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Comparing Minimum Wage Setting Mechanisms in Japan and Korea Searching for the Sources of Difference 일본과 한국의 최저임금 설정 메커니즘 비교 : 차이의 원인 탐구

저자

(Authors)

Michio Nitta, Jongwon WOO

출처

(Source)

산업관계연구 29(1), 2019.3, 107-132(26 pages) Korean Journal of Industrial Relations 29(1), 2019.3, 107-132(26 pages)

발행처

(Publisher)

한국고용노사관계학회 Korea Industrial Relations Association(Kira)

URL http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08011537

APA Style Michio Nitta, Jongwon WOO (2019). Comparing Minimum Wage Setting Mechanisms in Japan and Korea. 산업관계연구, 29(1), 107-132

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 107

The paper examines developments on minimum wage setting mechanisms (MWSM) in Japan and Korea in recent years, focusing on institutions, processes and outcomes of MWSM. Such attributes of the institution are examined as the basic minimum wage setting structures, the constitutions and deliberation procedures of the consultative bodies, and the factors considered in deciding annual minimum wage deliberation.

Some similarities are found. Both countries heavily rely on tripartite committees at the national level. Besides, both governments try to influence minimum wage setting procedures by indicating higher minimum wage is desirable. Contrarily, some differences are discovered. One difference is shown in the process of MWSM: it is much tougher in Korea than Japan. Another difference is observed in the outcome of MWSM: the minimum wages have increased much faster and higher in Korea than in Japan. From a system perspective, the differences may be related to what factors minimum wage setting organizations consider. While income distribution is

産 業 關 係 硏 究

第29卷 第1號, 2019. 3. pp.107~132 ⓒ 韓 國 雇 傭 勞 使 關 係 學 會

38)

Comparing Minimum Wage Setting Mechanisms

in Japan and Korea: Searching for the Sources

of Difference

Michio Nitta*․Jongwon WOO**

논문접수일 : 2019년 2월 1일, 심사의뢰일 : 2019년 2월 1일, 심사완료일 : 2019년 2월 27일 * Professor Emeritus, Institute of Social Science, The University of Tokyo, [email protected] ** Professor, Graduate School of Humanities and Social Sciences, Saitama University,

[email protected] *** Two referees’ comments on an earlier draft are gratefully acknowledged. Coversations with Professor

Yongjin Nho during the preparation of this article are appreciated as are those with Chair Dionne Pohler and Discussant Teiichi Sekiguchi during the 2018 ILERA.

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108 産業關係硏究 제29권 제1호

one of the important factors to be considered in Korea, it is not the case in Japan. It seems that the Korean MWSM is assigned a wider role to reduce income gap among workers, while the Japanese counterpart is allowed to focus more on specifically low wage group of workers.

The authors remind people of policy circles of the importance of wider perspective in examining performance of minimum wage policy. A minimum wage policy may produce expected results under certain circumstances and may not under other conditions. In order to reach a conclusion, one needs to consider wide range of related policies besides economic/social factors.

▶Keywords: minimum wage setting mechanisms; institutions,

processes and outcomes of MWSM; factors

considered in deciding annual minimum wage

deliberation

Ⅰ. Institutionalist Approach to Minimum Wage

This paper examines developments on minimum wage setting mechanisms, MWSM in

short, in Japan and Korea in recent years. The studies on minimum wage have tended

to focus on the employment effect of the government regulation to the competitive labor

market (Neumark, Salas, & Wascher, 2014). However, assuming the labor market

competition is imperfect, this perspective on minimum wages is “too narrow” (Kaufman,

2010). Kaufman asserts in the article that the purpose of the minimum wage is broader.

The purpose includes eliminating low labor standards, preventing unrestrained competition

in labor markets, and so on. From this institutionalist prospect, Kaufman insists that the

benefits and costs of a minimum wage vary not only by economic conditions including

labor market situation, but also by the “breadth, depth, and structure of the labor market

regulatory regime.”

The research question of this paper is whether different institutions of MWSM in Japan

and Korea lead to different processes and outcomes and if the answer is yes, how. To

answer the question, the authors’ basic premise follows the institutionalist labor and

employment research, originally provided by Commons (e.g. Commons, 1924) and

recently rethought by Kaufman (e.g. Kaufman 2010 above). Upon taking account of

improving labor standards as an important purpose of the minimum wage, this paper

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 109

argues institutions matter when MWSM operate to produce outcomes, i.e. certain levels

of minimum wage.

The basic framework of the study is shown in Figure 1. Though Kaufman said the

“breadth, depth, and structure of the labor market regulatory regime” might be important,

he did not incarnate the contents of the regime. In the discussion of ILO, for instance,

the difference of the minimum wage scheme between one based on direct government

regulation and the other supported by indirect collective bargaining was emphasized (ILO,

2008). However, even in that case, the structure/function of the government regulation and

the impact of the government regulation have not been revealed clear beyond that there

is a difference in composing the regulatory body among countries.

In examining the role of regulatory regime and its impact on economic conditions, the

authors set three constituents of MWSM: institutions, processes and outcomes. The

attributes of institutions the authors regard important are 1) basic minimum wage setting

structures (nation-wide or regional/sector-base, etc.) and decision making mechanisms

(political decision vs. reliance on a consultative body, etc.), 2) constitutions and

deliberation procedures of the consultative bodies that play crucial roles in MWSM, 3)

factors the consultative bodies are expected to consider in deciding annual minimum wage

deliberation, which are related to social norms. Those attributes would likely to affect

minimum wage setting processes.

The processes would also be influenced by various environmental factors, such as

economic conditions, political climate, social expectations and cultural traditions. While

admitting these factors’ influences, however, the paper tries to find out how the different

institutional arrangements influence the minimum wage setting processes in two countries

based on qualitative research methods of detailed case studies. The authors collect data

and closely observe developments in how MWSM work in two countries.

And finally, the paper analyzes how the distinct nature of the minimum wage setting

processes lead to some differences of outcomes in two countries. With regard to outcomes,

the study focuses on the labor standard aspect on considering that the most important

purpose of minimum wage is to elevate the labor standard of low-wage earners, though

the employment and the income equality are the other important aspects of the minimum

wage’s outcome. The paper especially examines the minimum wage’s effect on the

magnitude of directly influenced labor force, and its impacts on the overall wage

distribution. The study will not make analysis on the employment effects. However, it

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110 産業關係硏究 제29권 제1호

Figure 1. Minimum Wage Setting Mechanisms

may be suspected that if the wage effects are large, they can influence employment levels

in one way or other.

In studying actual performances of minimum wage, it is desirable to conduct cross

national comparison since normally there is only one minimum wage system in a country

and the number of observations to be analyzed would be limited (Neumark & Wascher,

2004). Using case studies of Japan and Korea, this paper approaches the attributes and

performances of minimum wage.

Ⅱ. Current State of Discussions in Japan and Korea

There have been fairly large number of studies on minimum wage in each country.

However, existing researches focus primarily on two aspects. A group of studies focus on

institutional aspects of the minimum wage system, which include minimum wage

deliberation structure/determination procedure and legal/social norms that affect MWSM.

Tamada (2009), Kanki (2011), Iwata (2010), Tamai (2016), Ogasawara (2018) in Japan,

and Jung, Ahn, and Pak (2003) in Korea investigated the institutional aspects of minimum

wage system in each country.

Another group of studies primarily focus on the economic effects of minimum wage,

especially the impact on employment. Regarding the influence of minimum wage on

employment, decisive study results have not been yet obtained worldwide. For instance,

Addison and Ozturk (2012), and Neumark, Salas, and Wascher (2014) found that the

minimum wage had a negative impact on employment. On the contrary, Allegretto, Dube,

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 111

and Reich (2011), and Leonard, Stanley, and Doucouliagos (2014) asserted that the

negative effects of the minimum wage on employment might be insignificant.

In Japan, Tachibanaki and Urakawa (2006), Abe and Tanaka (2007), Kawaguchi and

Yamada (2007), Ohtake, Kawaguchi, and Tsuru ed. (2013), JILPT (2016) examined the

effects of the minimum wage especially on particular employee groups such as part-timers

and youth. In Korea, Kim, D. (2012), Lee and Hwang (2016), Hong (2018), Kim, Y.

(2018) investigated the effects of the minimum wage especially on the employment of

low-income earners. The results obtained by those studies are divided. Some studies like

Ohtake, Kawaguchi, and Tsuru ed. (2013), and Kim, D. (2012) suggest negative effects

on at least some groups of workers. On the contrary, studies like Tachibanaki and

Urakawa (2006), and Kim, Y. (2018) do not find such effects. It is too early to draw

conclusion from those econometric studies particularly because of scarcity of panel data

and difficulties to examine the impacts of sharp rise of minimum wages in recent years.

In this study the authors pay special attention to a critical problem: the relationship

between institutional aspects and economic effects that has not been fully explored. If the

structure/procedure and the norms that compose a system differ, it should affect how the

system perform and bring about particular set of results. The institutional aspects and

economic effects of minimum wage systems may be intertwined, and the difference in the

former may produce some different results. Comparative study is a method that can be

utilized to elaborate the types of structure/function nexus.

There have been small numbers of cross-national studies of minimum wage systems.

For instance, Neumark and Wascher (2004) collected data on minimum wage from 20

countries from 1976 to 2000 and did an econometric analysis. Japan is included, and it

is concluded that minimum wage adversely affected youth employment in Japan. The

authors do not make an in-depth evaluation on this study because the focus is too narrow

for their research purpose. A government who searches for a better minimum wage system

would not find a useful advice in this type of study since the only lesson to be learned

would be that minimum wage is harmful for the economy and employment, and all the

government should abolish it as soon as possible. Most of developed countries have a

minimum wage system and it seems most of them will continue to exist for a while. The

authors argue that there is an acute need for knowledge on minimum wage, for instance,

how various types of minimum wage systems bring about particular set of results.

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112 産業關係硏究 제29권 제1호

Ⅲ. Basic Data Showing the Trends and the Differences

Figure 2 and Figure 3 show the transition of GDP per capita increase rates, average

wage increase rates, and minimum wage increase rates in Japan and Korea respectively

after 2000. In the case of Japan, the rate of minimum wage increase is the weighted

average of 47 local minimum wage increase rates.

Each figure compares the minimum wage increase rate to the average wage increase rate

by the size of establishments. In Japan, on average of 2000-2017, the increase rate of

minimum wage is 1.5%, higher than not only -0.5% of the establishments of 5-29

employees but also -0.4% of the establishments of 30 or more employees. The gap between

minimum wage increase rate and average wage increase rate has been within the range of

roughly 2%. Similarly, the average increase rate of minimum wage during 2000-2017 is

8.4% which exceeds by about 3.0% that (5.0%) of the establishments of 5 or more

employees, or that (5.3%) of the establishments of 10 or more employees in Korea.

A difference between Japan and Korea is shown in the comparison of minimum wage

increase rate to the GDP per capita increase rate. In Japan, on average of 2000-2017, the

gap between two rates is 1.2%, which means the minimum wage has increased more

speedily than GDP per capita. However, before the amendment of minimum wage law in

2007 that will be explained later, the average gap between two rates during 2000-2007

was lower than 0.5%, which implies the minimum wage increase had been relatively

restrained. Contrarily, the increase rate of minimum wage in Korea has significantly

surpassed that of the GDP per capita, except 2010 when the quick recovery from

world-wide recession occurred. On average of 2000-2017, the minimum wage increase rate

is 7.3% which is higher by 2.6% than the GDP per capita increase rate of 4.7%.

Besides the gap, one more interesting trend is that the increase rate of minimum wage

seems to move independently from economic conditions shown in the GDP increase rate

in both countries. In Japan, that trend started in 2007 when minimum wage began to be

taken up as an important policy tool and the Minimum Wage Act was revised. In Korea

that trend seems to have started after the economic crisis of 2008-2009.

In sum, Figure 2 and Figure 3 imply that there exist not only some similarities but also

some differences of the situation on minimum wage in its institution and operation

between Japan and Korea.

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 113

Figure 2. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Japan during

2000-2017

Sources: Cabinet Office, “National Accounts of Japan”; Ministry of Health, Labour and Welfare (MHLW), “Monthly Labour Survey”.

Figure 3. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Korea during

2000-2017

Sources: Bank of Korea, “National Accounts”; Ministry of Employment and Labor (MOEL), “Report on Labor Force Survey at Establishments”.

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114 産業關係硏究 제29권 제1호

When one makes observations and draw a comparison on minimum wages between two

countries, it is necessary to consider general economic conditions in the countries. For

instance, there may be an argument that such a comparison above is not appropriate

because a big difference in economic development stage exists between Japan and Korea.

During “the lost 20 years,” Japan experienced very low GDP growth with low or even

minus CPI rate. In contrast, Korea enjoyed relatively high economic growth with

comparatively high CPI rate during that period, although the GDP growth rate fell after

the 2007-2008 global financial crises.

An answer to this question is that the movement of minimum wage increase rate started

adrift from the movement of GDP growth rate in mid-to-late 2000s in two countries. It

suggests we need to focus more on other factors than general economic conditions if one

wish to understand the movement of minimum wage increase rate and MWSM that have

produced such trends.

Another answer to the question can be found in Figure 4. It shows the transition of

GDP per capita increase rate and wage increase rates in Japan during 1981-1991 when

Japan enjoyed higher economic growth. On average of 1981-1991, the minimum wage

increase rate was 4.0%, while the wage increase rate of the establishments of 30 or more

employees was 3.5%, and the GDP per capita increase rate was 5.7%. According to this

data, the absolute minimum wage increase rate during this period was certainly higher

than that of minimum wage during 2000-2017 shown in Figure 2, however the relative

increase rate of minimum wage, compared to the wage increase rate of the employees

working for the establishments of 30 or more, was not high. It was even very low,

compared to that of GDP per capita. One need to find some factors other than economic

conditions that would help him or her to understand the backgrounds of relatively low

increase rates of minimum wage in Japan during the period.

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 115

Figure 4. Transition of GDP Per Capita Increase Rate and Wage Increase Rates in Japan during

1981-1991

Sources: Cabinet Office, “National Accounts of Japan”; Ministry of Health, Labour and Welfare (MHLW), “Monthly Labour Survey”.

Ⅳ. Who Set the Minimum Wage and How?

In Japan, there are two kinds of minimum wage. One is the regional minimum wages,

and the other is industry/occupation specific minimum wages. The former, which are

decided by 47 prefectural minimum wage councils and are applied to all workers within

each prefecture regardless of industry and occupation, are more important in the coverage

and impact than the latter that are only applied to a particular group of workers in some

industries or occupations. Upon considering the target levels for annual minimum wage

increase set by the Central Minimum Wage Council (CMWC), each Local Minimum

Wage Council (LMWC) of 47 prefectures discusses and decides its own regional

minimum wage every year.

In contrast, only a single, nationwide minimum wage has been established in Korea,

while it is possible from the legal point of view to set a minimum wage specific to an

industry. Every year, the (National) Minimum Wage Commission (MWC) convenes and

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116 産業關係硏究 제29권 제1호

decides the nationwide minimum wage.

Japan and Korea have a similarity in minimum wage setting procedures. Both rely on

independent tripartite bodies which are composed of members representing public interests

(working with government), employer representatives, and worker representatives. In

Japan, the CMWC, which plays a decisive role in setting annual target increase level for

regional minimum wage discussions, consists of 18 members who are commissioned by

the government. Worker representatives and employer representatives are nominated by

each organization. In Korea, similarly, the MWC consists of 27 members. The labors, the

employers, and the government nominate 9 members respectively, although the members

are finalized and confirmed by the government.

If one look into deliberation procedures of those bodies, however, he or she will find

significant difference between two countries. In Japan, in the case of LMWC, in which

majority vote is used, at least two-thirds of the total council members, or one-third of each

group of members representing public interests, employers, or workers are needed in order

to make a decision. Proceedings of the council shall be decided with a majority of those

attending the meeting, and if the number of agreement and opposition is equal, the

chairperson decides. Actually, the public interests representatives play an adjuster role

between the employer side and the worker side. In the deliberation of minimum wage

setting meetings, the public interests representatives led by chairperson strive to reach a

unanimous result as much as possible.

In the more important CMWC deliberation, it does not use majority vote. At a

subcommittee to discuss annual target increase level, worker representatives and employer

representatives do not reach consensus but agree for public interests representatives to

present a report on annual target increase levels for CMWC general meeting. A practice

has been that CMWC general meeting accept the subcommittee report unanimously.

In Korea, it is similar that at least one-third of each group of members representing

employers or workers are needed in order to make a decision at the MWC. However, it

is different from Japan that this provision shall not apply to cases where worker

representatives or employer representatives fail to attend without justifiable reasons even

after the issuance of two or more summons. As this provision being misused, in fact, there

have been a lot of cases where worker members or employer members refuse to join the

meeting if their opinion is not accepted. Besides, unlike in the case of CMWC in Japan,

making effort to reach a unanimous (compromise) result has not been strongly pursued.

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 117

Instead, the MWC relies on the “concurrent vote of a majority of members present”.

The process of determining the minimum wage for 2019 shows the characteristic of

Korea in a clear way. At the 15th general meeting of the MWC on July 14, 2018, as

all the employer representatives and some worker representatives refuse to attend the

meeting, only a part of worker representatives and the members representing public

interests voted for final decision among the workers’ proposal (8,680 won, 15.3% higher

than the previous year) and public interests representatives’ proposal (8,350 won, 10.9%

higher than the previous year). The public interests representatives’ proposal received 8

votes while the workers’ proposal received 6 votes. Thus, public interests representatives’

one won the vote.

To tentatively conclude, even though it is common that tripartite bodies are in the

center of minimum wage setting in both countries, the negotiation process of determining

the minimum wage in those bodies is much tougher in Korea than in Japan. While the

compromising way of Japan has brought the moderate increase of the minimum wage, the

conflicting way of Korea has resulted in a sharp hike in the minimum wage level. We

need to examine the relationships between the processes and results of annual minimum

wage negotiations in two countries.

Ⅴ. Who Represent Workers’ Interests?

Regarding worker representatives in both countries, the representatives of national

centers of labor unions are mainly invited. The relevant provisions of Japan and Korea

say that the Ministry shall ask for relevant labor union centers to recommend a candidate

in order to appoint a member representing the workers at the Council/Commission.

However, there are some differences in how worker representatives are appointed. One

is that only one big center participates in the Council in Japan (There is a smaller center

but it does not send a representative to any of the Local and Central Councils), whereas

two major centers occupy seats in the Commission in Korea. In Japan, all of six seats

of worker representatives are occupied by the Japanese Trade Union Confederation

(JTUC-RENGO). In Korea, of the nine seats of worker representatives, five are allocated

to the Federation of Korean Trade Unions (FKTU) and four to the Korean Confederation

of Trade Unions (KCTU). FKTU and KCTU are not only different in vision and policy,

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118 産業關係硏究 제29권 제1호

but they also compete with other to secure more union members or supporters. It means

that the two unions may compete for wider coverage, and/or speedier increase, and/or

higher level of minimum wage. Actually, in the deliberation process of the minimum wage

for 2019 year, KCTU has chosen the way of refusing to attend the commission meeting,

due to the recent amendments to the minimum wage law, which, they claim, bring

disadvantages to some workers.

Another difference is that the mainly traditional union leaders discuss the matters in the

Council in Japan, whereas ‘new type’ worker representatives begin to voice their own

interests in Korea. In Japan, the worker members of the Council seem to represent the

interests of traditional unions, though a member nominated from UA Zensen is taking the

charge of the Department for Part-Time Workers at UA Zensen. In Korea, except seven

members from traditional unions, two members from new type worker organization are

participating the Commission: one from the “Korean Contingent Workers’ Center”

(nominated from FKTU) which tries to protect the rights of non-regular workers and

promote the unionization of those workers; and the other from the “Youth Community

Union” (supported by KCTU) which asserts itself the first ‘generation-based’ union in

Korea.

To summarize, the criticism that the interests of low-income earners like non-regular

workers, female workers, and young workers have not been sufficiently represented in the

minimum wage council/commission is harsher in Korea than in Japan, and participation

of various voices in the deliberation processes may make negotiation more complicated

and may affect the results reached. In the end, the gap may become wider between the

moderate increase in Japan and the sharp hike in Korea, although this outcome of

procedural difference has not to be over-valued.

Ⅵ. What Factors are to be Considered in Revising

Minimum Wage Levels and How?

In Japan, the Article 9 of Minimum Wage Act says the regional minimum wages shall

be set in consideration of living expenses of workers, wages of workers, and ordinary

employers’ ability to pay in the region. In Korea, the Article 4 of Minimum Wage Act

says the minimum wage shall be determined taking into account the cost of living of

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 119

workers, the wages of similar workers, the labor productivity and the distribution of

income, etc.

Relating to the criteria for calculating an appropriate minimum wage level, both

countries commonly consider living expenses and current wage levels. However, Japan

seems to place more importance on the wage payment ability of ordinary employers.

While employer representatives occasionally insist that ability to pay can best be appraised

by added value, the kind of data is not available in a timely way for an annual

negotiation. Thus, traditionally, actual wage increase rate of workers in small businesses

surveyed annually just before deliberation processes start in June has been regarded as the

most important indicator in the sense that it reflects both demand side (payment ability)

and the supply side (living expenses of workers). Wages of small business sectors were

stagnant in the survey, so were minimum wages closely linked to this data for a long

time.

In the meantime, “Working Poor” problems came to the fore in Japan in early 2000s,

particularly related to increasing number of ‘non-regular’ workers. In order to cope with

the problems, the Article 9 of Minimum Wage Act was amended in 2007. In the new

clause, “consistency with public assistance policies” shall be taken into account when

living expenses of workers are considered. The idea was that minimum wages should not

be less than the public assistance level in order that workers can maintain the minimum

standards of healthy and cultural living. Even though the difficulties in comparing levels

of public assistance (basically supporting family expenses per month) and minimum wage

levels (basically hourly wage for an individual worker) exist, some ways of calculation

measures were agreed upon in CMWC and the new clause was put into practice.

Triggered in part by this amendment, the degree of minimum wage increase got

significantly higher than before, as seen in Figure 2 above. As the minimum wages in

metropolitan areas such as Tokyo have risen faster and higher because public assistance

levels were higher in those areas, the gap between minimum wages in metropolitan areas

and non-metropolitan areas has also expanded.

After the effects of 2007 amendment were absorbed and some levels of parity were

achieved, more of a political pressure to increase minimum wages came to play important

role. Both conservative government of LDP-led coalition and progressive

middle-of-the-road government led by DP tried to influence minimum wage deliberation

processes and those pressures have clearly played an important role in the higher increases

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120 産業關係硏究 제29권 제1호

of minimum wages in late 2000s and 2010s as is observed in the figure above. The

governments moved to the direction to ameliorate uneasiness brought about by increasing

income gaps particularly related to regular versus non-regular divisions in the labor

market.

By contrast, Korean minimum wage systems take income distribution more directly into

consideration. In 2005, the Minimum Wage Act was amended and such a new criterion

as the improvement of income distribution was added to the bases of minimum wage

setting. After 2008, the MWC has utilized two indicators for income distribution rate. One

is the ratio of the first decile worker wage relative to the fifth decile worker wage, and

the other is the ratio of the minimum wage relative to the fifth decile worker wage. In

2015, the MWC decided to add the third indicator: the ratio of the minimum wage relative

to the average wage. Although the third indicator has not been used until the deliberation

process of 2018, it shows that the factor of income distribution has been very seriously

considered. Actually, the component of income distribution improvement has occupied a

considerable proportion of the minimum wage increase.

Interestingly, in both Japan and Korea recently, the economic policy considerations have

come to influence the level of the minimum wage. Both Abe government in Japan and

Moon government in Korea think that expansion of domestic demand is necessary for

economic growth, and higher increase of minimum wages can be a useful measure of

boosting domestic demand.

In the “Basic Policies on Economic and Fiscal Management and Reform 2018” decided

on June 15, 2018, for instance, the Abe government stated: “the government will raise

the minimum wage with an annual rate of around 3% while paying attention to the

nominal GDP growth rate.” Abe government added that in order to develop an

environment where small businesses can cope with higher hurdles of increased minimum

wage, it would implement consultation programs to improve productivity and profitability

of small businesses.

Similarly in Korea, Mr. Moon won the 2017 presidential election with the vision of

income-led growth. As an election pledge, Mr. Moon promised: "we will increase the

current minimum wage (hourly wage) to 10,000 won by 2020”. Soon after the

inauguration of new president, the MWC increased the minimum wage for 2018 to 7,530

won, 16.4% higher than previous year. And the MWC increased the minimum wage for

2019 to 8,350 won, 10.9% higher than current year. As of the bases of the determination

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 121

of the minimum wage for 2019, the MWC provided four indicators: the wage increase

rate (3.8%), the decline of minimum wage due to the amendment of the Act (1.0%), the

change of economic variables (1.2%), and the income distribution improvement (4.9%).

A problem caused by this rapid minimum wage increase is that SMEs began to complain.

To cope with the complaint, Moon government has implemented policies to subsidize part

of the minimum wage increase for SMEs that hire workers and pay for their social

insurance contributions.

Although Japan and Korea are similarly targeting the economic growth based on

domestic demand and reduced social gaps in the labor market, Korea more focuses on the

redistribution of income than Japan, which can be considered as one of the main factors

that have made the speed and rate of minimum wage increase in Korea faster and higher

than in Japan.

To summarize, the differences in the factors to be considered in deliberation of

minimum wages might be one of important causes for differences in how the deliberation

processes are managed and also the differences in the achieved results in Japan and Korea.

In Japan, emphasis is placed more on the business payment abilities, while it is placed

more on income redistribution in Korea. The differences of emphasis between two

countries might be instrumental in an important way to bring about different results, the

moderate increase of minimum wage in Japan compared to its sharp increase in Korea

as well as relatively stable and compromising deliberation processes in Japan and tough

ones in Korea.

Ⅶ. What are the Effects of Minimum Wage Hike?

Relating to the direct/indirect effects of minimum wage, it is often said that there is

a negative effect of minimum wage on employment, though its real effect is not clear and

its accurate measurement is difficult. Here, the authors try to examine the effects of

minimum wage increase over various kinds of wages. If one finds those effects

significantly big, it is more likely that the minimum wage increase policies would have

significant impacts on economy as a whole. Although both Japan and Korea have

constantly raised the level of minimum wage in recent years, it is natural to assume that

the direct impact of minimum wage increase must have been greater in Korea than in

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122 産業關係硏究 제29권 제1호

Japan, because of much higher hike in the former.

Figure 5 and Figure 6 show the transition of two indicators that represent the impacts

of minimum wage hike on wages in Japan and Korea. This study introduces not one but

two figures because estimating the minimum wage hike effects is not easy and each

government actually suggests two indicators to measure the effects. It is suspected that

the true picture may be in the middle of the two figures. Each figure shows two ratios.

One is the ratio of workers paid less than already revised minimum wages (hereinafter

referred to as ratio 1), and the other is the ratio of workers who will be paid less than

revised minimum wages after the revision (hereinafter referred to as ratio 2). Ratio 1

indicates to what extent the workers are actually under the situation of law violation, and

Ratio 2 indicates to what extent the workers will be directly influenced by raising the

minimum wages.

There is one thing to be aware of in comparing two countries by these figures. On one

hand, in the Japan data of Figure 5 (hereafter F5J), the workers working for small

businesses which hire less than 30 workers in commercial and service sectors and less

than 100 workers in manufacturing sectors are counted, based on the Basic Survey on

Minimum Wages. However, in the Japan data of Figure 6 (hereafter F6J), the workers of

all private businesses (including big companies) other than workers hired by very small

businesses with less than 5 persons are counted, based on the Basic Survey of Wage

Structure. Since smaller companies tend to pay less, there is a possibility that F5J may

be over-valued and F6J under-valued to a whole picture.

On the other hand, in the Korea data of Figure 5 (hereafter F5K), all kinds of workers

are counted, based on the Economically Active Population Survey which makes use of

household-unit samples. However, in the Korea data of Figure 6 (hereafter F6K), all the

workers working for businesses, except for self-employeds, are counted, based on the

Survey on Labor Conditions by Employment Type which makes use of enterprise-unit

samples. Since the coverage of ‘workers’ is wider and as a result the pay amount reported

by household survey tends to be less than that reported by enterprise survey, there is a

possibility that F5K may be over-valued and F6K under-valued to a whole picture.

As of Ratio 1, both of F5J and F6J have been lower and more stable than those of

Korea. The results may show law enforcement is more rigorous in Japan than in Korea.

They may also show that small business in Japan are in better positioned in the economy

and can endure rising minimum wages. Or they may just show that much higher pace of

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 123

minimum wage increases have put small businesses in Korea in a very difficult situation

to neglect minimum wage regulations. Whatever were the most influential factors, the data

suggest some problems to Korean government which tries to propel income of workers

and macro-economy by using minimum wage policies.

As of Ratio 2, Japan and Korea data show that they are all increasing. However, those

of Korea have been higher and increasing faster than those of Japan, which means that

a substantial number of small businesses in Korea are under pressure of the minimum

wage increase.

Figure 5. Transition of the Ratio of the Workers Paid Less and to be Less Paid than Minimum

Wage in Japan and Korea (Possibly over-valued based on BSMW and EAPS)

Sources: (Japan) MHLW, "Basic Survey on Minimum Wages"; (Korea) Minimum Wage Commission, "Manual for the Minimum Wage Deliberation in 2018", pp. 74-76, originally from Statistics Korea, “Economically Active Population Survey”.

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124 産業關係硏究 제29권 제1호

Figure 6. Transition of the Ratio of the Workers Paid Less and to be Paid Less than Minimum

Wage in Japan and Korea (Possibly under-valued based on BSWS and SLCET)

Sources: (Japan) MHLW, “Basic Survey of Wage Structure”; (Korea) Minimum Wage Commission, “Manual for the Minimum Wage Deliberation in 2018”, pp73, originally from MOEL, “Survey on Labor Conditions by Employment Type”.

Another way to evaluate the effects of minimum wages on wages is to focus on their

impacts on wage differential. It is expected that wage differential becomes more equitable

by raising low-paid worker wages using minimum wage policies. Here the authors observe

two indicators. One is the ratio of minimum relative to median wage (hereinafter referred

to as ratio 3). It is obtained by the following formula: (minimum wage of full-time

workers ÷ median wage of full-time workers) × 100. It indicates how much the workers

who are paid the minimum wage are reducing their gaps with workers paid for median

wages. The other is the ratio of low paid workers relative to total workers (hereinafter

referred to as ratio 4). It is obtained by the following formula: (number of workers earning

less than two-thirds of median wage ÷ total number of workers) × 100. This ratio

indicates how many workers are under the poor working conditions, even after the

minimum wage policy installed.

Figure 7 shows the transition of two ratios in Japan and Korea. The data show that

even if ratio 3, positioning minimum wage against median wage of fulltime workers, are

both increasing in Japan and Korea, it is increasing much faster in the latter and the level

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 125

has surpassed 50% level, which is significantly higher than the ratio in Japan which stays

at 40% level. However, ratio 4 of Japan has been systematically lower than that of Korea.

Near a quarter (22.3% in 2017) of total workers in Korea are not able to escape from

the condition of low wage earner, while in Japan it has been confined to 12.3% in 2017.

Figure 7. Transition of the Minimum-median Wage Ratio and the Low Paid Workers Ratio

Source: OECD, http://stats.oecd.org/, Minimum relative to average wages of full-time workers Median, 2019. 01; OECD, http://stats.oecd.org/, Decile ratios of gross earnings Incidence of low pay, 2019. 01.

This suggests wage distribution had been more equitable in Japan than in Korea before

minimum wage policies started to push for higher wages for low-paid workers. Figure 8

shows the 2017 wage distribution by decile data in Japan and Korea. The level of first

decile in Japan is higher than in Korea, and the level of ninth decile in Japan is lower

than in Korea, which implies the distribution gap in Korea is larger than in Japan.

Actually, both of the ratio of first decile relative to ninth decile and the ratio of first decile

relative to mean in Korea are lower than in Japan. In short, more workers in Korea

concentrate near low wage line, which makes it more difficult in Korea for the minimum

wage policy to achieve income distribution more favorable for low-paid workers. As the

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126 産業關係硏究 제29권 제1호

wage distribution is more acute issue in Korea, so is it necessary for Korean government

to pursue more equitable wage distribution using minimum wage push. As a result,

MWSM in Korea feels strong pressures from various corners of the society.

Figure 8. Wage Distribution in Japan and Korea in 2017

Source: (Japan) MHLW, “Basic Survey on Wage Structure in 2017”; (Korea) Statistics Korea, “Economically Active Population Survey in 2017”.

Ⅷ. Conclusion

As stated above, the authors found some basic features that are common between

developments in minimum wages in Japan and Korea. From institutional point of view,

both countries heavily rely on tripartite committees at the national level to manage annual

minimum wage setting procedures, although there is a difference that Korea has a

nation-wide single minimum wage in comparison with Japan’s having local minimum

wages. Even 47 local minimum wages are enforced in Japan, however, as a matter of

practice, the CMWC plays a decisive role by indicating the target increase level for

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 127

LMWCs.

From a policy perspective, both governments try to influence minimum wage setting

procedures by indicating that higher minimum wage is desirable both in Japan and Korea,

even if the Korean government is center-left and the Japanese government is conservative.

It seems both governments are concerned about divisive tendencies in the labor market

and regard higher minimum wages good for economic growth because it would help

increase consumption.

The authors also found major differences between developments on MWSM in two

countries. One of the most prominent differences is shown in the process of MWSM.

They are much tougher in Korea than Japan. Often, some groups of the members refuse

to participate in the process, and decisions made by MWC tend to be harshly criticized

by the public as well as both business and labor sides. On the contrary, CMWC in Japan,

even without internal rules to reach conclusions by majority vote, has reached conclusions

for a long time and both labor and management sides have accepted the opinions of public

interests representatives, although it has experience of lengthy negotiations.

Another of most prominent differences is found in the outcome of the processes.

Although recent minimum wages have increased significantly, and in a speed higher than

GDP growth rate both in Japan and Korea, they increased much faster and higher in

Korea than in Japan.

Those two aspects of differences may not be totally independent each other. It is likely

that the more does the process become tough when outside pressure for higher and faster

minimum wage increase is strong, the more does the outcome become conspicuous.

From a system perspective, the differences may be related to what factors minimum

wage setting organizations are supposed to consider. While income distribution is one of

the factors to be considered in Korea, it is not the case in Japan. It seems that the Korean

MWSM is assigned a wider role to reduce income gap among workers, while the Japanese

counterpart is allowed to focus more on specifically low wage group of workers. From

this perspective, if Korean government and/or other actors try to pursue less tough

processes in MWSM, they may consider reducing burdens on the processes by developing

other policy channels to be responsible for improving income distribution.

In the case of Japan, the government is also concerned about widening income gap

particularly related to increasing number of non-regular workers when it includes higher

and steady increase of minimum wage in its labor-market reform plan. It seems, however,

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128 産業關係硏究 제29권 제1호

the Japanese government counts more on the new wage-parity laws between regular and

non-regular workers to reduce the widening wage gap. If the high expectation placed on

the wage parity laws does not materialize, then it is possible that the minimum wage may

be given a bigger role in the fight for income equality.

The authors remind people of policy circles of the importance of wider perspective in

examining performance of minimum wage policy. A minimum wage policy may produce

expected results under certain circumstances and may not under other conditions. One

needs to consider wide range of related policies and economic and social factors to reach

a conclusion. The authors recommend that concerned people should rely on such a broad

perspective to discuss about minimum wages.

Finally, regarding the theoretical implications of the study, this paper found the

approach proposed by Kaufman based on institutional economics giving fruitful

backgrounds for further research on minimum wages. The authors developed the

framework by suggesting that institutions, processes, and outcomes are important to

explicate MWSM. The authors also elaborated the framework by proposing that structures,

procedures, and factors are critical in consideration of the institutions. With this

framework, the authors investigated what actually are going in Japan and Korea. As of

now, both governments of Japan and Korea are strongly concerned about wage gap

between worker groups, particularly regular versus non-regular workers. These two

governments, while one is a center-left in Korea and the other is a conservative in Japan,

are fighting against depression in the economy. However, examining the effect of this

fighting needs further study.

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Comparing Minimum Wage Setting Mechanisms in Japan and Korea: Searching for the Sources of Difference (Michio Nitta ․ Jong-Won WOO) 129

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132 産業關係硏究 제29권 제1호

국문요약

일본과 한국의 최저임금 설정 메커니즘 비교: 차이의 원인 탐구

니타 미치오․우종원

이 논문은 최저임금을 전반적으로 규정하는 제도, 과정 및 성과에 초점을 맞추어 근래의

한국과 일본의 최저임금 설정 메커니즘(MWSM)을 검토한다. 이때 제도를 고려함에 있어

서는 첫째, 최저임금 결정구조, 둘째, 최저임금심의회의​​ 구성 및 심의절차, 셋째, 최저임금

심의 결정 시 고려되는 요인을 중요시한다.

검토 결과 다음과 같은 사실이 발견되었다. 한일 간에는 유사점이 존재한다. 3자 구성의

심의회에 의존하고 있는 점, 양국 정부가 최저임금 인상이 바람직하다는 인식 아래 최저임

금 설정에 영향을 미치려고 노력하고 있는 점 등이 그것이다. 반면, 한일 간에는 차이점도

존재한다. 그 하나는 MWSM의 프로세스에서 관찰되는 것으로서, 일본보다 한국이 훨씬

더 터프하다는 점이다. 다른 하나는 MWSM의 성과에서 보여지는 것처럼, 최저임금은 일

본보다 한국에서 훨씬 더 빠르게 인상되고 있다는 점이다. 시스템적 관점에서 볼 때, 이런

차이점은 최저임금 설정 시 고려되는 요인과 관련이 있다. 소득분배는 한국에서 고려되는

중요한 요소 중의 하나지만 일본에서는 그렇지 않다. 한국의 MWSM은 근로자의 소득격

차를 줄이는 데 더 많은 역할이 주어지는 반면, 일본의 MWSM은 특정 저임금근로자의

상태에 ​​더 집중한다.

본 논문은 최저임금정책의 성과를 검토함에 있어 좀 더 폭넓은 관점을 가지는 것이 중

요하다는 점을 정책관계자에게 상기시킨다. 최저임금정책은 특정 상황 아래에서는 예상되

는 결과를 산출할 수 있지만 다른 조건 아래서는 그렇지 못할 수도 있다. 최저임금정책에

서 어떤 결론을 내리기 위해서는 경제적 혹은 사회적 요인과 더불어 광범위한 정책적 요

인을 고려해야 한다.

주제어: 최저임금 설정 메커니즘, 최저임금을 이루는 제도와 과정 및 성과, 최저임금 결정 시 고려되는

요인

University of Illinois(일리노이대학교) | IP:130.126.***.5 | Accessed 2020/08/03 06:34(KST)

  • Comparing Minimum Wage Setting Mechanisms in Japan and Korea
    • Ⅰ. Institutionalist Approach to Minimum Wage
    • Ⅱ. Current State of Discussions in Japan and Korea
    • Ⅲ. Basic Data Showing the Trends and the Differences
    • Ⅳ. Who Set the Minimum Wage and How?
    • Ⅴ. Who Represent Workers’ Interests?
    • Ⅵ. What Factors are to be Considered in Revising Minimum Wage Levels and How?
    • Ⅶ. What are the Effects of Minimum Wage Hike?
    • Ⅷ. Conclusion
    • References
    • 국문요약

__MACOSX/bibliography/._Comparing Minimum Wage Setting Mechanisms in Japan and Korea.pdf

bibliography/Minimum wage introduction and employment Evidence from.pdf

Economics Letters 139 (2016) 18–21

Contents lists available at ScienceDirect

Economics Letters

journal homepage: www.elsevier.com/locate/ecolet

Minimum wage introduction and employment: Evidence from South Korea Jisun Baek a,∗, WooRam Park b,1 a KDI School of Public Policy and Management, 263 Namsejong-ro, Sejong-si, 30149, Republic of Korea b Korea Development Institute, 263 Namsejong-ro, Sejong-si, 30149, Republic of Korea

h i g h l i g h t s

• We examine the effect of the introduction of minimum wage on employment in Korea. • We apply a difference-in-differences framework to the plant-level panel data. • The introduction of minimum wage increased the average remuneration for employees. • The minimum wage introduction had no discernible effect on plant-level employment.

a r t i c l e i n f o

Article history: Received 5 September 2015 Received in revised form 29 November 2015 Accepted 13 December 2015 Available online 24 December 2015

JEL classification: J21 J38

Keywords: Minimum wage introduction Difference-in-differences Employment Plant-level South Korea

a b s t r a c t

This paper examines the effect of the introduction of the national minimumwage on plant-level employ- ment in South Korea.We show that theminimumwage introduction increased the average remuneration for employees, but has no discernible effect on plant-level employment.

© 2015 Elsevier B.V. All rights reserved.

1. Introduction

The impact of the minimumwage on employment is an empir- ically controversial question. In particular, the existing literature fails to agree concerning whether theminimumwage reduces em- ployment (Card and Krueger, 1997; Neumark and Wascher, 2007; Schmitt, 2013). The goal of this paper is to provide new evidence regarding the effect of minimum wage on employment. We at- tempt to contribute to the literature by examining the effect of the introduction of minimumwage in contrast to the impact of the in- cremental increases in theminimumwage. In particular, relatively

∗ Corresponding author. Tel.: +82 44 550 1016. E-mail addresses: [email protected] (J. Baek), [email protected]

(W. Park). 1 Tel.: +82 44 550 4184.

http://dx.doi.org/10.1016/j.econlet.2015.12.014 0165-1765/© 2015 Elsevier B.V. All rights reserved.

few studies on the minimum wage have investigated the effect of the introduction of minimum wage, with most research regard- ing minimumwage focusing on the effect of incremental increases in the minimum wage. Moreover, most literature about the effect of the introduction of a minimum wage has been focused on the experience of the United Kingdom, where the national minimum wage was first enacted in 1999 (Draca et al., 2011; Metcalf, 2008; Stewart, 2004). We extend the understanding of the effect of the introduction of a minimum wage by documenting the experience of Korea, where a minimum wage was first enforced in 1988.

Using the fact that the introduction of the minimum wage had a larger effect on low-wage plants than on high-wage plants, we apply a difference-in-differences framework to the plant-level panel data to reveal the causal effect of the newly introduced minimum wage. Our empirical result shows the introduction of minimum wage increased the wage at the plants that had been paying below the minimum wage level prior to the enforcement

J. Baek, W. Park / Economics Letters 139 (2016) 18–21 19

of minimum wage. However, we find that the minimum wage introduction did not have any discernible adverse effect on plant- level employment.

The remainder of the paper is organized as follows: Section 2 addresses the detailed institutional background regarding the introduction of minimum wage in Korea, and describes the plant- level panel data used in this study. Section 3 explains the empirical strategy adopted for the analysis, followed by a discussion of the results in Section 4. Section 5 includes a summary and concluding remarks.

2. Background and data

In Korea, no law regulated the minimum wage until 1986, although the Labor Standard Act was passed in 1953 to protect workers’ basic rights at work. To improve the working conditions of low-paid workers, the Minimum Wage Act was passed by leg- islators, and enacted December 31, 1986. The law stipulated that the Minimum Wage Council would determine the first minimum wage rate by December 15, 1987, and the rate would be applied from the beginning of the following year—January 1, 1988. In the initial stage, the minimum wage was applied only in manufactur- ing plants with 10 or more employees. It was eventually expanded to all plants in 1999.

After numerous debates, in December 24, 1987, the Minimum Wage Council determined the initial minimumwage. In particular, in 1988, the initial minimum wage applied was 462.50 Korean won(KRW) per hour and 111,000 KRW per month for the low- paying manufacturing industries, and 487.50 KRW per hour and 117,000 KRW per month for the rest of the manufacturing sector.2

Exploiting this initial minimum wage level, we use the Mining andManufacturing Survey from 1983 and 1990, to analyze the im- pact of the minimum wage introduction. The data were collected by Statistics Korea, and include detailed information about all min- ing and manufacturing plants with five or more workers, such as the standard industry classification; the number of employees; the amount of tangible assets, including capital; and the amount of energy input and non-energy input. Because the minimum wage was initially applied only in themanufacturing sector, we limit the sample tomanufacturing plants.We also exclude plantswith fewer than 10 employees because they were regarded as qualitatively different from other plants, so were initially exempt from themin- imum wage enforcement. Moreover, as endogenous exits and en- tries of plants due to the implementation of the minimum wage could bias the estimates, we construct a balanced panel and focus on the plants observed in every wave of the surveys during the pe- riods analyzed in this study. Finally, to increase the comparability across plants in the sample, we exclude plants that paid above, in 1987, 250,000 KRW—approximately twice of the initial minimum monthly wage.3 Table 1 shows summary statistics of the key vari- ables in the dataset used for our main analysis.

2 The low-paying manufacturing industries, noted as ‘‘Group 1’’, include 12 industries based on three-digit standard industry classifications, such as Food Manufacturing, Manufacture of Textiles, Manufacture of Paper and Paper Products, and Manufacture of Pottery China and Earthenware. After the initial implementation of the minimum wage in 1988, the minimum wage has been increased every year during our periods of analysis. In particular, in 1989, the hourly minimum wage was 600 KRW and was increased to 690 KRW in 1990. Moreover, the council has not set the minimum wage separately for industries since 1988. 3 Weprovide the results based on the plantswithout awageupper bound in Panel

A of Table A.1 in the Appendix. The result is qualitatively and quantitatively similar to the main result.

Table 1 Summary statistics.

Variables Mean SD (1) (2)

Number of employees 42.50 49.43 Total labor cost (mil. KRW) 134.27 190.11 Labor cost per worker (mil. KRW) 2.96 1.52 Total annual wage (mil. KRW) 117.73 158.53 Annual wage per worker (mil. KRW) 2.65 1.26 Average monthly wage (mil. KRW) 0.23 0.11 Energy input used (mil. KRW) 35.54 119.99 Non-energy input used (mil. KRW) 599.65 1591.51 N(obs) 29495

N(obs) is the number of observations and SD indicates the standard deviation. The sample includes 3687 plants surveyed from 1983 to 1990. Labor cost of plants includes wages, insurance contributions, severance pay, and cost of employee benefits. Average monthly wage is the annual wage per worker divided by 12. Energy input includes the cost of fuel and electricity. Non-energy input indicates the cost of production other than labor, capital and energy input, such as material costs and cost of water. All monetary values are in current price.

3. Empirical strategy

To reveal the causal effect of the introduction of the minimum wage, we use the fact that low-wage plants, paying below the minimum wage, were likely to be substantially affected by the minimum wage enforcement. This empirical setting allows us to apply a difference-in-differences framework.4 In particular, we partition the manufacturing plants into a treatment group and a control group based on the average monthly wage in 1987, prior to the enforcement of the initial minimum wage rate in 1988.5 Thus, the treatment group consists of plants in which the average monthly wage in 1987 was less than the initial minimummonthly wage (referred to as ‘‘low-wage plants’’), and the control group consists of plants in which the average monthly wage in 1987 was higher than the initial minimum wage. Comparing the outcomes for the low-wage plants with those for the high-wage plants, we can capture the effect of theminimumwage introduction. Thus, the effect of the minimumwage introduction could be summarized by the estimates from the following equation (1):

Yijt = βAfter t · Treat i + X ′

ijtΦ + δi + γj + τt + ξjt + ϵijt (1)

where Yijt is an outcome variable such as the average wage per worker and the number of workers employed at each plant i in industry j in year t . After t is a dummy variable for the periods after the initial minimum wage was applied. Treat i is a dummy variable indicating whether the initial implementation of the policy affected the plant. In other words, Treat i takes a value equal to one if plant i’s average monthly remuneration for its employees in 1987 was less than the minimum wage applied in 1988. Thus, the coefficient of the interaction between After t and Treat i, β , will summarize the effect of the introduction of the minimum wage. The control variables include time-varying plant-specific variables such as the log of energy and non-energy inputs, X; plant-, industry-, and time-fixed effects, δi, γj and τt respectively; and industry × year fixed effects, ξjt , to control unobserved shocks to specific industries in a given year.

Furthermore, we alternatively use a continuous measure of the treatment intensity based on the difference between the pre- policy wage and the minimum wage applied in 1988. Because the

4 Our empirical strategy is similar to the previous literature that examined the effect of a minimum wage at the plant-level (Draca et al., 2011; Haepp and Lin, 2015; Riley and Bondibene, 2013). 5 A more appropriate measure would be the proportion of employees whose

monthly wage was below the minimum wage rate prior to implementation of the policy (Dube et al., 2007). Unfortunately, we cannot use that measure because the data do not have information about the wages of individual workers.

20 J. Baek, W. Park / Economics Letters 139 (2016) 18–21

Table 2 Employment and Labor Cost Before and After Introduction of the MinimumWage, 1983–1990.

Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)

Panel A: Treat = low-wage plant Treat ∗ After 0.146** 0.112** 0.164** 0.128** 0.0209

(0.040) (0.024) (0.040) (0.023) (0.034)

adj. R-sq 0.884 0.764 0.880 0.753 0.885 N 29496 29496 29496 29496 29496

Panel B: Treat = −(Pre-policy wage − Minimum wage) for low-wage plants Treat ∗ After 2.898** 1.867** 3.402** 2.325** 0.676

(1.038) (0.577) (1.025) (0.562) (0.915)

adj. R-sq 0.884 0.763 0.880 0.753 0.885 N 29496 29496 29496 29496 29496

Standard errors in parentheses are clustered at the plant-level. Treat ∗ After is the interaction between After and Treat where After is a dummy variable indicating the period after the introduction of the national minimumwage in 1988 and Treat is defined as follows. In Panel A, Treat is equal to one if the average monthly wage of plant i in 1987 was lower than the initial minimum wage applied in 1988; otherwise, Treat is zero. In Panel B, Treat takes the absolute difference between the averagemonthlywage paid in 1987 and theminimumwage applied in 1988 if the average monthly wage is less than the minimum wage; otherwise, Treat is zero. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.

employers had to pay at least to the ‘minimum’, it is likely that the introduction of minimum wage became more burdensome for the plants with a larger difference between the pre-policy average wage and the minimum wage rate. In order to allow the differential impact between plants in the treatment group, we define a continuous treatment intensity as follows:

Treatment Intensityi

=

 −

 Wagei,1987 − MinWage

 ifWagei,1987 < MinWage

0 ifWagei,1987 ≥ MinWage (2)

where Wagei,1987 is plant i’s average monthly wage paid in 1987 and MinWage is the initial minimum wage rate applied in 1988. The treatment intensity takes 0 for the plants in the control group.6 The estimated coefficient of the interaction between the treatment intensity andAfter t will capture the effect of the introduction of the minimum wage.

4. Results

In this section, we discuss the empirical results regarding the impact of the introduction of minimum wage on average remuneration and plant-level employment.

Table 2 summarizes the results of estimating Eq. (1) using various outcome variables. Columns (1)–(4) show the positive and significant coefficients of the Treat · After , indicating the low- wage plants experienced a larger increase in total labor cost, labor cost per worker, total annual wage, and annual wage per worker than did the high-wage plants. These results indicate that plants complied with the minimum wage legislation; thus, the minimum wage policy was enforced well in Korea. We then examine whether the introduction of minimum wage had an effect on plants’ employment, and find it had a limited effect on employment. Column (5) of Table 2 reports the result for

6 As robustness checks, we use two alternative continuous treatment intensities, allowing plants paying much higher than the minimum to be treated differently from the plants paying slightly higher than the minimum wage. First, we apply (−1) ·

 Wagei,1987 − MinWage

 regardless of the value of Wagei,1987 . In addition,

we adopt a treatment intensity, (−1) · ln(Wagei,1987), as in Draca et al. (2011). The estimated results are summarized in Panels B and C of Table A.1 in the Appendix, respectively. The results based on the two alternative treatment intensities exhibit the same pattern of results as the main result.

estimating Eq. (1) using the log number of employees at the plant as an outcome variable. The estimated coefficient is statistically indistinguishable from zero. Therefore, our results support the recent literature documenting the limited effect of the minimum wage on employment (Dube et al., 2010; Hirsch et al., 2015).

As a robustness check, we perform a falsification test by introducing a pseudo minimum wage in 1985 (instead of 1988). Specifically, we estimate with the Eq. (1), adopting the treatment indicator and the treatment intensity based on the average monthly wage paid at each plant in 1984 and regarding 1985 as the initial year under the policy. If our main results are simply capturing the difference in the existing trend in the outcome variables, the placebo introduction of minimum wage would pick up the difference as well, so the estimated coefficients for labor cost and annual wage should be statistically significant. However, the results in Table 3 show no significant difference in total labor cost, average labor cost, total annual wage, or average annual wage between the control and treatment groups, thereby reinforcing the validity of our finding.

5. Conclusion

In this paper, we examine the effect of the introduction of national minimum wage on plant-level employment. We exploit the timing of the implementation and the initial minimum wage rate in Korea to identify the causal effect of the minimum wage introduction. Applying a difference-in-differences framework to the plant-level panel data, we document that the introduction of minimum wage induced the low-wage plants to increase their average remuneration for their employees. However, we find that the introduction of minimumwage did not adversely affect plants’ employment despite its effect on the labor cost of plants.

Acknowledgments

We would like to thank Dr. Kim, Dongseok for providing the panel version of the Mining and Manufacturing Survey data used in this paper.

Appendix

See Table A.1.

J. Baek, W. Park / Economics Letters 139 (2016) 18–21 21

Table 3 Employment and Labor Cost Before and After Imaginary Introduction of the National MinimumWage, 1980–1987.

Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)

Panel A: Treat = low-wage plant Treat ∗ After −0.0482 −0.0125 −0.0490 −0.0134 −0.00734

(0.042) (0.027) (0.042) (0.027) (0.042)

adj. R-sq 0.843 0.657 0.842 0.640 0.787 N 17536 17404 17536 17404 17536

Panel B: Treat = −(Pre-policy wage − Minimum wage) for low-wage plants Treat ∗ After −0.768 0.369 −0.810 0.322 0.223

(1.269) (1.014) (1.240) (1.003) (1.454)

adj. R-sq 0.843 0.657 0.842 0.640 0.787 N 17536 17404 17536 17404 17536

Standard errors in parentheses are clustered at the plant-level. Treat ∗After is the interaction between After and Treat , where After is a dummy variable indicating the period after an imaginary introduction of minimumwage in 1985 and Treat is defined as follows. In Panel A, Treat is equal to one if the average monthly wage of plant i in 1984 was lower than the minimum wage applied in 1988; otherwise, it is equal to zero. In Panel B, Treat takes the absolute difference between the average monthly wage paid in 1984 and the minimum wage applied in 1988 if the average monthly wage is less than the minimum wage; otherwise, it is equal to zero. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.

Table A.1 Robustness checks.

Dependent variable ln(total labor cost) ln(labor cost per worker) ln(total wage) ln(wage per worker) ln(number of employees) (1) (2) (3) (4) (5)

Panel A: Sample containing all wage levels Treat ∗ After 0.135** 0.129** 0.158** 0.151** −0.0118

(0.038) (0.022) (0.038) (0.022) (0.032)

adj. R-sq 0.915 0.802 0.912 0.788 0.906 N 65896 65896 65896 65896 65896

Panel B: Treat = −(Pre-policy wage − Minimum wage) for low- and high-wage plants Treat ∗ After 1.002** 0.826** 1.113** 0.931** 0.0919

(0.179) (0.099) (0.176) (0.097) (0.160)

adj. R-sq 0.884 0.764 0.880 0.754 0.885 N 29496 29496 29496 29496 29496

Panel C: Treat = − ln(Pre-policy wage) for low- and high-wage plants Treat ∗ After 0.156** 0.122** 0.174** 0.139** 0.0200

(0.029) (0.016) (0.029) (0.016) (0.026)

adj. R-sq 0.884 0.764 0.880 0.754 0.885 N 29496 29496 29496 29496 29496

Standard errors in parentheses are clustered at the plant-level. Treat ∗ After is the interaction between After and Treat where After is a dummy variable indicating the period after the introduction of the national minimumwage in 1988 and Treat is defined as follows. In Panel A, Treat is equal to one if the averagemonthly wage of plant i in 1987was lower than theminimumwage applied in 1988; otherwise, it is equal to zero. In Panel B, Treat is equal to−(Pre-policy wage−Minimumwage) regardless of the value of Pre-policy wage. Finally, in Panel C, Treat is defined as negative of log of Pre-policy wage for all plants in the sample. Controls include the logarithm of energy input, the logarithm of non-energy input(other than labor and capital); a set of dummy variables for exporting plants × year; and plant-, industry(three-digit classification)-, year-, and industry × year fixed effects. ∗ p < 0.05, ∗∗ p < 0.01.

References

Card, D., Krueger, A.B., 1997. Myth and Measurement: The New Economics of the MinimumWage. Princeton University Press.

Draca,M.,Machin, S., Reenen, J.V., 2011.Minimumwages and firmprofitability. Am. Econ. J.: Appl. Econ. 3 (1), 129–151.

Dube, A., Lester, T.W., Reich, M., 2010. Minimumwage effects across state borders: Estimates using contiguous counties. Rev. Econ. Stat. 92 (4), 945–964.

Dube, A., Naidu, S., Reich, M., 2007. The economic effects of a citywide minimum wage. Ind. Labor Relat. Rev. 60 (4), 522–543.

Haepp, T., Lin, C., 2015. How does the minimum wage affect firm investments in fixed and human capital? evidence from China. Paper presented in The Society of Labor Economists-European Association of Labour Economists World Conference, Montreal, Canada, June 2015. URL: http://www.sole- jole.org/Haepp-Lin.pdf.

Hirsch, B.T., Kaufman, B.E., Zelenska, T., 2015. Minimum wage channels of adjustment. Ind. Relations: J. Econ. Soc. 54 (2), 199–239.

Metcalf, D., 2008. Why has the British national minimum wage had little or no impact on employment? J. Ind. Relat. 50 (3), 489–512.

Neumark, D., Wascher, W.L., 2007. Minimum wages and employment. Found. Trends Microecon. 3 (1–2), 1–182.

Riley, R., Bondibene, C.R., 2013. The impact of the national minimumwage on firm behaviour during recession. In: Report to the UK low pay commission. National Institute of Economic and Social Research.

Schmitt, J., 2013. Why does the minimum wage have no discernible effect on employment? In: CEPR Reports and issue briefs 2013-04. Center for Economic and Policy Research.

Stewart, M.B., 2004. The impact of the introduction of the UK minimum wage on the employment probabilities of low-wage workers. JEEA 2 (1), 67–97.

  • Minimum wage introduction and employment: Evidence from South Korea
    • Introduction
    • Background and data
    • Empirical strategy
    • Results
    • Conclusion
    • Acknowledgments
    • Appendix
    • References

__MACOSX/bibliography/._Minimum wage introduction and employment Evidence from.pdf

bibliography/research_poster.pdf

Who are Hired?

The Impact of the Minimum Wage Increase on Job Recruitment by Agri-Business Companies

So-jin kim

Department of Agricultural Economics Chungbuk National University e-mail: [email protected]

Mi-seok kim

Department of Agricultural Economics Chungbuk National University

e-mail: [email protected]

Do-il Yoo Department of Agricultural Economics

Chungbuk National University e-mail: [email protected]

Selected Poster prepared for presentation at the 2019 Agricultural & Applied Economics Association

Annual Meeting, Atlanta, GA, July 21-23

Copyright 2019 by So-jin kim, Mi-seok kim, and Do-il Yoo. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies.

Who are Hired? The Impact of the Minimum Wage Increase on Job Recruitment by Agri-Business Companies

So-jin Kim, Mi-seok kim , & Do-il Yoo* The Department of Agricultural Economics at Chungbuk National University in Korea

*corresponding author

Research Background

The enlargement of low-wage and non-regular workers is one of the long-standing problems of the labor market, which undermines decent and stable employment. Korea is also one of countries suffering from those problems. For instance, according to the Statistics Korea, non-regular workers occupy 32.9% of total wage workers by 2017 in Korea, amounting to 6.54 million people. Also, low-wage workers occupy 23.8% of total workers. For one of solutions dealing with those problems, the present Korean government implemented the policy increasing the minimum wage whose increase rate amounting to over 10% since 2017. As a result, the proportion of low-wage workers was 18% in 2018, which is 5.8% lower than 2017. However, some argue that such an increase causes adverse effects of a decline in labor demand; if the labor market is assumed to be a perfectly competitive, the rise of wage causes the decrease of total labor demand by shifting the optimal point on the demand curve.

The decline in labor demand seems to be more serious for those majoring in agriculture and food industry, who are experiencing serious employment difficulties. The employment rate of graduates with four-year agricultural majors was only 30.4% in 2015. From among these, only 21.9% were employed in the same industry, which was less than 10% of the total majors (MAFRA, 2015). Thus, the decrease in labor demand seems to lead to a more evil tendency to select career paths for agricultural workers than those from other industries. In the case of agricultural companies, the increase of the minimum wage can cause a limitation of operating costs. This budget constraint can result in a reduction in the number of new recruits. Reduced recruitment personnel can make companies more prudent and conservative in the preference of recruitment. This may confuse job seekers majoring in agricultural fields because companies may change their preferences by the impact of increased minimum wage.

Research Object The purpose of this study is to investigate whether the increase of minimum wage has a significant impact on recruitment of companies related to the agriculture and food industry. First, we would discover the level of workers’ competencies companies want. Second, we suggest the implications for impact of increased minimum wage on the preference for workers.

Previous Literature Previous literature tend to analyze only the impact of increased minimum wage on company management or labor demand without potential ripple effects such as changes in preferences for talented people(Allegretto et al., 2018; Jardim et al., 2017; Dube et al., 2016; Meer and West, 2013) However, most of previous literature has not dealt with both direct impacts and associated ripple effects of the increased minimum wage in the agriculture and food sector. Therefore, our study differs from the previous literature in the sense

that we analyze the changes of the preferred talents by the agriculture and food companies, corresponding to the ripple effects of the minimum wage increase.

The data, which is used in this study, is survey data from 2018 to 2019. The survey aimed for agricultural companies by using fax and e-mail. The questionnaires of survey are consisted of eight competences which are expected to consider when the company hire. One choice set of the 6 profiles consists of A, B, and C. C means no one chooses. considering the convenience of response according to the order of questions, three types were classified in one block for randomaizing.

The conditional logit model, such as mixed-logit model, assumes that the error terms are independent of each other(Independence of Irrelevant Alternative, IIA), so that which follow type I extreme value distribution. In order for the analysis through mixed-logit model to be valid, it is necessary to test whether IIA assumption is satisfied. For this reason, we conduct Hausman and Mcfadden(HM) test as formula (4).

(4) br − bf ′[𝑐𝑜𝑣(br) − 𝑐𝑜𝑣(bf)]

−1 br − bf

𝑏𝑓: estimated coefficients of total model

𝑏𝑟: estimated coefficients of restricted model

𝑐𝑜𝑣(𝑏𝑟), 𝑐𝑜𝑣(𝑏𝑓): covariance matrix of each model

In the variables “major in Agriculture" and "understanding of agricultural industry", coefficient values decreased at the significance level of 1%. On the other hand, the "understanding other major" variable showed a 1% significance level at the value not significant by 2018, and the coefficient value also increased.

In the case of language ability, the results of 2019 were not significant. There was no significant difference from the results of 2018 as the variables "presence of certification" and "experience of activities" showed small changes within the standard deviation. Finally, the value variable is significantly lowered from 0.7349 to 0.4869 in 2019

Summary and Conclusions According to the results of the analysis, the agricultural companies were affected by the minimum wage increase but did not reduce the number of recruits. This suggest s that there is room for an increase in demand for manpower of agri-food compani es. Although the increase in minimum wage has led to an increase in new employee salary, they have a willingness to hire applicants in agri-food companies. Also, the smaller the sales, the bigger willingness to hire.

Let's look at the preference change due to the above impact. In 2019, whe n the minimum wage increased, the preference for highly skilled workers who are a griculture majors and who deeply understand agriculture has decreased compared to 2018. On the other hand, it seems that they prefer the people who have a better understanding of other majors. Another important characteristic is that they prefer p eople who emphasize individual competency development rather than those who ha ve high organizational loyalty.

In summary, it is found that as the minimum wage increases, the agri-food enterprises select the talents who have a higher understanding of other major than the agriculture and emphasize the development of individual competence. Because of the uncertainty about paying high wages, Agri-food companies prefer to have a v ariety of knowledge and proven talent who can develop their own personal abilities rather than being framed in the same way as grades.

References

Allegretto, S., and M. Reich, 2018, “Are Local Minimum Wages Absorbed by Price Increases? Estimates from Internet-based Restaurant Menus,” ILR Review, 71(1): 35-63.

Dube, A., T. W. Lester, and M. Reich, 2016, “Minimum Wage Shocks, Employment Flows, and Labor Market Frictions,” Journal of Labor Economics, 34(3): 663-704.

Jardim, E., M. C. Long, R. Plotnick, E. V. Inwegen, J. Vigdor, and H. Wething, 2017, “Minimum Wage Increases, Wages, and Low-wage Employment: Evidence from Seattle,” National Bureau of Economic Research, No. w23532

Kwon, O. S., 2006, “Valuing Recreational Benefits of Dam Lakes with a Combined Model of Revealed and Stated Preference Methods,” Environmental and Resource Economics Review, 555-576.

McGraw, K., J. S. Popp, B. L. Dixon, and D. J. Newton, 2012, “Factors Influencing Job Choice among Agricultural Economics Professionals,” Journal of Agricultural and Applied Economics, 44(2): 251-265.

Meer, J. and J. West, 2013, “Effects of the Minimum Wage on Employment Dynamics,” Journal of Human Resources, 51(2): 500-522.

Oyer, P. and S. Schaefer, 2010, “Personnel Economics: Hiring and Incentives,” National Bureau of Economic Research, No. w15977.

The Ministry of Agriculture Food and Rural Affairs (MAFRA), 2015, Online Policy Forum. On Agricultural Education, http://mafra.go.kr/list.jsp?id=31472&NOW_YEAR=2015&pageNo=1&group_id=3&menu_id=12 3&link_menu_id=&division=B&board_kind=C&board_skin_id=C2&parent_code=3&link_url=&d epth=1&code=top&link_target_yn=&menu_introduction=&menu_name=&popup_yn=&referen ce=&tab_yn=N.

Results

Result for 2018

Model Choice Experiment(CE) Model

The model that we use for analysis is mixed-logit model which is on the basis of CE model. CE model is one of the Stated Preference model which is survey method measuring people’s preference based on decision-making in hypothetical choice situation. It construct virtual candidates and conduct experiments on who are chosen for each company.

CE model is also based on random utility theory as formula (1). If company choose only one candidate to get biggest utility among some candidates, the model is as formula (2). If we assume that the model has closed form for Maximum Likelihood Estimation(MLE), then it requires simulation procedure such as (3).

(1) 𝑈𝑖𝐴 = 𝑉𝑖𝐴 + 𝜀𝑖𝐴

𝑈𝑖𝐴: utility obtained by choosing candidate A for company i

𝑉𝑖𝐴: indirect utility obtained by choosing candidate A for company i

𝜀𝑖𝐴: error-term

(2) P𝑖(A|D𝑖) = Pr(𝑉𝑖𝐴 + 𝜀𝑖𝐴 > 𝑉𝑖B + 𝜀𝑖B)

𝐴, 𝐵: each is a candidate

𝐷𝑖 : set of direct utility obtained by choosing each candidate for company i

𝜀𝑖𝐴, 𝜀𝑖𝐵: error-term

(3) 𝑆𝐿𝐿 = σ𝑖=1 𝑛 σ𝐴=1

𝛼 d𝑖𝐴 𝑙𝑛(P𝑖𝐴)

𝑑𝑖𝐴: binomial variable that whether the company i choose the candidate A

𝑛: the number of respondents

α: the number of alternatives

On the basis of these model, the mixed-logit model what we use for analysis is as follows.

(4) 𝑈𝑖𝐴 = ASC + 𝛽1𝑚𝑎𝑗𝑜𝑟𝑖𝐴 + 𝛽2𝑎𝑔𝑟𝑖𝑢𝑛𝑑𝑒𝑟𝑠𝑡𝑑𝑖𝐴 + 𝛽3𝑜𝑡ℎ𝑒𝑟𝑚𝑎𝑗𝑜𝑟𝑖𝐴 + 𝛽4𝑔𝑟𝑎𝑑𝑒𝑖𝐴 + 𝛽5𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑖𝐴 + 𝛽6𝑙𝑖𝑐𝑖𝐴 + 𝛽7𝑎𝑐𝑡𝑖𝐴 + 𝛽8𝑔𝑟𝑜𝑢𝑝𝑖𝐴 + φ1 ∗ ASC ∗ 𝑠𝑎𝑙𝑒𝑠𝑖 + φ2 ∗ ASC ∗ 𝑝𝑎𝑦𝑖 + 𝜀𝑖𝐴

Level 1 variable(candidate level)

𝑚𝑎𝑗𝑜𝑟𝑖𝐴: major in agriculture of candidate A

𝑔𝑟𝑎𝑑𝑒𝑖𝐴: GPA of candidate A

𝑙𝑖𝑐𝑖𝐴: any license of candidate A

𝑎𝑐𝑡𝑖𝐴: activities of candidate A

𝑔𝑟𝑜𝑢𝑝𝑖𝐴: organizational Loyalty of candidate A

𝑙𝑎𝑛𝑔𝑢𝑎𝑔𝑒𝑖𝐴: foreign language score of candidate A

𝑜𝑡ℎ𝑒𝑟𝑚𝑎𝑗𝑜𝑟𝑖𝐴: understanding of candidate A for other major

𝑎𝑔𝑟𝑖𝑢𝑛𝑑𝑒𝑟𝑠𝑡𝑑𝑖𝐴: candidate A’s understanding of agricultural industry

Level 2 variable(company level)

𝑠𝑎𝑙𝑒𝑠𝑖 : annual sales of company i

𝑝𝑎𝑦𝑖 : new employee salary of company i

2018

Removed profile Statistic Significance level IIA Asummptions

A 11.18 0.26 accept

B 15.99 0.067 reject

C 108.00 0.00 reject

2019

Removed profile Statistic Significance level IIA Asummptions

A 311.16 0.0000 reject

B 9.07 0.4311 accept

C 2.23 0.9731 accept

Table 2. HM test result

Data We construct 12 profiles and divide them into two sub-groups with 6 profiles through block design. As for attributes, we consider 8 factors as follows: 1) major in agriculture, 2) the degree of understanding on agriculture, 3) understanding on other major, 4) grade point average (GPA), 5) language grades, 6) certificates, 7) external activities, and 8) internship experience. The survey is conducted for personnel managers of agriculture and food companies.

Selection Criteria

Attribute Attribute level

Agriculture expertise

Major in Agriculture O X

understanding of agricultural industry

high middle low

Understanding other major

high middle low

Agriculture expertise

grade(Percentile) A(~30%) B(31%~70%) C(71%~100%)

Language(TOEIC) 850~990 750~850 650~750

license O X

activities O X

Personal value

Values Personal capacity organizational Loyalty

Table 1. Levels by applicant attribute

Variable

2018

Average estimate

Standard Deviation Estimate

Major in Agriculture major 1.2918 *** (0.2144)

1.8421 *** (0.2259)

understanding of agricultural industry

agriunderstd 0.9553 *** (0.1318)

-0.1376 (0.1159)

Understanding other major

othermajor 0.1448 (0.0901)

0.2486 * (0.1358)

grade(Percentile) grade -0.0293 (0.1200)

0.7357 *** (0.1228)

language(TOEIC) language -0.3646 *** (0.1072)

-0.2434 ** (0.1059)

license lic 0.4741 *** (0.1341)

0.2404 (0.2743)

activities act 0.6144 *** (0.1359)

0.1728 (0.1951)

Values group 0.7349 *** (0.2002)

1.9973 *** (0.2358)

Log Likelihood -710.4940

Likelihood Ratio 212.49 ***

a) *** P<0.01, ** P<0.05, * P<0.1 b) Numbers in brackets indicate standard errors.

Variable

2019

Average estimate

Standard Deviation Estimate

Major in Agriculture major 0.7010 *** (01570)

1.2223 *** (0.2058)

understanding of agricultural industry

agriunderstd 0.5617 *** (0.1419)

0.4168 * (0.2277)

Understanding other major

othermajor 0.2634 *** (0.0965)

0.3745 ** (0.1884)

grade(Percentile) grade 0.1253 (0.1112)

0.4873 *** (0.1094)

language(TOEIC) language -0.1045 (0.1124)

0.5976 *** (0.1491)

license lic 0.4637 *** (0.1479)

0.7439 ** (0.2915)

activities act 0.5851 *** (0.1414)

-0.3440 (0.2391)

Values group 0.4869 ** (0.2130)

2.1504 *** (0.2542)

Annual sales sales -0.0947 ** (0.0434)

New employee salary pay 0.1463 * (0.0807)

The effect of increase Minimum wage

effect 0.3256 * (0.1898)

Log Likelihood -726.2681

Likelihood Ratio 255.01 ***

a) *** P<0.01, ** P<0.05, * P<0.1 b) Numbers in brackets indicate standard errors.

Result for 2019

First of all, The effect of the minimum wage was found to be significant. 1% significance level, and the mean estimate was 0.3256.

__MACOSX/bibliography/._research_poster.pdf

bibliography/M Jung PhD Thesis.pdf

The Impact of the Minimum Wage on Older

Workers in South Korea

Min-a Jung

PhD Thesis

Department of Sociological Studies

The University of Sheffield

September 2019

Abstract

The purpose of this thesis is to explore the effects of the minimum wage on older

workers in South Korea and seek a better understanding of the effects in the context of

the minimum wage policy process. Using the KLIPS 2004-2013, this study examines

the effects of the minimum wage on the distributions of wages and family earnings,

employment, and exits from in-work poverty among older employees aged 55 or over.

Two government periods with the highest rates of increase in the minimum wage and

the lowest rates of increase were compared. The results show that the minimum wage

during the period with the highest growth rates raised wages, marginally reducing the

wage gap, but had insignificant effects on the distribution of family earnings and the

odds of individuals’ exits from in-work poverty. For the period with the lowest growth

rates, the minimum wage slightly improved the median of wages and of family

earnings, marginally reducing the wage gap, but decreased the chance to exit from in-

work poverty. An adverse employment effect was not found for both periods. This thesis

proposed a political economy framework and analysed the Minimum Wage Council’s

annual reports on the fixing process 2003-2012. The findings show that the effects for

the period with the highest growth rates were associated with the role of the minimum

wage preserving the monthly pay as a result of the reduction of working hours and the

exemption of and the subminimum for surveillance or intermittent work. The effects for

the period with the lowest growth rates were related to the minimum wage increases

slightly higher than annual pay awards, its role of preserving monthly pay consequent

upon the reduction of working hours, and the subminimum for surveillance or

intermittent work.

i

Table of Contents

Chapter One Introduction 1

Chapter Two The Minimum Wage 17

Chapter Three Older Workers in the Labour Market 35

Chapter Four Older Workers: Labour Market Status and Minimum Wages 53

Chapter Five Theoretical Framework and Research Methods 96

Chapter Six The Factual Context for the Case Study of South Korea 148

Chapter Seven The Effects of the Minimum Wage on Older Workers in South Korea 177

Chapter Eight Political Economy of the Impact of Minimum Wages 211

Chapter Nine Conclusion 258

Appendix 270

Bibliography 288

ii

List of Tables

Table 1.1 The Proportion of Employers and Workers Participating in

Workplace Pension Schemes in South Korea, 2015-2016 (%) ................... 7

Table 2.1 Minimum Wage Fixing Procedures among OECD Countries ........ 23

Table 2.2 Minimum Wage Fixing Criteria among OECD Countries ............. 27

Table 3.1 Part Time Employees Aged 55-64 and 65+ by Country in 2011 .... 44

Table 3.2 Temporary Employees Aged 55-64 and 65+ by Country in 2011 ... 46

Table 4.1 Pension Ages and Financial Work Incentives/Retirement Disincentives by Type of Scheme in OECD Countries ............................ 68

Table 4.2 Limits to Combining Work and Pensions ...................................... 71

Table 4.3 Studies of Minimum Wage Effects and Older Workers .................. 84

Table 6.1 Changes in Minimum Wage Rates in South Korea (KRW/GBP/USD; %; thousand persons) .............................................. 151

Table 6.2 Empirical Studies about the Effects of the Minimum Wage in South Korea.................................................................................................... 166

Table 7.1 Characteristics of 55+ Employees, 2004-2013 ............................ 179

Table 7.2 Estimated Models for Changes in the Percentiles of Log Hourly Wages among 55+ Employees, 2004-2008 and 2009-2013.................... 186

Table 7.3 Estimated Models for Changes in Employment & Unemployment among 55+ Employees, 2004-2008 and 2009-2013 ............................... 191

Table 7.4 Descriptive Statistics of 55+ Employees by Covariates, 2004-2008 & 2009-2013 ........................................................................................ 193

Table 7.5 Estimated Fixed-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013 .............. 195

Table 7.6 Estimated Random-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013 .............. 196

Table 7.7 Estimated Models for Changes in the Percentiles of Log Family Earnings among 55+ Employees, 2004-2008 and 2009-2013 ................ 200

Table 7.8 Descriptive Statistics of 55+ Working Poor by Covariates, 2004-

iii

2008 & 2009-2013................................................................................ 204

Table 7.9 Estimated Fixed-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013 .................. 206

Table 7.10 Estimated Random-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013 .................. 207

List of Figures

Figure 1.1 Average Normal and Effective Retirement Age in OECD Countries

by Sex, 1970-2015 .................................................................................... 1

Figure 1.2 Average Age of Retirement from Lifetime Main Job in South Korea, 2005-2017 ..................................................................................... 4

Figure 1.3 Effective Age of Labour Market Exit and Normal Pensionable Age in South Korea ......................................................................................... 5

Figure 1.4 The Share of Beneficiaries of the National Pension among Those Aged 60+ in South Korea (%) .................................................................. 6

Figure 1.5 Income Sources of Older People Aged 60+ in South Korea (%) .... 8

Figure 3.1 Labour Force Participation Rates by Age Group in OECD Countries, 1970-2011 (%) ....................................................................... 37

Figure 3.2 Labour Force Participation Rates of Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%) ..................................... 37

Figure 3.3 Labour Force Participation Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%) ........................................................... 38

Figure 3.4 Employment Rates by Age Group in OECD Countries, 1970-2011 (%) ......................................................................................................... 40

Figure 3.5 Employment Rates of Older Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%) ............................................ 40

Figure 3.6 Employment Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%) ....................................................................... 41

Figure 3.7 Incidence of Part Time Employment by Age Group in OECD Countries, 2000-2011 (%) ....................................................................... 42

iv

Figure 3.8 Incidence of Part Time Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%) .............................. 43

Figure 3.9 Incidence of Temporary Employment by Age Group in OECD Countries, 2000-2011 (%) ....................................................................... 45

Figure 3.10 Incidence of Temporary Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%) .............................. 45

Figure 3.11 Sectoral Empolyment Structure by Sector and Age Group in EU 25, 2011 (%) ........................................................................................... 47

Figure 3.12 Annual Employment Growth by Sector and Age Group in EU 25, 2008-2011 .............................................................................................. 48

Figure 3.13 Proportion of Low-Wage Earners by Age Group in EU Countries, 2010 (%)................................................................................................. 49

Figure 3.14 Changes in Proportion of Low-Wage Earners Aged 50+ in EU Countries, 2006-2010 (%) ....................................................................... 50

Figure 3.15 Gender Pay Gap among Older Workers Aged 55-64 and 65+ in EU Countries, 2010 (%).......................................................................... 51

Figure 4.1 Factors Influencing Labour Market Status of Older Workers ....... 59

Figure 6.1 Process of Minimum Wage Deliberation and Determination in South Korea .......................................................................................... 150

Figure 6.2 Growth in Minimum Wage, Annual Inflation (CPI) & GDP per Capita, and Minimum Wage Relative to Average Wage of Full-Time Workers in South Korea, 1988-2013 (%) .............................................. 152

Figure 6.3 The Share of Employees Paid Less than the Minimum Wage in South Korea, 2001-2013 (%) ................................................................ 153

Figure 6.4 Changes in Labour force Participation, Employment and Unemployment among Workers Aged 50 + in South Korea, 2000-2014 (%) ............................................................................................................. 155

Figure 6.5 Changes in the Growth Rate in Population, Labour force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)...................................................................................... 156

Figure 6.6 Changes in Employment Status of Workers Aged 50+ in South Korea, 2007-2013 (%) .......................................................................... 157

Figure 6.7 Changes in Industrial Composition among Workers Aged 55-79 in

v

South Korea, 2005-2014 (%) ................................................................ 158

Figure 6.8 Changes in Occupational Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%) ............................................................ 159

Figure 6.9 Changes in the Ratios of Monthly Wage & Hourly Wage among Employees 50+ to among Those Aged 30-49 and Weerkly Hours Worked by Age Group in South Korea (%, hrs) ................................................. 160

Figure 6.10 Changes in the Proportion of Older Employees Earning Less Than 50% of the Median Wage in South Korea (%) ....................................... 161

Figure 7.1 Wage Distribution of 55+ Employees, 2004-2008 and 2009-2013 ............................................................................................................. 181

Figure 7.2 Distribution of Monthly Family Earnings among 55+ Employees, 2004-2008 and 2009-2013 .................................................................... 198

1

Chapter One Introduction

Overview of Topic

The era when early retirement was a norm in the workplace, in which retirees rarely

returned to the labour market and few workers were likely to be paid at or near a

minimum wage, disappeared almost twenty years ago (Fang and Gunderson, 2009). The

labour market exit age, which had dropped sharply mainly due to the maturing of

pension systems and early retirement schemes, has been gradually increasing since the

early 2000s, following the rise in the normal pensionable age (OECD, 2017, pp.48-49;

Figure 1.1). As the life after retirement was no longer being supported by pension plans

as before, the labour force participation of older workers and their employment have

increased since the mid-1990s, and a growing number of older workers have been

engaged in low paid jobs (see Chapter Three).

Figure 1.1 Average Normal and Effective Retirement Age in OECD Countries by Sex, 1970-2015

Source: OECD, Pension at a Glance 2017, p.49 Note: The normal retirement age refers to the average normal pensionable age; the effective retirement age is defined as the average labour market exit age which is estimated by OECD from observed changes in participation rates over a five-year period for successive cohorts of workers (by five-year age groups) aged 40 and over. For the effective retirement age, each indicated year points to the end year of each five-year period.

60 61 62 63 64 65 66 67 68 69 70

1971 1976 1981 1986 1991 1996 2001 2006 2011

Ag e

1971 1983 1989 1993 1999 2002 2010 2014 Normal 63.9 63.2 62.8 62.5 62.6 62.7 63.0 63.9

Effective 68.5 65.2 64.3 63.9 63.3 63.2 63.9 64.6

MEN

58

60

62

64

66

68

70

1971 1976 1981 1986 1991 1996 2001 2006 2011

Ag e

1971 1983 1989 1993 1999 2002 2010 2014 Normal 62.1 61.7 61.1 61.1 61.2 61.4 61.9 63.0

Effective 66.2 63.4 62.6 62.1 61.1 61.2 62.6 63.2

WOMEN

2

Along with the changes in older workers’ economic activity, research about their status

in the labour market has developed from pension-focused research on retirement to

multiple factors studies on retirement and further to studies on employment and age

discrimination in the labour market. However, despite a large amount of research with

regard to the status of older workers in the labour market, little attention has been paid

to the issue of their earned income. Considering the fact that financial need is one of the

most decisive factors for workers to remain in employment in their later life, the issue

of earned income among older workers is of importance. Further, the tendency among a

growing number of older workers to be hired in low paid jobs arouses interest in the

influence on older workers of policies for the low paid.

The minimum wage is the most popular policy for low paid workers, but its efficacy is

controversial. Twenty six out of 34 OECD countries have statutory minimum wages in

place, and in the eight OECD countries that do not have a statutory minimum wage, a

large portion of the workforce is covered by the wage floors specified by sector-level

collective agreements (OECD, 2015, p.1). Despite its prevalence, the effects of the

minimum wage have been very debatable, particularly in terms of employment and in-

work poverty. This has relevance mainly to two points. One is that the research on the

minimum wage has been focused mainly on younger workers who were regarded as the

group most affected by an increase in the minimum wage. The other is that the effects of

the minimum wage have been explained almost exclusively by economic theories of the

labour market. The first point implies that workers in other vulnerable groups, such as

women, disabled workers and older workers, were relatively less explored in the field.

In fact, Fang and Gunderson’s work (2009) on the minimum wage effects on older

workers’ employment is the only study focusing on this group. Based on studies that

have devoted attention mainly to younger workers, a common argument is that the

minimum wage is not a useful tool to improve household incomes among low paid

families and to enable the working poor to exit from poverty because ‘most of the

benefits of minimum wage increases goes to second or third earners living in

households well above the poverty line’ (Sabia and Burkhauser, 2010, p.595).1

However, in as much as workers in the groups less focused on by the research on the

minimum wage are more likely to be the primary or indispensable secondary earners in

their households, the argument should be examined further through research into other

vulnerable groups affected by the minimum wage. The second point, the dominance of

3

economic theory in this research field provides limited explanations of the conflicting

empirical evidence, particularly of employment effects of the minimum wage.

Considering that the minimum wage is a public policy in which conflicting interests

among major groups of society, such as government, employers and employees, are

involved and which is made through a political process, an alternative explanation

involving both economic and political features of minimum wage policy is needed for

fuller and contextual accounts of the minimum wage effects.

In recognition of problems presented above, this thesis mainly aims to explore the

effects of the minimum wage on older workers in the context of South Korea. Korea is

one of the countries where the population is the most rapidly ageing due to the

decreasing fertility rate and the increasing life expectancy. As the share of those aged 65

years and older was 14.02 per cent in August, 2017, Korea has become an ‘aged society’

17 years after it entered the ‘ageing society’ group in 2000 (Kim, S-M and Chang, H-T,

2017). According to the National Statistical Office of Korea [통계청] (2017, p.15), the

share is projected to be 41.0 per cent in 2060. The gender ratio is 57.5 per cent for

women and 42.5 per cent for men in 2007; however, the gap in the ratio is projected to

decline to 4.6 per cent by 2060 (The National Statistical Office of Korea [통계청], 2017,

p.16). Life expectancy at birth increased from 51.1 years in 1960 to 76.2 years in 2010

for men and from 53.7 to 82.9 years for women, and it is expected to be 82.9 for men

and 88.9 for women in 2050 (Choi, S-J, 2015, p.58).

Despite the significant increase in life expectancy, the actual age at which workers retire

from their lifetime main jobs is very low. The survey which was conducted in 2001 by

the Ministry of Labour [노동부] among firms with 300 plus employees showed that the

prevalent retirement age was 55 and the average was 56.7 years (Phang, H-N, 2011,

p.57). According to Supplementary Results (for the Old Population) of the

Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], the

actual age of retirement from lifetime main jobs among those aged between 55 and 64

was 52.2 in 2005, 51.5 in 2011 and 51.4 in 2017 for men and 48.1, 47.2 and 47.1 for

women, respectively (Figure 1.2). This is because mandatory retirement has been very

prevalently practiced among firms in Korea and the regulated retirement age,

particularly in the private sector, has often been set at a very low age ranged from 55 to

60 (Phang, H-N, 2011; Choi, S-J, 2015), relying on the absence of ‘law which governs

4

mandatory retirement age, except for the public sector’ (Choi, S-J, 2015, p.60). Very

recently, the mandatory retirement age should be set at the age of 60 years or over under

the Act on Prohibition of Age Discrimination in Employment and Elderly Employment

Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률], which has been

applied to firms with 300 employees and over and public organisations from 2016 and

to firms with less than 300 workers and state agencies and local governments from 2017

(The Ministry of Employment and Labor [고용노동부], 2016).

Figure 1.2 Average Age of Retirement from Lifetime Main Job in South Korea, 2005- 2017

Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey (every May in each year) [경제활동인구조사 (고령층) 부가조사 (각 연 도 5월)] Note: The average age of retirement from lifetime main job refers to the average age at which those aged between 55 and 64 retired or tranferred from their lifetime major jobs.

The actual age of retirement from a lifetime main job is well below the pensionable age

and effective age of exit from the labour market in Korea. As shown in Figure 1.3, the

normal pensionable age was originally set at 60 years for both men and women but has

been increasing by one year per five-year term from 2013 to 2033 under the National

Pension (Amendment) Act 2011 [국민연금법], reaching 61 between 2013 and 2017, 62

between 2018 and 2022, 63 between 2023 and 2027, 64 between 2028 and 2032 and 65

by 2033. The average effective age of exit from the labour market was 70.3 for men and

69.8 for women for the period of 2004-2009, increased to 72.9 and 70.6 respectively

over the period 2009-2014 and led to 72.0 and 72.2 for each over the period 2011-2016.

These facts suggest that Korean older people are likely to experience financial

difficulties and tend to remain at the workforce almost 20 years longer after retiring

from their lifetime main jobs. In terms of the labour force participation, ‘the old-age

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Total 50.0 50.3 49.6 49.6 49.5 49.3 49.2 49.3 49.4 49.4 49.0 49.0 49.1 Men 52.2 52.4 51.9 52.0 51.8 51.6 51.5 51.5 51.4 51.6 51.5 51.5 51.4 Women 48.1 48.3 47.5 47.4 47.4 47.2 47.2 47.4 47.6 47.4 46.9 47.0 47.1

44 45 46 47 48 49 50 51 52 53

Ag e

5

participation rates for both Korean men and women are slightly or considerably higher

than the average rate of OECD or European Union countries’ (Phang, H-N, 2011, p.55).

Such high participation and employment rates among the old age were due to retirees’

self-employment and those engaged in the agricultural and fishery industry; however,

the numbers of both have considerably decreased since the middle of the millennium

whereas the number of wage workers, particularly engaged in low paid jobs, has

significantly increased among older people (see Chapter Six).

Figure 1.3 Effective Age of Labour Market Exit and Normal Pensionable Age in South Korea

Source: OECD, Society at a Glance 2009 for the average effective age of labour market exit over the period 2002- 2007; OECD, Pension at a Glance 2011, 2013, 2015 & 2017 for the average effective ages over the period 2004- 2009, 2007-2012, 2009-2014 and 2011-2016, respectively; Article 21 of the supplementary provisions of the National Pension (Amendment) Act 2011 [국민연금법 부칙 21조] for normal pensionable ages Note: The average effective age of labour market exit was estimated by OECD from observed changes in participation rates over a five-year period for successive cohorts of workers (by five-year age groups) aged 40 and over.

Meanwhile, retirement income provisions have been long underdeveloped. As seen in

Figure 1.4, the state pension which was introduced in 1988 covered only 30.4 per cent

of those aged 60 years and over in 2008 and 40.9 per cent in 2016. Especially among

women, the share of the state pension beneficiaries has been much lower, staying at less

than 30 per cent until 2016. This low share among women can be understood mainly as

attributable to the fact that they have been more likely to be engaged in low-wage,

irregular jobs in which employers have not provided the four major public insurances,

including the National Pension, the National Health Insurance, Employment Insurance

and Industrial Accident Compensation Insurance and less likely to maintain their

subscription to the pension stable due to career discontinuity which is involved in

childbirth and child-rearing plus employment instability.

2002- 2007

2004- 2009

2007- 2012

2009- 2014

2011- 2016

1988- 2012

2013- 2017

2018- 2022

2023- 2027

2028- 2032 2033 +

Effective Age of Labour Market Exit Normal Pensionable Age Men 71.2 70.3 71.1 72.9 72.0 60 61 62 63 64 65 Women 67.9 69.8 69.8 70.6 72.2 60 61 62 63 64 65

0 10 20 30 40 50 60 70 80

Ag e

6

Figure 1.4 The Share of Beneficiaries of the National Pension among Those Aged 60+ in South Korea (%)

Source: The National Pension Service, National Pension Statistical Yearbook (each year) [국민연금통계연보 (각 연도)]for the number of beneficiaries of the National Pension; The National Statistical Office of Korea, Population Projections for Korea [장래추계인구]for the projected number of people aged 60+ Note: The share of beneficiaries was calculated by (the number of beneficiaries among those aged 60+/ the projected number of people aged 60+)*100 in each year.

Retirement allowance ‘which was introduced in 1953 under labour legislation’ and ‘has

provided retiring employees with an immediate lump-sum cash payment’ has played a

critical role of old-age income security (Klassen and Yang, 2010, pp.7-8). The

retirement allowance has typically become either ‘start-up capital’ for being self-

employed or ‘a financial cushion for the transition from the primary to invariably

precarious, secondary labour market’ (Klassen and Yang, 2010, p.8). But, as the idea of

‘a lifelong workplace’ which had been prevalent in Korea has disappeared under the

influence of labour market flexibilization and the bank interest rates has considerably

fallen with the financial reforms since the late 1990s, the retirement allowance has not

amounted as much as before. Since 2005, employers can replace the retirement

allowance with a workplace pension scheme under the Employee Retirement Benefit

Security Act [근로자퇴직급여보장법]. Table 1.1 shows the proportions of employers

and workers who participated in workplace pension schemes in 2015 and 2016. By

2016, only 10.9 per cent of employers with less than 5 employees and 40.3 per cent of

those with 5-29 employees instituted a company pension scheme while employers with

less than 30 employees comprised 93.6 per cent of the targeted establishments. For

workers, half of all those eligible were enrolled in a company pension scheme by 2016;

however, the enrolment decreased with age among those aged 50 years and over, and

there was a sizeable gap between men and women, except among those aged 60 years

and over.

2004 2008 2012 2013 2014 2015 2016 Total 20.8 30.4 37.1 37.7 37.9 39.2 40.9 Men 32.5 45.2 53.3 53.4 53.0 54.0 55.5 Women 12.3 19.2 24.6 25.5 26.1 27.6 29.2

0

10

20

30

40

50

60

7

Table 1.1 The Proportion of Employers and Workers Participating in Workplace Pension Schemes in South Korea, 2015-2016 (%)

Employers Workers

Size Participating Targeted

Age Total Men Women

2015 2016 2015 2016 2015 2016 2015 2016 2015 2016

Total 25.6 26.9 100.0 100.0 All ages 47.9 50.0 50.2 52.2 44.3 46.6

Less than 5 9.7 10.9 52.0 53.6 50 - 54 46.0 48.6 48.8 51.6 41.8 44.0

5 - 29 37.5 40.3 41.3 40.0 55 - 59 40.0 42.8 41.2 44.2 38.1 40.6

30-299 74.5 76.6 6.3 6.0 60 - 64 31.4 33.6 30.7 33.0 32.7 34.6

300 and over 88.2 88.1 0.4 0.4 65+ 22.1 25.9 23.3 25.9 19.6 25.7

Source: The National Statistical Office of Korea, (2017). Retirement Pension Statistics in 2016 [2016년 기준 퇴직 연금통계]

Along with the state pension, retirement allowance and workplace pensions, personal

pensions had begun in 1994 in Korea. But they tend to be regarded as a financial

product for preparation for retirement rather than as an old age social security system,

and in this regard, individuals show a propensity to join several insurance plans and not

to stay with them (Jeong, W-S, Kang, S-H and Lee, S-W, 2014, p.18).

These public transfers and private pensions account for less than 30 per cent of the total

income for Koreans aged 60 years and over (Figure 1.5). The rest mainly comes from

individuals’ own work and support from family and relatives; however, as shown in

Figure 1.5, the latter has been gradually eroded whereas the former has stayed above 50

per cent. The weakened family support is attributed to increase in women’s participation

in the labour market (Klassen and Yang, 2010), to fewer resources available as a result

of fewer children (Phang, H-N, 2011) and, most of all, to the change in both children’s

and old ages’ ideas and values relating to caring for the aged. This suggests the

importance of income from older people’s own work in Korea, despite the ongoing

development of the pension system.

Responding to the needs of work among older people and the expected increase in

social expenditures as a result of the population ageing, the Korean government has

developed a variety of measures to promote older workers’ employment, including

‘salary peak system’ in which employers cut salaries of their employees being a certain

age but, instead, ensure the employees’ employment until normal retirement age and

subsidies to employers who hire and retain older workers. ‘There are four types of

8

Figure 1.5 Income Sources of Older People Aged 60+ in South Korea (%)

Source: The National Statistical Office of Korea, Social Survey, every other year [사회조사, (각 조사 연도)] Note: Income from work includes earnings and income from business; income from assets includes profits from interests, dividends and real estates; pensions refers to both public and private ones; and welfare refers to resource- tested benefits and support from government or social groups.

subsidies under the Employment Insurance System [고용보험제도] which was

introduced 1995: subsidy to promote over-quota (6%) employment of older workers,

subsidy to promote newly employing older workers, subsidy to promote extended

employment of retiring workers and subsidy to promote older workers upon completion

of subsidised job training’ (The Ministry of Labor [노동부], 2009, quoted in Phang, H-

N, 2011, p.59). These can be promptly effective measures to improve employment

among older workers; however, they include, arguably, the nature of age discrimination

against older workers in terms of wages, or could make their target population more

vulnerable in employment in the long term unless they run parallel with a measure to

change employers’ perceptions of older workers, which seem to be more critical in as

much as the rates of employers taking up the government employment measures for

older workers are very low, and further, the main reason not to take up the ‘salary peak

system’ is the recent increase of the mandatory retirement age to 60 under the

amendment of the Act on Prohibition of Age Discrimination in Employment and Elderly

Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률]

(Jung, S-Y, 2016).

The policy practices presented above shows that Korean government’s approaches to

the improvement of older workers’ status in the labour market have ruled out the

consideration of their wages, focusing on their employment or tends to have reflected

2009 2011 2013 2015 2017 Welfare 8.6 7.7 7.6 10.4 9.9 Family & Relatives 31.4 32.0 28.8 23.0 20.2 Installment Savings 6.1 9.1 9.9 6.3 7.3 Pensions & Retirement Allowances 24.5 27.6 24.9 27.6 28.1 Assets 13.3 12.4 12.2 11.7 10.3 Work 56.2 50.9 53.1 54.4 54.2

0% 10% 20% 30% 40% 50% 60% 70% 80% 90%

100%

9

employers’ perceptions of older workers and wider ‘age culture’ which is ‘the shorthand

description of social norms, values, ideals or perceptions in society that structure the

ideas of the age-work relationships’ (De Vroom, 2004, p.8) as the salary peak system

shows. But, allowing for the available income sources in old ages described above,

financial needs are likely to be a main driver for Korean older workers to remain longer

at the workforce; however, as the labour market has been dramatically changed since

the IMF bailout in 1998, and as a result, insecure, low paid jobs have exploded

throughout the first decade of the millennium, older workers have been more likely to

be engaged in low paid jobs due to their vulnerability in the labour market. This

disparity between their financial needs for work and status in the labour market,

particularly in terms of wages, have rarely been considered or not well addressed in the

context of a more common public policy practice for the improvement of wages among

vulnerable groups of workers.

The minimum wage is a typical wage-governing public policy for low pay workers in

Korea as in many other countries. The Minimum Wage Act was enforced in 1988 along

with the massive eruption of the labour union movement in the late 1980s (Yun, A-L,

2014). The minimum wage has been applied to all employers with one employee or

more since 2000, with the exception of domestic workers, seamen and those with a very

limited working capacity due to their physical and mental disabilities and has begun to

get attention from trade unions and the general public in the early 2000s. A

subminimum for older workers have been discussed within the Minimum Wage

Commission in the late 2000s, with the concern of likely disemployment among them.

However, the discussion was not based on any evidence of the minimum wage effects

on older workers, and the consideration of a subminimum for the group of workers was

finally discarded for the reason that it would be against the Act on Prohibition of Age

Discrimination in Employment and Elderly Employment Promotion [고용상 연령차별

금지 및 고령자고용촉진에 관한 법률]. The tendency that minimum wage discussion

has not been founded on research evidence, especially with regard to older workers, is

partly because research on the minimum wage in Korea has paid less attention to older

workers than other groups.

Based on these circumstances surrounding older workers presented so far, this thesis

explores the effects of the minimum wage on older workers in South Korea. How

10

minimum wages affect the distributions of wages and family incomes, employment, and

the exit from poverty among older workers are examined through a comparison between

two consecutive government periods which have a large gap in the rates of increase in

the minimum wage. The comparison is to figure out whether the differences in the rate

of increase in the minimum wage lead to different effects of the minimum wage among

older workers, on the one hand and to verify the relevance of theoretical explanations

for the effects, on the other hand. This thesis also aims to construct an alternative

theoretical explanation for the effects of minimum wages which takes account of both

economic and political attributes of the minimum wage as a public policy. Based on the

alternative theoretical framework, the empirical results of the minimum wage effects on

older workers will be further discussed, which involves a qualitative analysis of the

minimum wage fixing process.

Research Questions

Three closely related questions are addressed in this thesis. First, how the minimum

wage affects the distributions of wages and family earnings, employment and exits from

in-work poverty among older workers. In more detail, this includes how the minimum

wage changes the distributions of wages and family earnings of older workers, whether

increases in the minimum wage reduce older workers’ employment and whether

increases in the minimum wage raise the odds of exit from in-work poverty among

older workers. These questions aim to figure out the overall characteristics of economic

effects of the minimum wage on older workers. Second, whether different rates of

increase in the minimum wage have different effects among older workers. The second

question is to examine variations and uniformity in the effects of the minimum wage

among older workers by comparing two government periods when the minimum wage

was increased at distinctively different levels. This examination has special interests in

the effects on employment and on the exit from in-work poverty. With regard to the

employment effect, Fang and Gunderson (2009) argue that the positive employment

effect for older workers is a typical characteristic of the minimum wage in Canada,

compared to the fickle employment effects for younger workers. This thesis is interested

in whether non-adverse employment effects are more likely among older employees.

Also, it has been widely argued, based mainly on younger workers who are paid a

minimum wage but not the primary earners in their households, that the minimum wage

11

is a blunt tool to help working families in poverty. However, in as much as older

workers are more likely to be the primary earners in their households, whether higher

minimum wages tend to give better chances of leaving poverty than lower ones should

be examined among older employees. Further, this comparison of two government

periods with different rates of increase in the minimum wage is connected to the third

question of exploring the relation between the minimum wage effects on older workers

and the political factors involved. The third question, how the empirical results of the

minimum wage effects on older workers can be understood is to seek an alternative

explanation for the minimum wage effects in which both political and economic

attributes of the minimum wage as a public policy are taken into account. A political

economy theoretical framework for minimum wage effects will be proposed after the

review of the existing explanations; and the empirical results of minimum wage effects

on older workers will be further discussed through a contextual analysis which is

conducted based on the newly suggested theoretical framework.

Contributions

This study could help to fill the gap in the literature with regard to the impact of

minimum wages on older workers. As stated earlier, the subject of this thesis was

motivated by the vacuum in the research on older workers’ earned income. Particularly,

minimum wage research has excluded older workers as a research focus, as Fang and

Gunderson (2009, p.371) stated ‘to my knowledge, there are no studies that focus on the

impact on older workers’. Even after the first and only study, there has been little

subsequent work exploring the effects of the minimum wage focusing on older workers.

Considering the facts that a growing number of older workers have been working in

their later life for financial reasons, the number of older adults living in poverty has

been sharply growing, and the transformed labour market conditions are more likely to

provide low paid jobs to older workers, this study takes a significant step in the research

on low paid older workers’ earnings and, more specifically, in the one on the minimum

wage effects on older workers by extending the research subjects to wages, family

incomes, employments and poverty as well as by adding new empirical evidence.

Moreover, this study is the first try to explore the impact of minimum wages on older

workers in South Korea. Although the effects with regard to older workers have been

partially presented in some studies and a study examined the effect of the minimum

12

wage on labour demand in surveillance or intermittent work in which the majority of

workers were the aged, there are no comprehensive analysis that focused on older

workers. This study could provide a starting point for the study of the minimum wage

effects on older workers in Korea.

This thesis is also likely to broaden and deepen understanding of the minimum wage

effects. One of the main purposes of this research is to explore an alternative

explanatory framework for the minimum wage effects and to conduct a contextual

analysis of the minimum wage fixing process based on the framework for a fuller

understanding of the effects. Economic theories which have been exclusively dominant

in minimum wage research provide limited accounts with regard to some controversial

effects of the minimum wage, despite their strong explanatory power. The alternative

explanatory framework which will be constructed in this thesis as a result of reviewing

existing theories contains political attributes as well as economic ones of the minimum

wage as a public policy, in as much as the framework takes into account the policy

process relating to the minimum wage. The point that the framework is based on

minimum wage policy process indicates that the explanatory framework for the

minimum wage effects newly proposed in this thesis will be universally applicable,

though this study focuses on older workers and the minimum wage fixing process. The

contextual analysis of the minimum wage fixing process based on the theoretical

framework will provide a more concrete understanding of the resulting effects of the

minimum wage. This also calls attention to the importance of using both quantitative

and qualitative research methods in research field of the minimum wage.

Further, this study would provide important implications for minimum wage policy,

particularly with regard to the target groups of the policy. A growing number of older

workers in many countries are expected to have been under the influence of the

minimum wage, but they have supposedly been a low concern group in the minimum

wage policy process. This study calls the attention of decision-makers involved in the

minimum wage policy process to the necessity of considering older workers as a

vulnerable group in the labour market who are critically influenced in many ways by

minimum wage policy. Further, the discussion of the empirical results through the

contextual analysis of the minimum wage fixing process provides the decision-makers

with policy implication of how the interaction between the minimum wage and other

13

closely related policies, which is changed typically by a government’s policy orientation

and the dynamics of power among stakeholders, can be related to the minimum wage

effects on a specific target group. This is different from the typical emphasis on the

earned income tax credit (EITC) as an alternative measure for the increase in the

minimum wage to boost income among low paid workers.

The Structure of the Thesis

The remaining chapters of the thesis are broadly divided into four parts. The first part is

the basic background literature and data survey of the minimum wage and older workers

in the labour market (Chapter Two and Three). The second part is a comprehensive

review of existing literatures on the status of older workers in the labour market and on

the effects of the minimum wage with regard to older workers (Chapter Four). In the

third part, theoretical perspectives and research methods will be discussed (Chapter

Five). The last part is the Korean case study intended to examine the three main

research questions and a Conclusion (Chapter Six, Seven, Eight and Nine).

Chapter Two looks at the minimum wage systems among the OECD countries. Using

the ILO Working Conditions Laws Database of Minimum Wages, minimum wage fixing

procedures and criteria are analysed to identify the characteristics of the minimum wage

and to narrow down the research focus based on the identified purposes of minimum

wages. Chapter Three surveys the characteristics of older workers in terms of how a

significant proportion of older workers is active in the workforce, what sectors,

occupations and types of contract older workers are in and what their wage levels are.

Chapter Four consists of broadly two parts. In the first part of the chapter, the research

about the status of older workers in the labour market will be reviewed. The main

purpose of this review is to figure out what factors determine the status of older workers

in the labour market. This review shows that little attention has been paid to the issue of

earned income among older workers. For the second part of this chapter, research about

the effects of the minimum wage is reviewed, with a special focus on older workers.

This displays how little attention has been paid to older workers in the field of minimum

wage research.

Chapter Five also consists of broadly two parts. In the first part, a variety of theories of

the minimum wage, such as the neoclassical models, monopsony models, the Keynesian

14

approach and political economy approaches are discussed. This is ultimately for

exploring a plausible theoretical framework to explain the effects of the minimum wage

based on both political and economic attributes of the policy. A political economy

framework for an enhanced understanding of empirical results will be proposed at the

end of the first part. The second part describes research methods, data, and analyses

procedures used for this research. In this part, the necessity to employ a contextual

analysis with qualitative data as a supplementary method for understanding the

minimum wage effects is argued in association with the alternative theoretical

framework sought in the first part of this chapter.

Chapter Six, as the first chapter of the case study of South Korea, provides an overview

of the national minimum wage and the status of older workers in the labour market in

Korea. It includes brief history of the Minimum Wage Act [최저임금법], its current

system and changes in its level and influence and also surveys labour market

participation and employment among those aged 50 years and over, industrial sectors,

occupations and types of employment which they are involved in and their wage levels.

In the final section of this chapter, public debate and empirical studies about the

minimum wage in Korea are reviewed with a special interest in older workers. Chapter

Seven examines the first two research questions, how minimum wages affect the

distributions of wages and family incomes, employment and the exit from poverty

among older workers and whether the effects of the minimum wage on older workers

are differentiated by its level of increase. Using the Korean Labour and Income Panel

Study (KLIPS) [한국노동패널], linear least squares (OLS) and fixed-effects models are

estimated to identify the effects on the distributions of wages and family earnings and to

demonstrate the aggregate employment effect among older workers. Multilevel discrete-

time event history models for competing risks are also used to verify both transitions

from being employed and from being poor while working among older workers caused

by the increase in the minimum wage. All of the employed models compare two periods

of Korean governments, the Roh, Moo-Hyun government (2003-2008) which

maintained the highest rate of increase in the minimum wage, except the government

period in which it was introduced, and the Lee, Myung-Bak government (2008-2013)

which had the lowest rate of increase, in order to evaluate whether the minimum wage

has a typical economic effect on older workers, regardless of its level of increase.

Chapter Eight discusses how the results from the empirical analysis conducted in the

15

previous chapter can be understood with the political economy framework proposed in

Chapter Five. This involves a contextual analysis mainly of the Minimum Wage

Council’s annual report on the minimum wage fixing process. Chapter Nine, the

Conclusion summarises the main findings of this research and briefly reviews

contributions and policy implications, followed by limitations of and reflection on

research methods exploited.

16

Notes

1 As Sabia (2010, p.593) summarised, there are two main explanations with regard to the minimum wage increases ‘providing little more than symbolic support’ to the working poor. Stigler, G. (1946, The economics of minimum wage legislation, American Economic Review, 36, 358-365), Burkhauser, R.V., Couch, K.A. and Glenn, A.J. (1996, Public policies for the working poor: The earned income tax credit versus minimum wage legislation, Research in Labour Economics, 15, 65-109), and Burkhauser, R.V. and Sabia, J.J. (2007, The effectiveness of minimum wage increases in reducing poverty: Past, present, and future, Contemporary Economic Policy, 25(2), 262-281) argue that ‘the relationship between earning a low hourly wage rate and living in poverty is weak and has become weaker over time’ (Sabia, 2010, p.593). Neumark and Wascher (2002, Do minimum wages fight poverty? Economic Inquiry, 40(3), 315–33), Neumark, Schweitzer, and Wascher (2004, Minimum wage effects throughout the wage distribution, Journal of Human Resources, 39(2), 425–50; 2005), and Sabia (2008, Minimum wages and the economic wellbeing of single mothers, Journal of Policy Analysis and Management, 27, 848–66) contend that while some families of low-skilled workers in employment will be out of poverty by an increase of the minimum wage, other low-skilled workers will lose their jobs or have their hours cut, leading to reduction in their income and fall their families into poverty (Sabia, 2010, p.593).

17

Chapter Two The Minimum Wage

Introduction

The idea of a minimum wage was created in the late nineteenth century for the purpose

of alleviating the conditions of “sweated labour” working for very low wages

(Cunningham, 2007; Neumark and Wascher, 2008)1. It can be defined currently as the

wage floor ensuring by law or by collective bargaining that wage earners receive at least

a minimum of pay protection. The International Labour Organization (ILO) has

provided a definition of minimum wages in the same vein:

the lowest level of remuneration permitted … which in each country has the force

of law and which is enforceable under threat of penal or other appropriate sanctions.

Minimum wages fixed by collective agreements made binding by public authorities

are included in this definition (The ILO Committee on Employment and Social

Policy, 2009, p.2)2.

Minimum wages, which are used as a major labour market instrument by the majority of

countries the world over, present the main idea of the definition provided by the ILO

whether or not they have ratified the ILO’s Conventions on minimum wage fixing

procedures.3

In principle, the minimum wage is a very clear social policy intended to meet the

demands of social justice for low paid workers. However, in reality, things are much

more complicated as a variety of legislative texts and practices exist country by country.

The current expansion from minimum wages to a living wage in debates or in practice

not only reflects the complexities of minimum wages in effect but also adds to them.

Those complexities lead to difficulties in generalising about the issues of the minimum

wage, such as its employment effect, its efficacy as a tool of poverty reduction and its

effectiveness for protecting wages and reducing inequalities. A plausible starting point

for dealing with the issues of the minimum wage is to look at its systems implemented

across countries. The intricate array of all minimum wage systems can be captured to

18

some extent by reviewing motivations for the creation of minimum wages and

minimum wage fixing procedures and criteria held in legislative texts. Since minimum

wage systems also vary over time, the changes in the systems in response to social,

economic, and political flows should be taken into account for an enhanced

understanding of the operation of minimum wages. The first section of this chapter will

give an overview of motivations for the creation of minimum wages, basically on

reference to Starr’s work on it (1993, quoted in Cunningham, 2007). Then, the various

minimum wage fixing procedures and criteria will be reviewed in the following two

sections, using the ILO’s Working Conditions Laws Database of Minimum Wages 2012.

In these sections, we identify the classification of minimum wages, based on the work

accomplished by Eyraud and Saget (2005) and Nolte and Ghosheh (2010). Finally,

founded on the review of legislative texts, the present focus of minimum wage systems

around the world will also be discussed.

Motivations behind Minimum Wages

Motivations for introducing minimum wages reveal the two attributes of social justice

and economic adjustment at the same time. The types of motivations Starr (1993,

quoted in Cunningham, 2007, p.9) suggested - 1) protection of the most vulnerable, 2)

poverty reduction, 3) payment for inputs, 4) fair labour standards, 5) fair competition

and 6) macroeconomic objectives. The rationale for the creation of minimum wages

across countries explicitly or implicitly includes some of the motivations, and according

to time and place, the influence of pressure groups and the relation to other linked

systems, the motivations focus of a minimum wage moves from social justice to

economic adjustment and vice versa. In this regard, changes in the purpose of minimum

wages reflect the transition in main concerns with regard to the minimum wage.

Protection of the most vulnerable is the objective where low paid workers ‘with the

least bargaining power and the most inhuman living standards were the targets of the

policy’ (Cunningham, 2007, p.9). The early minimum wages set by law from the late

19th to the early 20th in New Zealand, Australia, the United Kingdom and the United

States resulted from the concern about “sweatshops” which were often thought of as

19

employing children, women and immigrants. The population addressed in the early

minimum wages worked under the most deprived working conditions at severely low or

even no pay, and furthermore, they did not have any organisational power to negotiate

the improvement of their working conditions including wages.

The aim of poverty reduction is in the same context of protecting the most vulnerable;

however, it identifies the most vulnerable as the poor and intends to protect workers in

all industries against unacceptably low wages by setting a generally applicable lower

rate, instead of fixing rates in line with individual industries and occupations. However,

greater flexibility is shown in practice through general minimum rates fixed at different

levels for various regions or broad industrial sectors, the exemption of a certain group of

workers, or sub-rates for apprentices, young workers and the handicapped; and also, this

purpose ‘presupposes that the influence of minimum wages on average wage

movements is marginal’ since their role is ‘confined to providing ‘safety net’ protection’

(Starr, 1933, pp.40-41). General rates with the basic floor concept are the most widely

used form of minimum wages in recent years, particularly among industrialised

countries.

Payments for input are associated with the interest in what should be paid by employers

rather than the concern about who should be targeted. The primary logic of this

objective is that employers are required to pay for the reproduction of labour and thus

‘wages should be sufficient to cover the cost of food, shelter, clothing and other

necessities that create labour’ (Cunningham, 2007, p.9). The original Wisconsin

minimum wage law in the United States, similar to most of other early minimum wage

laws (Arizona, Arkansas, California, Colorado, D.C., Kansas, Massachusetts,

Minnesota, Nebraska, North Dakota, Oregon, Puerto Rico, South Dakota, Texas, Utah,

Washington) before the end of the 1920s, provided for a minimum wage ‘sufficient for a

worker to maintain himself or herself under conditions consistent with his or her

welfare,’ defined to be ‘reasonable comfort, reasonable physical well-being, decency

and moral well-being’ (Thies, 1991, pp.717-719).

20

The motivation of fair labour standards begins with the contradiction between the idea

that all occupations and industries should have a “fair” wage which is ideally identified

by collective bargaining and the fact that there are some industries which are unable to

organise (Cunningham, 2007). In this regard, the objective of fair labour standards

views ‘a minimum wage set by government as the second-best solution’ (Cunningham,

2007 p.9) for ‘a ‘common rule’ to promote the application of the principle of equal pay

for equal work and to reduce areas of industrial conflict’ (Starr, 1993, p.24). The

Australian states of Victoria and Tasmania can be regarded as the cases of minimum

wages with this role. In those states, the wages board systems, although originally

intended for the protection of the most vulnerable workers at the turn of the nineteenth

century into the twentieth century, ‘have evolved into the predominant institutional

framework for determination of terms and conditions of employment’ in which

employer and employee representatives negotiated ‘the minimum rates for various

occupations in individual industries’ (Starr, 1993, p.28). Japan also has experience with

this role of minimum wages. Up to 1967 most minimum wages were determined on the

basis of inter-employer agreements and applied to only a part or all of an industry in a

given prefecture; since then minimum wage rates have been mostly fixed on the basis of

recommendations of minimum wages councils in the 47 prefectures of the country

(Starr, 1993, p.28).

The aim of fair competition is in line with the objective of fair labour standard;

however, it derives from a concern with unfair competition for factor inputs in

production. Among employers, ‘there is the desire to isolate wages from excessive

competitive pressures, the reasoning being that while producers should be free to

compete in matters of price, design, quality of product or service, it is unfair for

competition to be based on a bidding down of workers’ wages’; in this view, a minimum

wage set through a collective decision-making procedure is conceived of as a means of

preventing such unfair competitive pressures (Starr, 1993, p.24). In several provinces of

Canada, there were ‘special industry rates applied to a limited number of industries

where the problem of unfair competition with respect to wages was believed to be

particularly acute’ (Starr, 1993, p.29). In Ontario, in 1974, there were 84 schedules in

force concerned the clothing industry, the needle trades, construction and barbers’ shops

21

but have declined (Starr, 1993, p.29).

Macroeconomic objectives are related to the likely impacts of minimum wage on ‘the

entire wage distribution, which may lead to economic growth, inflation control, or

political gains’ (Cunningham, 2007, p.9). The use of minimum wages as a

macroeconomic policy instrument assumes that the minimum wage rates ‘will to a large

extent determine the wages actually paid by many workers’ either by their being fixed at

comparatively high levels or by of a comprehensive structure of industrial/occupational

rates linked to them and strengthen the purchasing power of wages which leads to the

increase in the level of demand for goods and services and accordingly, to avoidance of

serious unemployment or of the increased costs associated with the higher wages; ‘it is

also believed in this case that minimum wage fixing can be used to gain increased

government control over wage movements and wage structures without producing

major adverse effects on the resource allocation and incentive functions of wages’

(Starr, 1993, pp.47-48). Unlike most developed countries where minimum wage

systems intended to provide ‘safety net’ protection rather than to have a major influence

on prevailing wages, in a large number of developing countries, such as a number of

East African countries after independence, Colombia, Mexico and Costa Rica, minimum

wages have been often conceived of as the key instrument of wage policy (Starr, 1993).

The motivations behind a minimum wage can be traced by the minimum wage fixing

procedures and criteria employed in each system. Since minimum wage fixing

procedures are ostensibly involved in who makes decisions, they do not immediately

disclose the particular purpose of a minimum wage; instead, discussions and decisions

made in the procedures at a given time and place tell us about the specific purpose in a

certain case rather than a broad objective of a minimum wage. These insights may be

achieved by an in-depth analysis of the procedures. A variety of fixing procedures

across countries that are reviewed in the following section imply this point. In contrast,

each of the fixing criteria is more promptly linked to different aims (Eyraud and Saget,

2008); and hence, analysing the combination of the fixing criteria in a country may give

more concrete insights into what general objectives a certain country focuses on in

terms of its minimum wage system. This will be looked at in another section of this

chapter.

22

Minimum Wage Fixing Procedures

Different minimum wage fixing procedures exisitng around the world can be classified

by two major independent factors: the involvement of government or collective

bargaining as the key decision-makers and the number of minimum wage rates (Eyraud

and Saget, 2005). Based on consideration of those factors, countries can be sorted into

four categories in principle: a single rate for the whole country with the government as

the key decision-maker; multiple rates varying by region or by sector and/or occupation

with the government as the key decision-maker; a single rate for the whole country

determined by collective bargaining; and mutiple rates varying by region or by sector

and/or occupation determined by collective bargaining. These categories can be

compartmentalised according to the extent of government intervention and the

minimum wage fixing level. This means that whether government or collective

bargaining is involved as a key decision-maker is categorised again by the extent of

government intervention as 1) the government sets a minimum wage alone; 2) the

government determines a minimum wage following the direct consultation with the

social partners separately; 3) the government fixes a minimum wage based on advice

and/or recommendation of specialised committee; 4) a special body, mainly a tripartite

or bipartite committee, sets a minimum wage, and the government validate it; and 5)

minimum wages are set by collective bargaining without government intervention

(Eyraud and Saget, 2005; Nolte and Ghosheh, 2010); and whether a single rate or

multiple rates is applied can be divided again into five groups by the minimum wage

fixing level: 1) national level if minimum wages has universal coverage4, 2) regional

level if minimum wages are set by a regional wage-setting mechanism and vary across

the country; 3) national by sector and /or occupation if sectoral and/or occupational

minimum wages are set which apply to the whole country; 4) regional by sector and/or

occupation if sectoral and/or occupational minimum wages are set by regional wage-

setting mechanism; and 5) by sector and/or occupation if sectoral and/or occupational

minimum wages are set which do not automatically apply to all workers concerned in

the region or county (Nolte and Ghosheh, 2010).

23

Table 2.1 Minimum Wage Fixing Procedures among OECD Countries

Key decision-maker

Government¹ Collective bargaining

Government only

Tripartitie/bipartite involved

Government decision

following direct

consultation with the social

partners

Government decision based on recommendations

of specialized body (tripartite/

bipartite)

Special body’s decision

(tripartite/bipartite)

Number of

minimum wage rates

Single National Chile, Israel, Luxembourg, Netherlands, New Zealand, United States*

Czech Republic, Slovenia, Spain

Estonia, France, Hungary, Ireland*, Japan*, Republic of Korea, Portugal, Slovakia, United Kingdom

Australia*, Belgium*, Poland, Turkey

Multi- ple

Regional Canada*, United States*

Canada*, Japan*

Mexico*

National by sector

and/or occupat-

ion

Ireland * Australia*, Belgium*, Finland* Greece**, Mexico*

Austria*, Finland*, Iceland, Norway**

Regional by sector

and/or occupation

Canada* Canada*, Japan*

Austria* Switzerland

By sector/ occupa-

tion

Denmark, Germany, Italy, Sweden

Source: ILO, Minimum Wage Fixing Database 2012 Notes: 1. In many countries within this category, in certain sectors and/or occupations or at an enterprise level collective bargaining sets minimum wage rates that are higher than the minimum rates set by an government or an authority. These are not included in the table as the rates thus set are an addition to the basic statutory minimum. * Some countries have several types of fixing mechanisms. ** The categorisation of these two countries is not in accord with the previous analysis among which the most recent is conducted by Nolte and Ghosheh based on the ILO’s minimum wage fixing database 2009.

24

Table 2.1 shows a reclassification of the minimum wage fixing procedures among the

OECD countries in 2012, based on the vital factors identified by Eyraud and Saget in

2005 and by Nolte and Ghosheh in 2009, as explained above. In the majority of

analysed countries (64.7 per cent), the government sets a single minimum wage rate at

the national level. Among the countries belonging to this category, the most popular

system is the government determination of a single national minimum wage based on

the recommendation of a special body usually composed of employee, employer and

government representatives (26.5 per cent of the total); the second most commonly used

system among the OECD countries is where the government sets a single national

minimum wage alone without any obligation to consult the social partners or a special

body (17.6 per cent of the total); next is that of a tripartite committee fixing a single

national rate and the government simply confirming the decision (11.8 per cent of the

total); and the government determination of a single national rate following the direct

and separate consultation of the social partners is found in three among the analysed

countries (8.8 per cent of the total). At this point, it should be noted that, in practice, the

importance of consultation is recognised even in the case where the government is the

only key decision-maker, and the three types except minimum wage determination by a

special body are often very similar (Eyraud and Saget, 2005). Regardless of the

variation by the extent of the government intervention, a single national minimum wage

determination by the government is found among the most developed countries such as

France, Japan, the United Kingdom and the United States, and also among the countries

which have become OECD members since the 1990s, for instance, Chile, Czech

Republic, Estonia, Hungary, Israel, Republic of Korea, Slovakia and Slovenia. Indeed,

eight of the nine countries which have relatively recently joined the OECD have

adopted one of the systems in which the government plays the main role in setting a

single national minimum wage.

Meanwhile, minimum wage determination by collective bargaining is observed only in

multiple rates, in three fixing levels. This means that there is no case in which collective

bargaining fixes a single national rate or regional rates applying to all workers in a

region or area. In nine countries (26.5 per cent), collective bargaining determines

multiple rates in three fixing levels: in Denmark, Germany, Italy and Sweden, the social

25

partners directly negotiate wages through sectoral and/or occupational agreements, and

thus no minimum wage actually exists; in several countries including Iceland and

Norway, a national multi-sectoral agreement sets a single minimum wage rate for the

whole country; and in Switzerland, multi-sectoral agreements varying by region

determine a minimum wage rate for a region or area. All countries belonging to the type

of minimum wage determination by collective bargaining are well developed nations

with high per-capita income levels.

A minimum wage may also be set through decentralised collective bargaining in most of

countries adopting a nationl minimum wage determination by government, which

normally must not be less than the national minimum wage level. Apart from this, nine

of the thirty four OECD countries have multiple types of fixing mechanisms. Australia,

Belgium, Ireland, Japan, Mexico, and the United States have more than two different

fixing levels in a key decision-maker; and Austria, Canada and Finland have various

combinations of a key decision-maker and a fixing level. Eyraud and Saget (2005)

suggested two reasons for minimum wage rates to be set by region, the administrative

and political stucture of the country and allowance for differences in living standards.

Although they may not cover the whole range of countries, the two reasons can work as

explanation for the countries having multi-types of minimum wage procedures.

Minimum Wage Fixing Criteria

Minimum wage fixing procedures are related to who and how a minimum wage is set

and at what level it works. Minimum wage fixing criteria, meanwhile, are concerned

with what motivations or objectives a minimum wage has. Countries take different

criteria into account for minimum wage setting, and it means that the aims of minimum

wage vary by country according to the criteria considered. In this regard, as the

motivations behind minimum wages disclose the two properties of social justice and

economic adjustment as mentioned in the eariler section, the criteria are divided into

two broad categories: the first is of more social nature addressing the needs of workers,

and the other is more economically oriented, focusing on the country’s economic

conditions (Eyraud and Saget, 2005). Among the criteria mainly covered by the ILO’s

26

database 2012, the level of wages and income in the country, the needs of workers and

their families, social security benefits, inflation rate and the cost of living can be seen as

having more of social nature, while productivity, capacity of enterprises to pay and the

level of employment are deemed to be of greater economic concern. Economic

development can be regarded as cutting both ways depending on the economic situation

in a country.

Table 2.2 shows the criteria of minimum wage fixing taken into consideration among

the OECD countries. The criteria most frequently considered in these countries are the

level of wages and income and the cost of living, followed by economic development,

inflation rate and the need of workers and their families in sequence. Then both

productivity and the level of employment rank fifth, and social security benefits and the

capacity of enterprises to pay in order are at the bottom of the scale. The level of wages

and income in the country are taken into account for mostly three objectives when

determining the minimum wage rate: the equal pay for equal work, the prevention of the

wage gap expansion and/or the allowance for the existing regional difference in wages.

The purpose, the equal pay for equal work is not clearly stated in other countries, but in

Australia, the Fair Work Act 2009 specifies that Fair Work Australia, the minimum

wage fixing panels, must ‘have regard to the principle of equal remuneration for work

of equal or comparable value’ (Fair Work Act 2009 §284(1)(d), cited from the ILO legal

database). The object to avoid the expansion of the wage gap in a country is the most

expected outcome by the countries considering the level of wage for minimum wage

fixing. France, Ireland, Israel and the Netherlands explicitly determine it about the

criterion: in France, Labour Code states that ‘annual adjustment to the national

minimum wage rate should eliminate the imbalance between the national minimum

wage rate and the progression of general economic conditions and income’ (Labour

Code §L3231-9, cited from the ILO legal database); in Ireland, ‘if no agreement

between employer and employee representatives has been reached, the Labour Court

when making a recommendation to the Minister concerning the minimum wage rate has

to take the movement to earnings since the last minimum rate of pay into account’

(National Minimum Wages Act S.13(5), cited from the ILO legal database); and very

strictly enforced in Israel and the Netherlands, ‘the minimum wage is 47.5 per cent of

27

Table 2.2 Minimum Wage Fixing Criteria among OECD Countries

Social nature both Economic oriented

Level of wages

Social security benefits

Needs of

workers and their

families

Cost of

living

Inflation rate

Econom -ic

develop ment

Produc tivity

Capacity of

business to pay

Level of Employ -ment

No criteria

Australia √ √ √ √ √ √ √ √

Austria √ Belgium √

Canada √ Chile √ √

Czech √

Estonia √ √ √ √ √

Finland √

France √ √ √ √

Germany √ Greece √

Hungary √ √ √ √ √

Iceland √ Ireland √ √ √ √

Israel √ √

Italy √

Japan √ √ √ √

Korea √ √ √ √

Luxembourg √ √ √

Mexico √ √ √ √ √ √

Netherlands √ √ √ √

New Zealand √ Norway √ Poland √ √ √ √ √ √ √ √

Portugal √ √ √ √ √

Slovakia √ √ √ √ √

Slovenia √ √ √ √

Spain √ √ √ √ √ √

Switzerland √ Turkey √ √ √ √

UK √

US √ √ √ √

Source: ILO, Minimum Wage Fixing Database 2012 Notes: Austria and Germany are included in the ILO’s database 2012 on the criteria of minimum wages, with no information and thus regarded as with no criteria while Denmark and Sweden are excluded in the criteria part of the database and taken away from the table.

28

the average wage’ in Israel (Minimum Wages Act §1, cited from the ILO legal database),

which is automatically raised in accordance with changes in average wage levels, and

‘minimum wage increases are automatically indexed to estimated increases in average

negotiated wage rates in both the public and private sectors in the current year and

revised accordingly by the Ministry of Social Affairs and Employment’5 in the

Netherlands (Minimum Wage and Minimum Leave Allowance Act Art.14, cited from the

ILO legal database). The use of the level of wages and income when determining

minimum wages is found in countries which allows for the regional difference in wages,

seeking more affordable levels of minimum wages in each region. In Japan, regional

minimum wages are specified with consideration given to the wages of workers in the

region.

Considering reference to the cost of living has the main purpose of maintaing the

purchasing power among low pay workers. The inflation rate also concerns the same

object, and the needs of workers and their families can be regared as part of the

reference to the cost of living and inflation rate (Eyraud and Saget, 2005). Due to the

analogous attribute among the three criteria, they are deemed alternatives to each other

for the same purpose, keeping the workers’ purchasing power. Twenty two countries

take at least one of the three criteria into considertation when minimum wage fixing;

and seven countries (Australia, Estonia, Mexico, Poland, Portugal, Spain and Turkey)

allow for all three. However, in order to achieve the proposed goal, the maintenance of

workers’ purchasing power, how strictly each criterion is enforced would be more

critical than how many criteria are considered. Some countries more concretely stipulate

what they do for the consideration of the cost of living, inflation rate and/or the needs of

workers and their families: in Begium and France, minimum wage rates are indexed to

consumer price index (CPI); in France, in particular, ‘the increase in purchsing power of

the minimum wage rate must be equal to at least half the total increase in the purchasing

power of the average hourly wage as set forth in the quarterly inquiry carried out by the

Ministry of Labour’ (Labour Code §L3231-8, cited from the ILO legal database);

Poland and Slovakia take account of price index development and consumer prices,

respectively; in Australia, the relative living standards is required to be allowed for in

addition to the needs of the low paid; and in Mexico, ‘the National Commission on

29

Minimum Wages shall consider the investigation and studies carried out to set the

minimum wages according to the budget that a family may require to cover material

needs, such as accomodation, household goods, food, clothing and transport, social and

cultural needs, such as the assistance to live performances, the performing of sports, the

use of libraries and other cultural activities; and the needs related to the education of the

children’ (Federal Labour Act Art.90, art.562 II(a), cited from the ILO legal database).

Economic development as a minimum wage fixing criterion is typically for preventing

too high increases and thus seeking more viable levels of minimum wages; and

economic oriented criteria including productivity, the capacity of enterprises to pay and

the level of employment also have the same purpose. However, economic development

can be more positively taken into account for minimum wage setting. In the case that

Eyraud and Saget (2005) refered to, where the minimum wages are set not just for

covering the basic needs of the poorest workers and their families but also for enabling

them to benefit from growth in general in the same way that other workers do, the

criterion, economic development are considered with the aims of poverty reduction. As

to this, more discussion will be presented in the following section.

At this point it should be noted that the allocation of each criterion to either a category

of social nature or one of economic concern, even among other criteria which were not

included in the discussion above, is not clear-cut in practice because the same criterion

can be used in a different way or even the opposite one. The inflation rate is usually

taken into consideration in order to avoid the purchasing power of workers being

reduced; however, in Ireland, ‘the Labour Court must consider the likely impact that a

recommendation made would have on inflation in the economy’ (National Minimum

Wage Act S. 13(5)). Social security benefits, though they were not included above as a

universal criterion for minimum wage fixing, are also taken into account for quite

different reasons. In Hungary, Japan and the Netherlands where social security benefits

are included as a minimum wage fixing criterion, the consideration of social security

benefits is for not upsetting the social benefits budget and preventing the big gap of

income among people; but, in China, the minimum wage should be set higher than

unemployment benefits in order to encourage the unemployed to find jobs (Eyraud and

Saget, 2005).

30

Whereas the majority of the OECD countries adopts a part of the criteria discussed

above, some states including Austria, Canada, Germany, Greece, Iceland, New Zealand,

Norway and Switzerland do not specify certain criteria for minimum wage setting.

However, they maintain the highest level of minimum wage with more than 1,000 US

dollar as a monthly minimum rate as of 2009 (Nolte and Ghosheh, 2010). In this regard,

the key is the fixing procedures and government’s focus when using a minimum wage

as a tool for macroeconomic and/or social policy.

Present Focus of Minimum Wage Research

From the review of the minimum wage systems, particularly of the fixing criteria

among the OECD countries using the ILO’s legal database 2012, the present focus with

regard to the purposes of the minimum wage can be narrowed down to three topics,

poverty, wage inequality and employment which are also the most controversial issues

in recent minimum wage debates.

Firstly, the motivations behind minimum wages is related to poverty reduction. The

earliest minimum wage was based on the fact that workers were paid extremely low

wages no matter how much they produced and needed to be provided the least necessary

to reproduce the labour; however, the notion of protection from poverty has been

expanded with the idea of workers’ needs. What is included into workers’ needs makes

the view of protection from poverty vary by time and space. Eyraud and Saget (2005,

p.41) suggested three transition patterns of the variation in the needs of workers: ‘a

move from the notion of basic needs to the requirements for a decent standard of

living’; ‘an extension of the notion of a decent standard of living to include different

aspects of social protection outside the enterprise such as pensions, family benefits,

etc.’; and ‘an even wider extension, where the minimum implies not just covering the

needs of the poorest workers and their families, but also enabling them to benefit from

growth in general in the same way that other workers do’. A shift from the concept of

basic needs to the prerequisite for a decent standard of living refers that not only the

goods to meet a worker’s physical necessity but also the requirements for a decent

living such as education, health and social security for retirement are considered when

31

calculating workers’ basic needs. Mexico is a good example where legislative texts

proclaim the requirements for a decent standard of living. As mentioned in an earlier

section, in Mexico, social and cultural needs including the assistance to live

performances, the performing of sports, the use of libraries and other cultural activities

as well as expenditures for subsistence or survival such as food, clothing and shelter are

taken into account as the basic needs of workers. An extended notion of a decent

standard of living to include different aspects of social protection indicates that the

minimum wage functions as a ‘social floor’ by linking it to social security benefits. In

these systems, retirement benefits, disability payments, unemployment benefits and/or

maternity benefits are adjusted with a rise in the minimum wage so that the purchasing

power of the most vulnerable beneficiaries is preserved. However, this notion has

inherent limitations in practice because a rise in the minimum wage may potentially

cause a large increase in social security costs and therefore many governments are

reluctant to raise minimum wage levels. In the widest notion that a minimum wage

enables the poorest workers and their families to benefit from growth in general in the

same way that other worekrs do, the minimum wage functions as an instrument of

redistribution rather than a tool for reduction of absolute poverty, depending on the

country’s strong economic growth. France in 1970 and the Netherlands in 1968 had the

objectives behind the implementation of minimum wages that the ‘guaranteed’

minimum wage was replaced by the minimum ‘growth’ wage (Eyraud and Saget, 2005,

p.45).

Secondly, minimum wages have relevance to the objectives of reducing wage inequality

and discrimination. Increases in the minimum wage have an effect of narrowing the

wage hierachy if there is no similar rise in higher wages. Although there are few cases

in which legislative texts declare the reduction of wage inequality as an objective, many

countries use minimum wage policy in order to cut back the wage gap at some stage.

However, the minimum wage works as a wage floor to push the whole wage distribution

onto the higher level without curtailing the wage gap in some developed countires, and

in this case lessening the wage hierarchy is not easily achieved by the minimum wage.

Minimum wages can be also used to help to oppose wage discrimination. Beyond the

fact that more women than men are in low paid jobs, which informs the wage inequality

32

between women and men, women are often paid less than men for the same work. This

kind of wage discrimination is often found in some vulnerable age groups as well.

Australia, Hungary and Portugal specify the principle of ‘equal pay for equal work’ in

their minimum wage law in order to prevent the wage discimination. The National

minimum wage in the United Kingdom also addressed the gender pay gap when newly

introduced (Grimshaw, 2011).

Thirdly, the minimum wage is connected with employment or unemployment. Unlike

the relation with other objectives discussed above, the minimum wage itself does not

intend to raise the employment rate nor to decrease the unemployment rate. Due to the

potential negative effects of the minimum wage on employment, several economic

motivations such as hindering a rise in production costs, preventing out-of-hand

inflation and maintaining general economic situation are behind the relation between the

minimum wage and employment or unemployment rates. In other words, such

economic objectives are accomplished in the way of impeding the increase in minimum

wage rates or not encouraging the increase by taking into account of the level of

employment or unemployment rates when the minimum wage fixing while the

ostensible reason for the minimum wage is still kept. Regardless of the fact that whether

or not minimum wages have negative effects on employment is very controversial and

far from conclusive, the level of employment has been adopted as an criterion of

minimum wage fixing for the economic purposes in more and more countires, and eight

among the OECD countries (Australia, Hungary, Ireland, Mexico, the Netherlands,

Poland, Slovakia and Slovenia) currently take into account of it for minimum wage

setting.

Conclusion

This chapter reviewed minimum wage systems across different countries. The minimum

wage is a social policy intended to meet the demands of social justice for low paid

workers in principle, but is more complex in practice in terms of its purpose, fixing

procedures and criteria. The motivations behind minimum wages, which have been

addressed since the advent of the first minimum wage in the late nineteenth century, can

33

be summed up as protection of the most vulnerable, poverty reduction, payment for

inputs, fair labour standards, fair competition, and macroeconomic objectives. This

suggests that the motivations behind minimum wages display both the attributes of

social justice and economic adjustment at the same time, and their focus moves from

one attribute to the other with a variety of influences such as time and place, pressure

groups, and other related systems. The purpose of a minimum wage can be traced by its

fixing procedures and the criteria employed in each system. While the fixing criteria are

immediately linked to different aims so that the combination of the criteria in a country

informs us of a general objective that country focuses on in terms of its minimum wage

system, the fixing procedures which are involved in who makes the decision and at what

level a minimum wage operates would reveal the purpose through discussions and

decisions within them. The fact that the majority of the fixing procedures adopt a type

of multilateral consultation and even the case where the government is the only key

decision-maker recognises the importance of consultation in practice, indicates the

value of discussions and decisions held in the fixing procedures for understanding the

effects of minimum wages. This is the main basis for the new theoretical framework

advanced in Chapter Five and, subsequently, to understand the quantitative empirical

results discussed in Chapter Eight. From the review of the minimum wage systems,

particularly of the fixing criteria, the present focus with regard to the purposes of the

minimum wage is narrowed down to three topics, poverty, wage inequality and

employment. These topics are the main ones examined in this thesis.

34

Notes

1 The early minimum wages set by law in New Zealand in 1894, in Australia in 1896, and in England in 1909 were mainly intended to prevent employers from hiring children, women, apprentices, or wage workers in certain industries such as chain making, lace finishing, paper and cardboard boxing making, and tailoring at no or very low pay (Neumark and Wascher, 2008). 2 It is originally from ILO (1992). Minimum Wages: Wage-Fixing Machinery, Application and Supervision. International Labour Conference, 79th Session, Report III (Part 4B) (General Survey), Geneva: International Labour Office. 3 There are two international labour standards on minimum wages provided by the ILO, the Minimum Wage Fixing Machinery Convention, 1928 (No.26) and the Minimum Wage Fixing Convention, 1970 (No. 131). Convention No.26 asks its ratifying countries ‘to create or maintain machinery whereby minimum rates of wages can be fixed for workers employed in certain of the trades or parts of trades (and in particular in home working trades) in which no arrangements exist for the effective regulation of wages by collective agreement or otherwise and wages are exceptionally low’ (Minimum Wage Fixing Machinery Convention 1928 No.26, Art. 1). Convention No.131 adjures the member who ratify it ‘to establish a system of minimum wages which covers all groups of wage earners whose terms of employment are such that coverage would be appropriate’ (Minimum Wage Fixing Convention 1970 No.131, Art. 1). Both conventions commonly require the full consultation of the social partners while any of them does not impose a national statutory minimum wage (Eyraud and Saget, 2008). 4 Nolte and Ghosheh (2010) noted that this also includes countries which determine minimum wages at national level, varying by area or region, such as Thailand and Vietnam. However, among the OECD countries, there is no case of this. 5 The minimum wage rate in the Netherlands may be frozen at its current level in the two situations: ‘if the average wage rise is considered too high, and as a result an increase of unemployment is expected, or if the increase in the amount of social welfare benefits, which are based on minimum wage rates, increases to such an extent that a significant increase in premiums or taxes is necessary’ (Minimum Wage and Minimum Leave Allowance Act Art.14 Decree on the adjustment of the minimum wage per 1 July 2012 Explanatory note).

35

Chapter Three Older Workers in the Labour Market

Introduction

Whether the minimum wage is an influential policy in particular for older workers has

not been focused on much in comparison to younger age groups. There are several

reasons for this academic inclination that will be shown in Chapter Four, such as the

relatively small proportion of older employees as a result of the trend towards early

retirement throughout the 1970s and 1980s, the big differential across countries in the

proportion of older workers in the labour force even after the end of the trend since the

mid-1990s, the focus of attention on employment and inequality issues among younger

workers and female workers along with the sign of the economic turndown and the level

of the unemployment rate worsening, and the tendency that workers with higher

education and higer wage work longer in their later life. Linking the minimum wage to

older workers, at least three points with regard to the characteristics of older workers

should be clarified: how a significant proportion of older workers is active in the

workforce; what sectors, occupations and/or types of employment contract older

workers are in; and how they are spread in the wage distribution.

In this chapter, the labour force participation rate and the employment rate of older

workers, the types of contracts and sectors that they are involved in, and their wage

level are reviewed. The labour force participation rate is defined as the proportion of

people of a given age who are employed, self-employed or actively seeking jobs as a

percentage of the total population in that same age group; and the employment rate, as

the proportion of employed or self-employed people of a given age as a percentage of

the total population in that same age. The labour force participation rate and the

employment rate reflect both the extent of older people’s needs to be engaged in work

and the capacity of an economy to embrace the needs, respectively. In addition to these

rates, it is to be noted that the unemployment rate of an age group typically refers to the

number of people of a given age who are neither employed nor self-employed but

36

actively seeking work as a percentage of the total number of economically active people

- employed, self-employed, or actively seeking work - in that same age group. The

unemployment rate implies a limit in the capacity of an economy to embrace people’s

need to work. A high unemployment rate is associated with high involuntary exit from

the labour market. This tendency is more likely to be among older workers, but

unemployment is not easily distinguished from exit from the workforce in data. In this

regard, the unemployment rates used in Chapter Seven of this thesis were measured as

the proportion of people of a given age who were neither employed nor self-employed

or in non-wage family business work as a percentage of the total population in that same

age group. Meanwhile, the types of contracts and sectors which older workers are

involved in and their wage level would suggest to what extent older workers are

engaged in low-wage work and potentially influenced by the minimum wage.

Labour Market Participation

As a strong trend to early retirement throughout the 1970s and 1980s came to an end in

the mid-1990s and during the 2000s, the labour force participation rate of older workers

has crept up (OECD, 2011). The participation rate for those aged 55-64 in the OECD

countries has increased significantly from 48.5 per cent in 1995 to 57.8 per cent in 2011,

compared to the slightly increased one for their ‘prime aged’ counterparts aged 25-54

from 79.8 per cent to 81.3 per cent and contrasting with the decreased rate of those aged

15-24 from 52.9 per cent to 47.2 per cent in the same year. Figure 3.1 shows that the

rise in the participation rate is also found in the older age groups such as those aged 65-

69 and over 70 although the rates of increase among the groups are not conspicuous as

much as the one among those aged 55-64. Unlike the decline among younger workers

aged 15-24 and the stasis among the middle aged workers aged 25-54, the participation

rate of older workers display a tendency to increase even after the financial crisis. The

rate increased by 1.4 percentage points in both groups aged 55-64 and 65-69 and by 0.3

percentage points among workers aged over 70 between 2008 and 2011. The increase in

the participation rate is remarkable particularly among women aged 55-64. As shown in

Figure 3.2, the rate for the group has increased by 16.0 percentage points, from 36.2 per

cent in 1995 to 52.2 per cent in 2015.

37

Figure 3.1 Labour Force Participation Rates by Age Group in OECD Countries, 1970- 2011 (%)

Source: OECD, Labour Force Statistics database

Figure 3.2 Labour Force Participation Rates of Workers Aged 55+ by Sex and Age Group in OECD Countries, 1995-2015 (%)

Source: OECD, Labour Force Statistics database

The increasing pattern of the participation rates for older workers since the mid-1990s is

found in many OECD countries, in particular among those aged 55-64, despite the

difference in the steepness of each rise. However, as seen in Figure 3.3, deviating from

this pattern, the participation rates have fluctuated narrowly and thus remained at a

relatively similar level in Greece, Iceland, Japan, Korea and Mexico; and the increase

after the financial crisis is not shown in Ireland, Japan, Portugal, the United Kingdom

and the United States in which the participation rates of older workers aged 55-64 were

almost flat between 2008 and 2011. In Poland and Turkey, the participation rates have

declined until 2008 and henceforth increased to a great extent. Along with some

0

20

40

60

80

100 15 to 24 25 to 54 55 to 64 65 to 69 70+

1995 2005 2008 2015 55 to 64 62.6 65.6 67.1 70.5 65 to 69 22.4 27.0 29.2 32.5 70+ 4.6 5.8 7.4 8.7

0 10 20 30 40 50 60 70 80

MEN

1995 2005 2008 2015 55 to 64 36.2 43.5 46.0 52.2 65 to 69 11.7 14.5 16.3 19.6 70+ 0.9 1.6 2.2 3.5

0 10 20 30 40 50 60

WOMEN

38

Figure 3.3 Labour Force Participation Rates of Workers Aged 55-64 among OECD Countries, 1970-2011 (%)

Source: OECD, Labour Force Statistics database

0

20

40

60

80

100

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Australia Canada

Japan New Zealand

United States OECD countries

0

20

40

60

80

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Austria Belgium France Germany

Luxembourg Netherlands Switzerland OECD countries

0

20

40

60

80

100

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Denmark Estonia Finland Iceland Ireland Norway Sweden United Kingdom OECD countries

0 10 20 30 40 50 60 70

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Greece Italy

Portugal Slovenia

Spain OECD countries

0 10 20 30 40 50 60 70

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Czech Republic Hungary

Poland Slovak Republic

OECD countries

0 10 20 30 40 50 60 70

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Chile Israel

Korea Mexico

Turkey OECD countries

39

exceptions in the pattern of the participation rates, the rate varies by country from 33.0

per cent in Turkey to 84.1 per cent in Iceland as of 2011, for example. The average of

the participation rates for older workers aged 55-64 in the OECD countries was 57.8 per

cent in 2011, which is very close to the rates only in two countries, the Netherlands and

the United Kingdom. The participation rates for older workers exceeed 60 per cent in

Australia, Canada, Chile, Denmark, Estonia, Finland, Germany, Israel, Japan, Korea and

the United States, and even 70 per cent in five countries, including Iceland, New

Zealand, Norway, Sweden and Switzerland. At the other end of the spectrum, eleven

countries (Austria, Belgium, Czech Republic, France, Greece, Ireland, Luxembourg,

Mexico, Portugal, Slovakia and Spain) have the participation rates of 40 per cent or

over but below the OECD average, and the other five countries (Hungary, Italy, Poland,

Turkey and Slovenia) have less than 40 per cent of older workers active in the labour

force.

The employment rate of older workers is a more critical measure of their labour market

conditions in as much as the rate informs of the extent that they are embraced in practice

in an economy. Linking to minimum wages, the rate enables a rough assumption about

the population size of older workers who are likely to be affected by minimum wages.

The employment rates for older workers in the OECD countries have similarities with

the labour force participation rates for them in the countries in many ways. First of all,

the employment rate of older workers aged 55-64 in the OECD countries averaged 54.4

per cent in 2011. It is still low compared to 75.4 per cent, the average rate among ‘core-

age’ workers aged 25-54; however, considering the fact that the average rate for younger

workers aged 15-24 hit 39.5 per cent in the same year, their lowest employment rate

since 1970, the rate for older workers is not insignificant. Second, as seen in Figure 3.4,

employment rates have steadily increased since the mid-1990s in all three groups of

older workers aged 55-64, 65-69 and over 70. The rise in the employment rate is found

in both men and women, and the rate has sharply increased particularly among women

aged 55-64, as in the labour force participation rate, from 34.6 per cent in 1995 to 50.0

per cent in 2015 (Figure 3.5).

40

Figure 3.4 Employment Rates by Age Group in OECD Countries, 1970-2011 (%)

Source: OECD, Labour Force Statistics database

Figure 3.5 Employment Rates of Older Workers Aged 55+ by Sex and Age Group in

OECD Countries, 1995-2015 (%)

Source: OECD, Labour Force Statistics database

Finally, as shown in Figure 3.6, the employment rate and its pattern also differ by

country as the labour force participation rate and its pattern do. In 2011, the

employment rates ranged from 31.2 per cent to 79.5 per cent among the OECD

countries. In six countries, including Australia, Israel, Japan, Korea, Norway and

Switzerland, the employment rates for those aged 55-64 were over 60 per cent, and in

Iceland, New Zealand and Sweden, over 70 per cent of the counterparts were

employeed. However, sixteen countries had the employment rates for the age group

below the OECD average, and in eight of them, the rates were less than 40 per cent.

0 10 20 30 40 50 60 70 80 90

15 to 24 25 to 54 55 to 64 65 to 69 70+

1995 2005 2008 2015 55 to 64 59.0 62.4 64.2 66.8 65 to 69 21.7 26.3 28.3 31.4 70+ 4.6 5.8 7.3 8.6

0 10 20 30 40 50 60 70 80

MEN

1995 2005 2008 2015 55 to 64 34.6 41.7 44.3 50.0 65 to 69 11.3 14.1 15.9 19.1 70+ 0.9 1.6 2.1 3.4

0 10 20 30 40 50 60

WOMEN

41

Nevertheless, the employment rates are not dispersed from the average as much as the

labour force participation rates, and thus the gap between the average and the

employment rate in each country is not as wide as the one between the participation rate

in individual country and its average.

Figure 3.6 Employment Rates of Workers Aged 55-64 among OECD Countries, 1970- 2011 (%)

Source: OECD, Labour Force Statistics database

0

20

40

60

80

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Australia Canada Japan New Zealand United States OECD countries

0

20

40

60

80

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Austria Belgium France Germany Luxembourg Netherlands Switzerland OECD countries

0

50

100

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Denmark Estonia Finland Iceland Ireland Norway Sweden United Kingdom OECD countries

0 10

20 30 40

50 60

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Greece Italy Portugal Slovenia Spain OECD countries

0

20

40

60

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Czech Republic Hungary Poland Slovak Republic OECD countries

0

20

40

60

80

19 70

19 73

19 76

19 79

19 82

19 85

19 88

19 91

19 94

19 97

20 00

20 03

20 06

20 09

Chile Israel Korea Mexico Turkey OECD countries

42

Non-Regular Employment and Sectoral Employment Structure

What types of employment and what sectors the growing number of older workers are

in could be an indicator to predict how many older workers will be affected by

minimum wages. In general, non-regular employees such as part-time and temporary

workers are more likely than their full-time and permanent counterparts to be low-wage

workers; and the employees in sectors of industry, typically including the retail trade,

hotels and restraunts, transport, social services and some areas of manufacturing are

regarded as being engaged in low pay work, which are highly expected to be influenced

by minimum wages.

Workers aged 55 and over are more likely than workers aged 25-54 to be employeed in

part-time jobs in the OECD countries. As shown in Figure 3.7, while the incidence of

part-time employees aged 25-54 has ranged from 10.8 to12.4 since 2000, the one of the

counterparts aged 55-64 has maintained over 16 per cent during the same period. Part-

time employment is the most popular among workers aged 65 and over. Although the

rate has decreased in the OECD countries since 2000, it still remained 36.9 per cent in

2011, which was incomparable to the rates for other age groups. Looking at part-time

employment among older workers by sex, women are much more likely to be engaged

in part-time work than men, and the incidence greatly rises at age of 65 or over for both

(Figure 3.8).

Figure 3.7 Incidence of Part Time Employment by Age Group in OECD Countries, 2000- 2011 (%)

Source : OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

15 to 24 23.3 24.1 24.6 25.3 25.9 26.3 26.3 26.4 27.2 29.2 29.3 28.5

25 to 54 10.8 11.0 11.1 11.2 11.4 11.6 11.4 11.4 11.4 12.2 12.4 12.0

55 to 64 16.5 16.6 16.3 16.6 16.5 16.3 16.3 16.3 16.2 16.5 16.6 16.3

65+ 42.9 42.8 42.4 41.3 42.5 41.8 41.2 40.8 39.9 40.9 39.5 36.9

0 10 20 30 40 50

15 to 24 25 to 54 55 to 64 65+

43

Figure 3.8 Incidence of Part Time Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%)

Source: OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’

But the incidence of part-time employment in the two age groups differs significantly

across countries (Table 3.1). In Ireland, the Netherlands and Switzerland, over 35 per

cent of workers aged 55-64 were working part-time in 2011 while the rate was under 10

per cent in five OECD countries including Chile, Czech Republic, Hungary, Slovakia

and Turkey; and the share of part-time employment among those aged 65 and older was

more than 45 per cent in 17 OECD countries and over 70 per cent in Austria, Belgium,

Germany and the Netherlands while the rate was below 20 per cent in Chile, Greece and

Turkey. However, even in countries where the incidence of part-time employment was

much lower than other OECD countries in the two older age groups (Chile and Turkey),

the rates increased by from 3.2 to 12.9 pertange points between 2000 and 2011. It is

assumed that such small proportion of part-time employment for older workers in the

two countries is due to the composition of types of employment in each economy. In

fact, the rate of part-time employment for the total employees in Chile increased from

1.6 per cent in 2000 to 8.6 per cent in 2011, and the rate in Turkey, from 2.5 per cent to

4.6 per cent during the same period; these are very low compared to the OECD average

which was 13.5 per cent in 2000 and 15.3 per cent in 2011 (OECD Statistics, Labour

Force Survey database, ‘Incidence of Full-Time Part-Time Employment Based on

Common Definition’).

2001 2008 2011 2016 Men 7.7 7.6 7.9 7.6

Women 28.2 26.3 26.2 24.8

0

5

10

15

20

25

30

55-64

2001 2008 2011 2016 Men 35.6 33.2 33.0 30.6

Women 52.2 47.6 46.7 45.0

0

10

20

30

40

50

60

65+

44

Table 3.1 Part Time Employees Aged 55-64 and 65+ by Country in 2011

Part-time employees

aged 55-64

Country Part-time employee

aged 65+

Country

Above the OECD

average, 16.3% (x ≥ 20%)

Australia, Austria,

Belgium, Germany,

Ireland, Italy,

Netherlands, New

Zealnd, Norway,

Switzerland, United

Kingdom

Above the OECD

average, 36.9% (x ≥ 45%)

Australia, Austria,

Belgium, Czech Rep.,

Denmark, Finland,

Frnace, Germany,

Ireland, Luxembourg,

Netherlands, New

Zealnd, Norway, Poland,

Slovenia, Sweden,

United Kingdom

About the OECD

average, 16.3%

(10% ≤ x < 20%)

Canada, Denmark,

Finland, France,

Greece, Iceland, Israel,

Luxembourg, Mexico,

Poland, Portugal,

Slovenia, Spain,

Sweden, United States

About the OECD

average, 36.9%

(25% ≤ x < 45%)

Canada, Estonia,

Hungary, Israel, Italy,

Mexico, Portugal, Slovak

Rep., Spain, United

States

Below the OECD

average, 16.3% (x <

10%)

Chile, Czech Rep.,

Hungary, Slovak Rep.,

Turkey

Below the OECD

average, 36.9%

(x < 25%)

Chile, Greece, Turkey

Source: OECD, Labour Force Statistics database, ‘Incidence of Full-Time Part-Time Employment Based on Common Definition’ Note: The data are not available for both age groups in Japan and Korea and for 65+ group in Iceland and Switzerland.

In the incidence of temporary employment in the OECD countries, there is no

significant difference between workers aged 25-54 and those aged 55-64. The rate

ranged from 8.7 to 10.0 between 2000 and 2011 in both age groups (Figure 3.9). Also,

the difference between men and women is not consistent in the two older age groups,

55-64 and 65 and older, and the gap between the gender groups has declined from 2001

to 2016 (Figure 3.10). But, as shown in Figure 3.9, employees aged 65 and older were

more likely than those in the two age groups to work in temporary jobs during the same

period. The incidence of temporary employees aged 65 and older in the OECD countries

was 19.5 per cent in 2011, but it also varies by country. Over 30 per cent of workers

aged 65 and older in Belgium, France, the Netherlands, Poland, Slovakia and Sweden

and even over 50 per cent of their counterparts in Czech Republic, Korea and Slovenia

45

were working in temporary jobs while the rate was under 10 per cent in six OECD

countries and below five per cent in Austria and Estonia (Table 3.2). Furthermore, there

is no common tendency of increasing or decreasing number of older temporary workers

among the OECD countries. However, it should be noted that, as seen in Table 3.2, the

incidence of temporary employment among workers aged 65 and older is, at least, over

10 per cent in 20 OECD countries, and the rate in each country has been maintained a

significant level, despite a sharp or smooth fluctuation between 2000 and 2011.

Figure 3.9 Incidence of Temporary Employment by Age Group in OECD Countries, 2000-

2011 (%)

Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’

Figure 3.10 Incidence of Temporary Employment among Workers Aged 55-64 and 65+ by Sex in OECD Countries, 2001-2016 (%)

Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

15 to 24 24.3 23.3 23.5 23.7 23.9 25.1 25.5 25.6 25.1 24.9 25.4 25.3

25 to 54 8.8 8.7 8.9 9.1 9.2 9.8 10.0 10.0 9.8 9.6 9.7 9.9

55 to 64 8.8 8.6 8.7 8.8 8.9 8.8 8.9 9.0 8.8 9.0 9.1 9.1

65+ 18.4 17.3 17.6 17.5 17.2 16.8 17.7 18.1 18.1 19.9 19.3 19.5

0

5

10

15

20

25

30

15 to 24 25 to 54 55 to 64 65+

2001 2008 2011 2016 Men 7.8 8.3 8.8 7.9

Women 9.7 9.6 9.9 7.9

0

2

4

6

8

10

12 55-64

2001 2008 2011 2016 Men 18.1 18.5 19.2 17.1

Women 16.2 17.5 19.8 17.8

0

5

10

15

20

25 65+

46

Table 3.2 Temporary Employees Aged 55-64 and 65+ by Country in 2011

Temporary

employees aged 55-

64

Country Temporary employee

aged 65+

Country

Above the OECD

average, 9.1% (x ≥ 15%)

Chile, Japan, Korea,

Poland, Turkey

Above the OECD

average, 19.5% (x ≥ 30%)

Belgium, Czech Rep.,

France, Korea,

Netherlands, Poland,

Slovakia, Slovenia,

Sweden

About the OECD

average, 9.1%

(5% ≤ x < 15%)

Canada, Czech Rep.,

Filand, France, Greece,

Hungary, Iceland,

Ireland, Italy,

Netherlands, Portugal,

Slovakia, Slovenia,

Spain, Sweden, United

Kingdom

About the OECD

average, 19.5%

(10% ≤ x < 30%)

Canada, Chile, Finland,

Ireland, Itlay, Japan,

Portugal, Spain,

Switzerland, Turkey,

United Kingdom

Below the OECD

average, 9.1% (x <

5%)

Austria, Belgium,

Denmark, Estonia,

Germany, Norway,

Switzerland

Below the OECD

average, 19.5%

(x < 10%)

Austria, Denmark,

Estonia, Germany, Greece,

Hungary, Iceland, Norway

Source : OECD, Labour Force Statistics database, ‘Incidence of Permanent Temporary Employment’ Note: The data are not available for Australia, Israel, Mexico, New Zealand, and the United States.

Based on the Labour Force Survey (LFS) provided by Eurostat, older workers aged 55

and over in 25 European countries, which are mostly OECD members, are mainly

employed in ‘agriculture,’ ‘manufacturing,’ ‘whole sale and retail trade,’ ‘education’ and

‘health and social work’ in 2011 (Figure 3.11). Agriculture and education are typically

regarded as traditional sectors in which older workers are over-represented. However,

workers aged 65 and up unequivocally outnumbered other age groups in 2011 when it

comes to their employment share in agriculture while those aged 55-64 were the most

highly engaged in education in the year. Along with this, the significant portions of both

workers aged 55-64 and those aged 65 and over were working in‘whole sale and retail

trade’ and ‘health and social work’ in 2011. Except for education, the sectors in which

older workers are chiefly employed are regarded as those offering a high proportion of

low-wage jobs.

47

Figure 3.11 Sectoral Empolyment Structure by Sector and Age Group in EU 25, 2011 (%)

Source : Eurostat, LFS, NACE Rev. 2

Looking at the changes in sectoral employment by age group (Figure 3.12), the annual

employment of workers aged 55-64 had a relatively steep decline in ‘manufacturing’,

‘construction,’ ‘whole sale and retail trade’ and ‘agriculture and fishing’ between 2008

and 2011 whereas it increased in ‘health and social work activities’ by 1.3 percentage

points during the same period. The employment of workers aged 65 and older also

showed a significant drop in ‘agriculture and fishing,’ ‘manufacturing’ and ‘wholesale

and retail trade’ while it increased the most in ‘health and social work activities’ and

‘transportation, storage and communication’ by 1.6 and 0.8 percentage points

respectively between 2008 and 2011. A remarkable change in employment for this age

group is that the rate in ‘agriculture and fishing’ dramatically declined by 3.9 percentage

points during the period, which was not comparable with other sectors of industry and

the other older age group. In contrast with the significant drop in ‘agriculture and

fishing’ for the both older age groups, employment in ‘education’, another traditional

sector where older workers were regarded as over-represented, showed rises of 0.2 and

0.6 percentage points for the group of 55-64 and the one of 65 years and over,

respectively. Although they cannot be compared equally due to the limitation of data,

the analogous pattern of sectoral employment of older workers is observed in non-

European OECD countries. In New Zealand, older workers (55-64 years old) are mainly

Agricultur e, fishing

Manufact uring

Constructi on

Wholesale , retail trade

Transport ation,

storage, communic

ation

Accommo dation, food

service activities

Financial, insurance activities

Real estate

Public administr

ation, defence

Education

Health, social work

activities

Other services

15-24 2.8 14.1 8.2 21.7 6.0 10.2 2.3 0.5 3.9 4.0 9.1 3.2

25-54 3.4 16.2 7.5 13.5 8.5 4.1 3.3 0.8 7.4 7.5 10.7 2.4

55-64 5.5 14.4 6.7 11.6 7.1 3.2 2.7 1.1 8.6 9.8 12.3 2.5

65+ 17.4 7.9 5.3 13.7 6.0 3.8 1.4 2.1 3.2 6.3 9.2 4.3

0

5

10

15

20

25

15-24 25-54 55-64 65+

48

employed in health and social work, manufacturing, education and whole sale and retail

trade (15.4, 14.2, 13.2, 13.0 per cent, respectively) in 2008 (Boyd and Dixon, 2009).

Figure 3.12 Annual Employment Growth by Sector and Age Group in EU 25, 2008-2011

Source : Eurostat, LFS, NACE Rev. 2

Wage Levels

The age-earnings profiles describe the growth of earnings over the life cycle (Thornton,

Rodgers and Brookshire, 1997), and the most common specification found in the

literature shows an inverted U-shaped pattern between age and earnings. This takes the

form of increases in earnings in the early years, a peak at around middle age and a

decline around the age of 50-55 (Luong and Hebert, 2009; Casanova, 2013). This

pattern of the age-earnings profile can be interpreted, with caution, to mean that the

older employees aged over 50 years are more likely to be the low paid than their

younger colleagues. Under the conditon that there are a lack of data and research on

wages and earnings of older workers in an international context, the review of the

proportion of low-wage earners among older workers would be a way to assume their

relative wage levels.

Agricultur e, fishing

Manufact uring

Constructi on

Wholesal e, retail trade

Transport ation,

storage, communi

cation

Accommo dation, food

service activities

Financial, insurance activities

Real estate

Public administr

ation, defence

Education

Health, social work

activities

Other services

15-24 0.1 -2.1 -1.5 0.0 -0.3 0.9 -0.1 0.0 -0.1 0.7 1.5 -0.1

25-54 -0.1 -1.2 -0.9 -0.1 0.0 0.3 0.0 0.0 -0.1 0.3 0.7 0.0

55-64 -0.4 -1.0 -0.8 -0.5 -0.2 0.1 0.2 0.1 0.2 0.2 1.3 -0.3

65+ -3.9 -1.0 0.0 -0.6 0.8 -0.2 0.2 0.2 0.2 0.6 1.6 0.2

-5.0

-4.0

-3.0

-2.0

-1.0

0.0

1.0

2.0

15-24 25-54 55-64 65+

49

The definition of low pay most commonly used is a level equivalent to two-thirds of the

median wage for all employees in the economy (Grimshaw, 2011, p.3). The Structure of

Earnings Survey (SES) provided by the European Commission (EC) follows it, defining

low-wage workers as those employees earning two-thirds or less of the national median

gross hourly earnings (Eurostat, 2013). According to the survey, 14.5 per cent of EU

employees aged 50 years and over were low-wage earners in 2010. The highest

proportions of low-wage older earners were observed in Estonia (31.2%), Poland

(23.8%), Germany (20.8%), Slovakia (19.8%), Czech Republic (19.1%), Hungary

(18.7%) and the United Kingdom (18.3%), and the lowest were found in Turkey (0.2%),

Sweden (0.7%), Norway (1.3%), Denmark (3.7%), Finland (4.7%)), France (4.7%) and

Iceland (5.4%) (Figure 3.13).

Figure 3.13 Proportion of Low-Wage Earners by Age Group in EU Countries, 2010 (%)

Source : Eurostat, SES (earn_ses_pub1) Note: OECD member states only are presented, and the data are not available for Greece.

Low-wage earners aged 50 years and over in the EU 27 countries have increased by one

percentage point between 2006 and 2010 (Figure 3.14). This is a significant rise in

comparison to the increase of 0.2 percentage points in the proportion of total low-wage

earners in the EU countries in the same period (Eurostat, 2013). Except that noticeable

decreases in low-wage older workers were observed in Slovenia (-3.2 p.p.), Portugal (-

2.4 p.p.), Belgium (-2.3 p.p.) and Ireland (-1.0 p.p.) and France (-0.9 p.p.), and minor

EU 27 Austria Belgium CzechRep Denmar

k Estonia France Finland German

y Hungary Iceland Ireland Italy Luxemb

ourg Netherl

ands Norway Poland Portugal Slovenia Slovakia Spain Sweden Switzerl

and Turkey United Kingdo

m

Total 17.0 15.0 6.4 18.2 7.7 23.8 6.1 5.9 22.2 19.8 9.1 20.7 12.4 13.1 18.1 7.3 24.2 16.1 17.1 19.0 14.7 2.5 11.0 0.2 22.1

<30 30.4 24.3 15.3 21.1 27.8 21.3 12.4 13.2 38.1 23.1 22.5 39.4 25.0 22.7 46.1 26.2 31.3 25.0 24.3 20.9 23.3 9.5 21.2 0.2 40.6

30-49 13.7 11.9 4.7 16.6 5.6 19.1 5.0 4.2 18.0 19.4 6.6 17.4 11.6 11.0 8.0 2.3 21.8 14.2 16.4 18.0 13.6 1.0 8.9 0.2 14.7

50≤ 14.5 12.5 3.0 19.1 3.7 31.2 4.7 4.7 20.8 18.7 5.4 17.4 9.1 9.2 8.5 1.3 23.8 12.8 14.3 19.8 11.0 0.7 7.8 0.2 18.3

0 5

10 15 20 25 30 35 40 45 50

Total <30 30-49 50≤

50

declines, in Norway (-0.3 p.p.), the United Kingdom (-0.2 p.p.) and Luxembourg (-0.1

p.p.), increases in low-wage earners aged 50 years and older were found in fifteen

OECD member EU countries. Among the fifteen countries, Germany (+2.9 p.p.), Italy

(+2.6 p.p.) and Poland (+2.5 p.p.) recorded the highest rates of increase in the

proportion of low-wage earners aged 50 years and over between 2006 and 2010.

Figure 3.14 Changes in Proportion of Low-Wage Earners Aged 50+ in EU Countries, 2006-2010 (%)

Source : Eurostat, SES (earn_ses_pub1) Note: OECD member states only are presented, and the data are not available for Greece in 2010 and Switzerland in 2006.

A higher proportion of low-wage older earners is also found in non-European OECD

Countries. For example, 33 per cent of Canadian older workers over 65 earned less than

two-thirds of the national median hourly wage in 2011 (MacEwen, 2012). Also in the

United States, although a different definition of low pay is used, 34 per cent of workers

65 and older and 18 per cent of workers aged 55-64 were in low-wage jobs in 2010,

which were identified as those held by workers with hourly wages below the 20th

percentile of wages (GAO, 2011). According to a 2011 Government Accountability

Office (GAO) analysis of data from the Bureau of Labor Statistics (BLS) and Census

Bureau, there was no significant change between 2007 and 2010 in the percentage of

workers in low-wage jobs in any age group. South Korea has an even higher share of

low-wage older workers; 53.7 per cent of older workers aged 55-79 were the low paid in

2010, who were defined as those earning less than two-thirds of the national median

hourly wage (Jung, S-M, 2011). Although there was a minor decline (-0.3 p.p.) between

EU 27 Austria Belgium Czech Rep

Denma rk Estonia Finland France

Germa ny Greece

Hungar y Iceland Ireland Italy

Luxem bourg

Nether lands

Norwa y Poland

Portug al

Slovaki a

Sloveni a Spain

Swede n

Switzer land Turkey

United Kingdo

m

2006 13.5 10.9 5.3 17.7 3.4 29.6 3.7 5.6 17.9 6.7 17.6 5.1 18.4 6.5 9.3 7.1 1.6 21.3 15.2 18.7 17.5 10.2 0.4 - 0.2 18.5

2010 14.5 12.5 3.0 19.1 3.7 31.2 4.7 4.7 20.8 - 18.7 5.4 17.4 9.1 9.2 8.5 1.3 23.8 12.8 19.8 14.3 11.0 0.7 7.8 0.2 18.3

0 5

10 15 20 25 30 35

2006 2010

51

2006 and 2010, the figure is still high over the half of Korean older workers aged 55-79.

Apart from the main trend in the proportion of low-wage older workers, a large pay gap

between men and women is found among this group. Figure 3.15 shows the gender pay

gap among workers aged 55-64 and 65 years and older in twenty-three OECD member

EU countries. The gender pay gap here refers to the difference between average gross

hourly earnings of male paid employees and of female paid employees as a percentage

of average gross hourly earnings of male paid employees. Although the gender gap in

hourly earnings varied by country and a few exceptions were found, the rate of the

difference between men’s average hourly earnings and women’s relative to men’s

average hourly earnings ranged from 13.5 per cent to 36.3 per cent among workers aged

55-64 in 2010, except for the three extremely low or adverse cases of Italy, Poland and

Slovenia; and the rate for those aged 65 years and older, from 10.4 per cent to 45.1 per

cent in the year, except for the three cases of Poland, Slovenia and Slovakia in which

the rates were lower than ten per cent. This suggest that women are likely to form a

larger share of the low paid than men among older workers.

Figure 3.15 Gender Pay Gap among Older Workers Aged 55-64 and 65+ in EU Countries, 2010 (%)

Source: Eurostat, NACE Rev.2 (earn1_gr_gpgr2ag) Note: OECD member states only are presented, and the data are not available for thos aged 65 years and older in Belgium and Luxembourg.

Belgi um

Czech Repu blic

Denm ark

Germ any

Irelan d

Greec e

Spain Franc e

Italy Luxe

mbou rg

Hung ary

Neth erlan

ds

Austri a

Polan d

Portu gal

Slove nia

Slova kia

Finlan d

Swed en

Unite d

Kingd om

Icelan d

Norw ay

Switz erlan

d

55-64 17.6 15.2 16.5 27.5 20.4 19.1 23.7 22.7 3.9 21.6 19.7 24.4 36.3 3.5 9.7 -6.6 13.5 25.5 18.9 22.8 21.6 21.2 22.9

65+ 30.8 12.8 20.3 10.4 17.8 45.1 36.8 36.9 19.9 11.6 24.1 5.4 36.5 7.3 6.7 29.0 19.8 22.5 18.4 19.6 28.5

-10

0

10

20

30

40

50

52

Conclusion

This chapter reviewed older workers’ labour force participation rate and employment

rate, types of contracts and sectors that they were enagaed in, and their wage levels.

Despite the difference between countries in the level of labour force particiaption and

employment and in the steepness of their rises, the labour force participation rate and

the employment rate of older workers have visibly increased since the mid-1990s, in

genreal. However, older workers are more likely to be involved in part-time jobs and

employed in agriculture, manufacturing, whole sale and retail trade, education, and

health and social work. Except for agriculture in which the employment rate of older

workers have dramatically dropped and for education in which they are traditionally

over-represented, all the sectors in which older workers are mainly employed are those

with high proportions of low paid jobs. This is consistent with the fact that the

proportion of low-wage earners among workers aged 50 years and older has increased

significantly. In the following chapter, the review of the existing research about the

status of older workers in the labour market will be included to look at how the research

has developed and what has been focused on.

53

Chapter Four Older Workers: Labour Market Status and Minimum Wages

Introduction

As shown in Chapter Three, the labour market for older workers has been changing in a

direction that increases their vulnerability at the workplace. This raises the issue of

measures to relieve the expected disadvantages that older workers may face, and

accordingly, related policies, such as the minimum wage, and research on them are of

importance. However, with regard to the exclusive concern of this thesis on the

minimum wage, the combination of older workers and the minimum wage has been

rarely explored in research as mentioned earlier. This comes from the development of

different focuses in two research areas. This chapter reviews literature on the labour

market status of older workers and the effects of the minimum wage relating to them.

Through the review, it will be shown that the two research areas have long developed

apart from each other, and different research focus in each area has created an academic

vacuum between them. That is, research on older workers has focused exclusively on

employment issues, including retirement, and older workers have been almost out of

concern in research on the minimum wage effects which has concentrated on youth and

younger workers.

The Labour Market Status of Older Workers

Research Trend

Older workers as a group have been of research interest since the middle of the

twentieth century with the institutionalisation of retirement, a fairly new phenomenon

which characterised most industrialised nations and was reflected in the widespread exit

from the labour force within a relatively short age span and often prior to the loss of

indivduals’ physical or mental ability to remain gainfully employed (Szinovacz, 2003,

p.7). Although retirement existed in the pre-industrial peasant society, such withdrawal

54

from an active working life was confined, on the one hand, to the wealthy and powerful

who could afford to spend their later years in comfort and leisure (Macnicol, 2002,

p.20) and, on the other hand, to the disabled who were not able to work any more with

their physical incapacity. The age at retirement in the pre-industrial society was across a

wide range, and first and foremost, retirement had no place in traditional European

culture, where ‘the life cycle system consisted only of birth-marriage-death’ (Kohli,

1987, p.130). The notion of retirement emerged as industrial production became

noticeably more technology-intensive at the end of the nineteenth century and the small

family firms were replaced by the large bureaucratic unit of production (Macnicol,

2002). The technology-intensive production made labour market ‘tightened up with a

greater premium on youth, skills and adaptability, and thus older people were seen as

increasingly irrelevant to the labour process’ (Macnicol, 2002, p.5 & p.13). At the same

time, as large bureaucratic organisations ‘used more scientific management techniques,

including the rule of a fixed retirement age’ (Macnicol, 2002, p.19), older workers

began to be involved in involuntary retirement. Industrialism theory aptly addressed the

forces that had led to forced retirement of older workers in this early time period1, and

Pampel and Weiss (1983, pp. 354-355) briefly reviewed the components responsible for

this change: first, as developed countries transformed from a agricultural, self-employed

occupational structure to a wage and salary, bureaucratic one, workers who had been

able to choose how long they would remain at their job in the previous structure faced

formalised retirement rules based on chronological age in larger bureaucratic

organisations (Slavick, 1966; quoted in Pampel and Weiss, 1983); secondly, the

expansion of the education system in developed nations made older workers less

competitive in the labour market than younger workers who were likely to have

completed more years of schooling than earlier cohorts. Employers were likely to

require the retirement of older workers in order to take on younger workers with the

latest skills and knowledge (Clark, Kreps, and Spengler, 1978, quoted in Pampel and

Weiss, 1983); thirdly, given a higher proportion of aged persons in the population and

employers’ preference for younger workers, the increased number of older persons had

to compete for available jobs, and as a result, a lower share of older persons would have

been able to remain in the labour force (Cowgill, 1974; quoted in Pampel and Weiss,

1983); and fourthly, low demand for older workers reduced participation rates.

55

It is, however, only since the Second World War that retirement became the social norm

(Thane, 2006), which means retirement has been institutionalised and become a central

part of the life course in most developed, modern societies. This derived from the

development of state pension policy and social welfare although the normative

underpinning of retirement as an institution was also spurred by social and individual

attitudes on retirement and retirement age (Szinovacz, 2003). The pensions which were

initially introduced in Europe and Australasia in the late nineteenth and early twentieth

centuries provided minimal income to live on for some of those who had already been

forced by decrepitude to retire from gainful work, but they typically did not prohibit

earnings from work (Thane, 2006, pp.43-44). Before the Second World War, retirement

prior to physical incapacity was not a commonly anticipated phase of life-course;

however, as retirement income, mainly from pensions including postwar state and

occupational pensions, normally presumed and sometimes required that the pensioners

must retire from work, retirement at around the state pension age dramatically increased

in developed countries in the second half of the twentieth century (Thane, 2006, p.45).

The social policy explanation for the decline in the labour force participation of older

workers, in particular older males in developed countries, emphasizes four groups of

government policies which may have larger effects than economic growth variables in

the postwar period: it is likely that the higher the government expenditures for pension

and social insurance programmes per retired person, the lower the participation rate of

aged males; expenditures for nonretirement programmes, including medical welfare

payment, public housing, welfare programmes, income supplements for food and

energy, and various in-kind benefits, may also induce retirement; certain provisions of

pension programmes, such as lowering the age of eligibility for pensions or reducing the

benefits for those who continue to work after the age of eligibility, may increase the exit

from the labour maket among older workers, regardless of even controlling for the level

of pension and other government expenditures; and the number of years for which a

programme has been in existence and the extent to which the programme is recognised

as stable and reliable influence the retirement decision and the participation rate of older

workers (Pampel and Weiss, 1983, p.356). For female workers’s retirement behaviour,

there had been a long tendency that it was viewed based on established understanding of

men’s retirement. But, in relatively recent years, a variety of factors other than

56

government policies, including personal health, family and caring responsibilities,

financial issues, firms’ employment policies and discrimination, and institutional factors

that affect work and retirement decision, have been highlighted. This change is based on

consideration of women’s different career paths due to their status as an additional

earner in a household relating to marital status, ‘the different impact of family and

domestic responsibilies, and their relative underrepresentation at higher levels in

organisations’ (Duberley, Carmichael and Szmigin, 2014, p.71). The attention to

women’s more discontinuous and fragmented work histories has now led to stress on a

holistic research apporach to women’s work and retirement activities as Wong and Earl

(2011) argue. Since reseach on female workers’ retirement has been developed much

later than of male’s, it is more connected to the development of research on early

retirement and also on its reversal which are presented below.

The spread of retirement after the Second World War does not mean that it brought

about either social discouragement of working in old age or retirement-focused research

about older workers. The British government, for example, encouraged older workers to

stay on at work past the pensionable age until the early 1960s (Thane, 2006); and from

the late 1940s to the early 1960s, there were studies about older workers built around

theoretical models from social and occupational psychology and located in part in the

area of industrial gerontology (Phillipson, 2004, p.189) that focused on the problems of

older workers and conditions of work under which they can make optimum use of their

skills for higher productivity (Murrell, 1959, p.216). However, discussions in the 1960s

among most OECD countries identified older workers as a problem group at a time of

full employment. By the mid-1970s with demographic changes and the economic

recession in the years following the oil crisis, discrimination against older workers

became more pronounced by employers’ selective recruitment policies and selective

discriminatory dismissal practices (Casey and Bruche, 1983, p.2). Under these

circumstances, early retirement significantly started to be increased in most Western

societies and so did public and scientific attention to this issue (Hofacker, 2010, p.12).

Early retirement was widely supported by governments, trade unions, and employers ‘as

a means of coping with economic restructuring, workforce downsizing, and global

competition’ (Macnicol, 2008, p.581). However, the trend to early retirement resists

57

easy explanations that rely on social policy alone by constrasting ‘theories that focus on

the state as the key actor’ and explanations ‘that focus on actors in the economic sphere’

(Kohli and Rein, 1991, p.1). As implied in Kohli and Rein’s (1991) examination of the

evolution of early exit and the conditions, actors, and institutions which brought it

forth2, various factors, not from a single driving force but from multiple forcese in

difffernt levels, are indeed concerned in the explanation of early retirement. While very

few studies attempted to consider disparate causes at the same time, Walker’s study

(1985) about older workers and early retirement demonstrates the point well. He found

that ill health and redundancy were the major spur to early retirement; the demand for

older workers with specific skills and public attitudes such as official labour market

intermediaries’ in the job centres were crucial contributors to discouraging older

workers from searching for work and encouraging them finally to take early retirement

after prolonged unemployment; and the economic and social policy contexts influenced

taking early retirement. Furthermore, different factors at the individual, organisational,

institutional, and macroeconomic levels which explain the trend to early retirement

interact with each other, and their combined influence operates as ‘a social process of

exclusion’ (Walker, 1985, p.227) or potentially, as a process of integration of older

workers.

The full-fledged exploration of the position of older workers in the labour market, in

this regard, has begun with the attempts to explain early retirement but developed with

the transfer of research focus from retirement to employment. Since the mid-1990s,

early retirement has increasingly been considered as being financially unsustainable in

the face of the prospect of ageing in population and in the labour force, and older

workers’ participation in the labour market has gradually increased. Employment rates

among older workers have significantly risen since the turn of the millennium

(Hofäcker and Unt, 2013, p.164), and even after the global financial crisis in 2008, the

rates increased in some European countries. With reference to these trends, new

directions in research on older workers have emerged with the changing perspective

towards active ageing (Walker, 2006), bridge employment (Shultz, 2003, quoted in

Rocco and Thijssen, 2006), second careers (AARP, quoted in Lewis, 1996), and older

entrepreneurs (Minerd, 1999, quoted in Rocco and Thijssen, 2006). The concept of

58

active ageing which emerged in the early 1960s, stressing ‘the maintenance in old age

of the activity patterns and values typical of middle age’, ‘focused narrowly on the

production of goods and services’ in the 1980s and has developed ‘in the 1990s under

the influence of the World Health Organization (WHO)’ into one that emphasises ‘a

broad range of activities than those normally associated with production and the labour

market and inclusion of older people as full citizens’ (Walker, 2006, p.83-84). ‘Bridge

employment refers to the labour force participation patterns observed in older workers

between their career jobs and compete labour force withdrawal’ which allows them to

exit the labour force gradually (Shultz, 2003, p.215). Second career is in line with the

concept of bridge employment. But, it signifies a radical career change in later life

motivated not so much by money but by a strongly felt need to achieve a lifelong dream

or fulfil some inner goal (Lewis, 1996). The concept of older entrepreneurs stresses the

potential advantages for retirees to create their own business, such as hiring other

retirees and offering care services and organic products to younger generation. Although

all these concepts are not always confined to older people’s engagement in production,

they are chiefly based on ‘choices older workers make to remain within and not outside

of working life’ (Rocco and Thijssen, 2006, p.7). In the new directions of research on

older workers, factors accounting for retirement and early retirement explain older

workers’ employment, like the flipside of the same coin, as the polity encourages older

workers to remain in employment longer on the conceptual basis of those new

perspectives for reversing the trend to early retirement, and employers’ perceptions on

older workers gradually changes. This has broadened the spectrum of labour market

status of older workers from working full-time, working in a flexible form, looking for a

job but unemployed, tentatively retired without pensions to fully retired with pensions

or near pension age. Also, as the research focus has been transferred from retirement to

work, disadvantages and discriminations that older workers face in their working lives

seem to have been of more importance with regard to their status in the labour market.

This will be discussed in more detail later in this chapter.

59

Figure 4.1 Factors Influencing Labour Market Status of Older Workers

* De Vroom (2004, p.8) explains that ‘age-culture is the shorthand description of social norms, values, ideals or

perceptions in society that structure the ideas of the age-work relationships’.

What factors make a difference to the labour market status and experience among older

workers and how the factors are related to each other in influencing them are the main

questions in the research area of older workers in the labour market. Figure 4.1 shows

three types of critical factors which have been dealt with in this field, plus the influence

of changes in the macro-level context. The factors are interrelated within as well as

across supply-side, demand-side, policy-induced influence, and changes at the macro-

level and their combined influence typically regulates the status and experience of older

workers in the labour market, including employment, unemployment, earnings, and

mobility, as well as retirement.3 Note that older workers’ status and experience in the

labour market as a consequence of the practice in the labour market for older workers

potentially also affect the degree of influence of each factor affecting older workers’

status in the labour market and the dynamic between the factors in their combined

influence as indicated in Figure 4.1.

Demand-Side Factors Fixed costs & deferred pay Training Adaptability Productivity Employers’ attitude

Policy-Induced Factors Pensions & other benefits ‘Tax force’ Employment Protection Legislation (EPL)

Supply-Side Factors Health Financial situation Marital and family situation Tastes for leisure Attitudes of older workers to

employment

Work (full-time, flexible employment, unemployment, earnings, mobility)

or Retirement

Macro-Level Context Socio-Demographic Change, the State of the Economy & ‘Age Culture’*

60

Supply-Side Factors

The supply-side factors include individual characteristics, such as health status,

financial situation, marital and family situation, tastes for leisure, and attitudes of older

workers to employment. Numerous studies which have explored the personal

characteristics as major variables to influence older workers’experiences in the labour

market have shown that individuals’ health plays a decisive role in retirement and early

retirement (Heywood and Siebert, 2009, p.5). However, there is no apparent consensus

on the effect of self-reported health conditions on changes in employment status at older

ages. While Alavinia and Burdorf (2008) concluded in their analysis across European

countries4 that perceived poor health among persons aged 50-64 was strongly

associated with non-participating in the labour force due to early retirement, being

unemployed or being a homemaker, Blau and Shvydko (2011) showed in their US study

that among workers aged 51-72, 30 per cent of those whose health turned from good to

bad completely exited from the labour market while 15 per cent of individuals whose

health remained good did, but 69 per cent of exits from employment were individuals

whose health remained good whereas only 13 per cent of exits from employment were

associated with individuals’ decline in health from good to bad. Such inconsistency

suggests that health problems alone cannot explain ‘the abrupt transition to retirement’

(Heywood and Siebert, 2009, p.6), which, again, implies that health could be a push

factor for older workers to move toward another types of status in the labour market.

Zucchelli, Harris, and Zhao (2012) corroborates it in their findings for Australia that

health greatly influences cross-mobility between part-time, self-employment, and

inactivity, and both part-time and self-employment could be used as a bridge towards

permanent retirement by persons of ill-health even though health shock significantly

increases the probability of abrupt economic inactivity.

Financial situation, such as assets, pension wealth, and earnings, consistently predicts

retirement decisions as well (Gruber and Wise, 1999; Quinn, Burkhauser, and Myers,

1990; quoted in Wang and Shultz, 2010, p.185). In agreement with earlier research, De

Wind, Geuskens, Reeuwijk, Westerman, Ybema, Burdorf, Bongers, and Van der Beek

(2013) found in their qualitative study in the Netherlands that the financial situation and

expected income during retirement played a role in early retirement, highlighting the

61

different importance of financial factors between the different pathways to early

retirement in association with health status. Damman, Henkens, and Kalmijn (2011)

also showed in their Dutch study that men without a pension shortfall were more likely

to retire early, compared with those with one. However, the relationship between one’s

financial status and retirement decision is rather complicated (Wang and Shultz, 2010,

p.185). For instance, Wang, Zhan, Liu, and Shultz’s (2008, quoted in Wang and Shultz,

2010, p.185) longitudinal study which used the US data showed that retirees’ total

wealth was not able to predict the odds for retirees to take career bridge employment

against full retirement. The influence of financial situation becomes a little more

complex as well when it is combined with family care. If an individual is required to

take on a caregiving responsibility for a family member, this works as a push facor

toward retirement as explained below; but, the financial costs associated with a family

member’s illness or family financial obligations may preclude retirement. Damman,

Henkens, and Kalmijn (2011) found that the more financially dependent children older

men have, the less likely they retire early.

Marital status and family situation with regard to economic activity among older

workers have received relatively little attention in the literature on the labour market

participation of older workers (Lissenburgh and Smeaton, 2003; Szinovacz, 2003).

However, both are critical stimuli to changes in employment status of older workers,

providing a part of information on gender difference in retirement behaviour. Tanner

(1997) found from further analysis of the UK Retirement Survey that older women were

more likely than older men to say that they left employment before state pension age

because they wanted to retire at the same time as their partner. The result is consistent

with the findings from Szinovacz’s (2013) analysis of the US Health and Retirement

Study. She found that married women aged 50-64 were more likely than any other

marital status or men ‘to plan on stopping work in retirement and particularly less likely

to plan on working with reduced hours’ at old age (Szinovacz, 2013, p.1). But, Wang,

Zhan, Liu, and Shultz’s (2008) findings from the longitudinal US Health and Retirement

data do not support the predictive effect of marital status in differentiating full retirment

and general bridge employment. They explain that other aspects of family-related life,

such as spouse working status (Wang, 2007), may moderate the effect of marital status.

62

An alternative explanation may be that the predictive effect of marital status is not only

overshadowed by other predictors, including financial pressure or health considerations

(Barnes-Farrell, 2003, quoted in Wang, Zhan, Liu, and Shultz, 2008), but also

counterbalanced by no division of gender. On the other hand, family situation as a

variable that influences economic activity typically refers to the needs of family care.

Research on the relationship between work and care said that older women were most

likely to provide care for sick, disabled or elderly relatives, partners, children or

neighbours (Loretto, Vickerstaff, and White, 2005). According to the UK report by

Arrowsmith (2004), caregiving responsibilities are a key reason for the workless not

wanting a job or seeking work. It means that care is a contributor to discourage persons

who have once been out of employment with caring responsibilities to re-enter into the

labour market. However, comparing to marital status, family situation is associated

more with movement into flexible employment among older workers. Howard (2005)

and Mooney, Statham, and Simon (2002) suggested in their UK study that those who

combined employment and caring would welcome a range of flexible working options,

such as better access to flexible working hours, the opportunity to reduce working

hours, the right to time-off for caring responsibilities, and the ability to work from home

where feasible (quoted in Loretto, Vickerstaff, and White, 2005, p.43). Smeaton,

Vegeris, and Sahin-Dikmen (2009) also recognised in their UK analysis the likely

transition of older workers who had caring responsibilities to flexible working rather

than to complete withdrawal from the labour market; however, they pointed out that the

type of flexibility needed by carers for children and adults could differ significantly.

It is argued that the taste for leisure increases with age, and age per se is a strong

determinant of retirement controlling many other factors (Heywood and Siebert, 2009,

p.6). Scales and Scase (2000) and Phillipson (2004) suggested that people were

increasingly expecting to be able to enjoy their retirement, in which they would spend

pleasure time with their families, pursuit leisure interests, and leave behind the stress of

their working life (Loretto, Vickerstaff, and White, 2005, p.37). But, recent studies

conducted in the United States and the United Kingdom (McNair, Flynn, Owen,

Humphreys, and Woodfield, 2004; Smeaton, Vegeris, and Sahin-Dikmen, 2009; AARP,

2004; Lynch, 2006) found that the attitude of individual older workers to working for a

63

longer period was positive, and a considerable number of people, whether they were in

work or retired, wanted to continue to work in their later life, especially under a flexible

form. In the same vein, surveys which covered the attitude of older workers towards

working in later life in Bulgaria (Daskalova, 2007) and in Singapore (Lim, 2003)

observed that the majority of respondents preferred to continue working after

retirement. These incoherent results between the taste for leisure and preference for

working longer among older workers can be accounted for partly by the changes in law

which modify the taste. Gendell (2008) assumed that ‘the abolition of mandatory

retirement in the United States had a symbolic effect and confirmed the propriety of

continuing to work’ (quoted in Heywood and Siebert, 2009, p.6). Another possible

reason may be related to the facts that wages are considerably higher than pensions and

that longer employment enables workers to increase their pension as Daskalova (2007)

pointed out.

Demand-Side Factors

Although numerous studies have concentrated on supply-side factors that influence an

individual’s work/retirement decision, the labour market status of older workers is, in

practice, more restricted by demand-side factors, such as fixed costs, deferred pay,

training, adaptability, productivity, and employers’ attitude. Heywood and Siebert

(2009) give brief accounts and famous research examples of fixed costs and deferred

pay, and the main substance of the discussion here about each of the two factors is

borrowed from them. According to Hurd (1996, quoted in Heywood and Siebert, 2009,

p.6) who provided a comprehensive discussion of the fixed costs problem for older

workers, when firms hire, costs occur both when selecting and hiring workers to fill

jobs and when training the workers; and these costs are per head and make part-time

workers more expensive. Hurd (1996, quoted in Heywood and Siebert, 2009, p.7) also

addressed company health insurance premiums in addition to the fixed costs since the

premiums were charged on a per-worker basis rather than on a per-hour one. If older

workers wish to move into part-time work, they would have to accept a large reduction

in earnings to compensate for the job’s fixed costs; but, the reduction in pay may be

prohibited by anti-discrimination rules, and such wage inflexibility may lead to few new

64

part-time openings available (Heywood and Siebert, 2009, p.7). The problem of fixed

costs could explain a part of the reason why firms are put off older workers and of the

abruptness of the retirement transition (Heywood and Siebert, 2009, p.7). Deferred pay

in which employees are paid less than their marginal product earlier in the contract but

more later, and thus firms need to set a definite retirement date also deters firms from

hiring older workers because their shorter expected tenure makes them less motivated

by delayed compensation (Heywood and Siebert, 2009, pp.7-8). Several studies

‘support the predictions that deferred pay contracts give older workers less chance of

being hired and needs with mandatory retirement’ (Heywood and Siebert, 2009, p.8).

Hutchens’ famous early study (1986, quoted in Heywood and Siebert, 2009, p.8) found

that job opportunities for older workers were higher in occupations and industries in

which pensions, mandatory retirement, and tenure were lower, and delayed payment

contracts were not used. These results are confirmed in other US studies such as Scott,

Berger, and Garen (1995), Hirsch, Macpherson, and Hardy (2000) and Hu (2003)

(quoted in Daniel and Heywood, 2007). Daniel and Heywood (2007, quoted in

Heywood and Siebert, 2009, p.8) conducted a similar study for the United Kingdom and

found that ‘firms with pension provision, more steeply increasing wages, and with

longer tenure as expected with deferred compensation’ were less likely to hire older

workers. Comparable findings have been reported for Australia (Adams and Heywood,

2007), Germany (Heywood, Jirjahn, and Tsertsvardze, 2010), and Hong Kong

(Heywood, Ho, and Wei, 1999) (quoted in Heywood and Siebert, 2009).

Training is another demand-side factor influencing the status of older workers in the

labour market. Tikkanen, Lahn, Withnall, Ward, and Lyng’s (2002) case studies which

were added to WORKTOW, a multidisciplinary research project carried out in 27 small

and medium sized enterprises in the United Kingdom, Finland, and Norway showed that

work-based learning and training for older employees had the potential to improve

learning motivation, strengthen self-confidence and organisational commitment, and

improve the social climate in groups with mixed ages. Picchio and van Ours (2013) also

found, using data from the Netherlands, that on-the-job training significantly increased

future employment prospects even for older workers and argued that it suggested firm-

provided training may be an important instrument to retain older workers at work. The

65

problem is, however, that older employees to a lesser extent take part in training.

Wooden, VandenHeuvel, Cully, and Curtain (2001) identified six barriers to training for

older workers, including absense of paid work, learning capacity, education, uncertain

retirement age, employer discrimination, and self-discrimination. OECD (2011, p.74)

suggests not only that ‘employers and public employment services are less likely offer

training to older workers’ but also that ‘older workers are less willing to take up training

opportunities because the expected pay-back period on their investment in training is

shorter than for younger workers’.

Closely connected to skills and training, adaptability and productivity seem to be factors

that influence employers’ attitudes toward older workers rather than direct contributors

that affect the labour market status of older employees because studies of the two

factors have been based mostly on surveys of employers, managers, and foremen.

Adaptability of older workers is not a facet of employment which is amenable to

measure, but the general impression given by studies is that older workers have less

desire or ability to adapt to new methods of work (Makeham, 1980, p.21). In a survey

cited in the OECD (1967, quoted in Makeham, 1980, p.21), employers in the United

States rated their older employees less than satisfactory only on adaptability to change

among ten characteristics bearing on job performance. Aubert, Caroli, and Roger (2006)

asserted that older employees were far less likely to work in those positions or firms that

required the latest technological innovations. Meanwhile, given that older individuals

were less productive, earlier studies of relative productivity informed that despite a

slight decline in productivity with age, differences were greater within age groups than

between age groups. The US Department of Labor (1956; 1957) which studied eight

manufacturing establishments in footwear and men’s clothing during the pilot work and

twenty six establishments in footwear and household furniture during the extended

survey found that beyond the age of 55, performance declined by less than 10 per cent,

but there were considerable variations within each age group. The Canadian Department

of Labor’s (1959, p.3) study of retail trade also concluded that older employees’

performance appeared to ‘level off or decline slightly’. Findings from more recent

studies show that employers’ ratings on overall productivity of older workers varies by

country and stress differences in productivity at older ages by occupation. A

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comparative survey which was conducted among employers from Greece, Spain, the

Netherlands, and the United Kingdom by van Dalen, Henkens, and Schippers (2009)

found that only employers from the United Kingdom perceived older employees’

productivity to be higher than that of young workers, and employers in the Netherlands

had the most negative expectations regarding productivity of older workers. Also,

Skirbekk (2004) concludes through his literature survey that although individuals’ job

performance often decreases towards the end of one’s career, in particular when

problem solving, learning, and speed are important, older individuals maintain a

relatively high productivity level in work taskes where experience and verbal abilities

matter more.

There is substantial evidence that employers consider older workers to be more reliable,

more committed to the organisation and have better interpersonal skills (Taylor and

Walker, 1994; McGregor, 2001; IRS, 2003, quoted in Loretto and White, 2006;

McGregor and Gray, 2002; van Dalen, Henkens, and Schippers, 2009) while older

workers are also perceived to be inflexible, resist training, and are resistant to change

(Chiu, Chan, Snape, and Redman, 2001; Redman and Snape, 2002, quoted in Loretto

and White, 2006; McGregor and Gray, 2002; van Dalen, Henkens, and Schippers,

2009). However, there is relatively little knowledge about how employers’ perceptions

of various attributes older workers have influences their recruitment and retention

(Loretto and White, 2006). Taylor and Walker’s (1998) postal survey of large employers

in the United Kingdom, which was a prominent attempt to examine a causal link

between employers’ attitudes and their discriminatory practices towards older workers,

indicated that perceived productivity, reliability, ability to adapt to new technologies,

interest in technological change, and flexibility were not associated with recruitment,

training, and promotion practice while perceived trainability, creativity, cautiousness,

physical capabilities, the likelihood of having an accident, and ability to work with

younger workers were related with employment practices. However, in Loretto and

White’s (2006) qualitative study which was inspired by Taylor and Walker’s research

and conducted in Scotland, reliability, productivity, and flexibility were among the most

frequently mentioned by employers as the attributes associated with their employment

behaviour. One reason for the difference observed by Loretto and White was that

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different attributes were valued in orgranisations of different size.

The Role of Public Policy

Public policy makers have played important roles in influencing the participation of

older workers in the labour market, in both exit and retention. Public policy induced

early and on-time exit from the labour market during the two decades before the mid-

1990s. However, as the key theme of related policies has switched over in most

developed countries to a new line encouraging mature workers to remain in the labour

force, the impact of public policy on the status of older workers has entered another

phase. Public policies which exist in different countries and are involved in determining

the status of older workers in the labour market can be broadly grouped into two main

areas. One is old-age pensions and other parts of the tax and welfare system, which

mainly include public pension schemes, official early retirement schemes, implicit taxes

on continued work at older ages, de facto early retirememt schemes, and private pension

schemes (OECD, 2006a, p.52). The other is employment protection legislation (EPL),

including anti-age discrimination laws.

Pensions, Tax, and Other Welfare Benefits

Pension-related policies have provided financial incentives for older people to leave

work and disincentives for them to remain in or return to work through an ‘income

effect’ which refers to the tendency that ‘the higher are old-age pensions, the more

attractive retirement is’, and a ‘substitution effect’, which matters with regard to the

effect of ‘an extra year’s work to the flow of income both from earnings and from old-

age pensions and other benefits’ (OECD, 2006a, p.52). Recent pension reforms in many

countries, however, are seeking the dissolution or reversal of those effects and resulting

in lengthening working lives. Increases in the statutory pension age, improved provision

of financial incentives to work beyond pension age, and less or no early retirement

schemes have been largely taken up as measures for the aim (OECD, 2013b, p.23).

Table 4.1 which displays the current public and private, mandatory or quasi-mandatory

pension schemes in the OECD countries informs the specific strategies for the three

measures. In this part, the strategies and their effects will be briefly reviewed within the

68

scope of public pension schemes, private pension schemes, and early retirement

schemes.

Table 4.1 Pension Ages and Financial Work Incentives/Retirement Disincentives by Type of Scheme in OECD Countries

Schem e

Normal age

Incre- ase (%)

Early age

Reduct -ion (%)

Schem e

Normal age

Incre- ase (%)

Early age

Reduct -ion (%)

Austral ia

T DC

67 67

-

.. 60

-

Japan Basic/ DB

65 8.4 60 6.0

Austria DB 65 4.2 62 5.1 Korea DB 65 7.2 60 6.0 Belgiu

m DB 65 0 62 0 Luxem

bourg DB 65 .. 57/60 0

Canada Basic/ T

DB

67 65

7.2 8.4

.. 60

7.2

Mexico Min DC

65 65

0 -

60 any

age/60

0 -

Chile Basic/ T

DC

65 65/60

-

.. any age

-

Netherl ands

Basic 67 .. ..

Czech Republ

ic

DB 69* 6.0 64 3.6-5.6 New Zealan

d

Basic 65 .. ..

Denma rk

Basic/ T

DC

67 67

5.8 -

..

..

Norwa y

Min NDC/

DC

67 67

-

.. 62

-

Estonia Points DC

65 65

10.8 -

62 62

4.8 -

Poland NCD/ DC

67 - ..

Finland Min DB

65 68

7.2 4.8

63 63

4.8

Portug al

DB 65 4.0- 12.0

55 6.0

France DB DB(Oc

c)

67 67

5.0 0

62 60

5.0 4.0-7.0

Slovak Republ

ic

Points DC

67 67

6.0 -

65 65

6.5 -

Germa ny

Points 67 6.0 63 3.6 Sloveni a

DB 65 4.0 60 3.6

Greece DB 67 0 62 0/6.0 Spain DB 67 2.0-4.0 65 6.0-8.0 Hungar

y DB 65 6.0 .. Swede

n Min NDC DC

65 65 65

4.9-61

-

.. 61

55/61

4.1-4.7

- Iceland Basic/

T DB(Oc

c)

67 67

6.0

.. 65

7.0

Switzer land

DB DB(Oc

c)

65M/6 4F

65M/6 4F

5.2-6.3 4.5-5.0

63M/6 2F 58

6.8 6.35- 7.1

Ireland Basic/ T

68 .. .. Turkey DB 65 0 ..

Israel Basic/ T

DC

67M/6 4F 67

5.0 -

..

United Kingdo

m

Basic/ DB

68 10.4 ..

Italy NDC 67 - 62 - United States

DB 67 8.0 62 5.0/6.7

Source: OECD Pension at a Glance 2013, p.127 Note: DB = defined benefit; DC = defined contribution; Min = minimum benefit; NDC = notional defined contribution; Occ = occupational; T = targeted; .. = early retirement or deferral of pension is not available; - = benefits are automatically adjusted fore early or late retirement in DC scheme; Where pension ages for men and women differ they are shown as M/F. * The Czech Republic decided on an open-ended increase of pension age by two months per year (OECD, 2013b, p.9)

69

Public pension schemes

The main ways that public pensions affect individuals’ work/retirement decisions can be

summed up as the pension eligibility age, the generosity of pensions, and the degree of

flexibility in combining income from work and pensions (OECD, 2006a). In the last

decade, most of the 34 OECD countries have passed legislation to raise the pension age

or the contribution requirements that earn entitlement to full pension benefits (OECD,

2013b, p.23). As shown in Table 4.1, an official pension age of 67 is now becoming

more common, and some countries such as Czech Republic, Ireland and the United

Kingdom have gone even further, moving to 68 or 69 years (OECD, 2013b). The same

pension age for men and women has also come to be a clear trend across the OECD

countries, with exception only of Israel and Switzerland (OECD, 2013b).

Although there is little work on how a rise in the pension age affects the labour force

participation (Staubli and Zweimüller, 2013), increases in the pension eligibility age are

known to affect working longer. Gruber and Wise (2002) found from their analysis of

12 countries, Belgium, Canada, Denmark, France, Germany, Itlay, Japan, the

Netherlands, Spain, Sweden, the United Kingdom, and the United States with very

different social security programmes, labour market institutions, cultural histories, and

other social characteristics that raising the age of benefit eligibility by 3 years increased

the proportion of men aged 56-65 who were working by as much as 36 per cent over the

long run. They concluded that the state pension was clearly the key factor in enabling

and prompting people to retire, and a reform delaying benefit eligibility would reduce

the substantial proportion of men aged 56-65 out of the labour force. More recent

analysis that Mastrobuoni (2009) conducted in the US context showed that an increase

in the normal pension age by 2 months delayed effective retirement by around 1 month.

In response to the combination of lower mortality rate, higher life expectancy, and lower

fertility rate, many countries have also been cutting the benefits for the financial

sustainability of pension systems. Pension reforms in the OECD countries since the

early 1990s have reduced future public pension benefits on average by 20 per cent

(OECD, 2011). While some have done it by changing pension contribution rates or

financing mechanisms, such as building public pension reserves, others, by modifying

70

the calculation or indexation rules applicable to pension benefits under the existing

systems or even further transforming the entire systems, such as from a defined-benefit

(DB) scheme to a defined-contribution (DC) scheme or a notional defined-contribution

(NDC) scheme (Martin and Whitehouse, 2008). Overall pension benefit cuts may

prevent workers from retiring early and delay the timing of it to the official pension

eligibility age and over while more generous benefits work as a work disincentive.

Henseke (2011) observed among the OECD countries that, on average, countries with

relatively generous pension systems experienced lower employment rates among

persons aged 55-64, and more generous pension systems tended to lead to a more

noticeable decline in employment after the ages 55-59. Along with this, a large number

of the OECD countries have introduced benefit increments for deferral of pension take-

up and/or benefit penalties for retirement before the statutory or minimum pensionable

age as shown in Table 4.1 (OECD, 2013b). An extensive literature typically found that

changes in retirement benefits may have significant impacts on the timing of retirement

(Staubli and Zweimüller, 2013)5. However, compared to the benefit penalties for early

retirement, the pension increment may not have sizable influence on work incentives

when work and pension receipt after the normal pension age can be combined (OECD,

2013b). The financial penalties for early retirement and their effects will be discussed in

the section on early retirement schemes.

Apart from the pension eligibility age and the generosity of pension benefits, how other

institutional arrangements concerning pension receipts are set also influences working

after the normal pension age (OECD, 2006a, p.59). As shown in Table 4.2, a number of

countries have developed related rules to allow people to continue working and draw

pensions at the same time. However, some countries have limits to combining pension

receipts and working, paritcuarly during a period between a life-time job and full

retirement. In Poland and Slovenia, working while taking pension is simply not allowed

for workers below normal retirement age, and in Spain, pension benefits are reduced

according to the length of the working day if an individual below normal retirement age

combine working and pension receipt. In Austria and Germany, earnings from work

should be below a certain level for working individuals aged below 65 to receive full or

reduced pension benefits. These limits are typically not applied to workers aged 65 and

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Table 4.2 Limits to Combining Work and Pensions

Country Rule Country Rule Country Rule Austria Below 65: above EUR

349.01/month the pension is fully withdrawn Above 65: no limit

Germany Means-tested benefit for the over 64s: reduced by 30% of income earned if > EUR 180/month and fully withdrawn if income > of the full means-tested (i.e. EUR 180); For those aged below 65 on early statutory retirement: amounts exceeding EUR 400/month are deducted from pensions

Netherlands No limits

Belgium If above EUR 21,436.5 (single) the pension is reduced by the amount beyond the limit; If earnings are 15% above the threshold, the pension is fully withdrawn

Greece Possible after age 55; Limited if monthly pension income is below EUR 733, the pension in this case is reduced by 70% for evey extra euro

Poland Lmits below normal retirement age

Bulgaria No limits Hungary Limit: 18 times the minimum wage (EUR 6,027)

Portugal No limit, but working in the same company as before retirement is not allowed for three years after pension

Cyprus No limits Ireland No limit for the state pension (contributory)*

Romania It is only allowed to combine work and pension if pension is lower than the gross average wage (EUR 463/year)

Czech Republic

No limit; Additional annual 0.4% receiving full pension; There are restriction for early retirement

Italy No limits; however, other social benefits (i.e. disability) or survivors’ pensions are cut progressively if annual income is above EUR 23,826.40 or EUR 18,229.77, respectively

Slovak Republic

No limits

Denmark Partial means test of supplementary pension

Lavita No limits; the pension contribution rate is lower when combining work and pensions rather than for pension deferral

Slovenia Lmits below normal retirement age

Estonia No limits Lithuania No limits Spain Under 65: pension reduced according to the length of the working day

Finland No limits Luxembou rg

No limits;contribution paid when working are refunded at the end of the year

Sweden No limits

France No limits for the over- 65s and for those aged between 60 and 65 who have contributed for at least 40 years

Malta No limits; contribution rate: 10% of wage until 65 (then contribution stop)

UK Pension credit is reduced by full income receipt as long as income is below EUR 168.77/week

Source: OECD (2014b), p.102 * In Ireland, there was a limit to earnings from work as EUR 38/week under the state pension (transition) payable between 65 and 66; however, the state pension (transition) has been abolished in January, 2014.

72

over. This suggests that the limits ostensibly do not act as a work disincentive, at least

for those over the normal pension age. However, the limits to combining work and

pension receipt in early old age can prevent those aged 65 and over from working in as

much as an individual would hardly find a job after the normal pension age if s/he

stopped working for pension benefits before reaching pension age.

Private pension schemes

Private pension schemes play a large role in pension provision in a number of countries,

and these have been getting more important in recent years as pension reforms have

reduced public pension entitlements (OECD, 2006a; OECD, 2013b). According to

OECD (2013b), private pensions are mandatory or quasi-mandatory in 18 OECD

countries and cover almost or more than 70 per cent of the working age population in

Australia, Chile, Denmark, Estonia, Finland, Iceland, Israel, the Netherlands, Norway,

and Switzerland and more than 40 per cent in Mexico and Slovak Republic; in further

eight OECD countries, such as Belgium, Czech Republic, Germany, Iceland, Ireland,

New Zealand, the United Kingdom, and the United States, voluntary private pensions

cover more than 40 per cent of the working age population. Because of this trend,

private pension schemes can exert an significant influence on work/retirement decisions

(OECD, 2006a).

The ways that private pensions can affect individuals’ work/retirement decisions are

related to the earliest age at which benefits can be accessed and the replacement rate

which shows the level of pension entitlement in retirement relative to earnings when

working. The earliest age accessible to pension benefits vary by country and across

schemes even within a country but is typically governed by some minimum age that tax

regulations set up (OECD, 2006a, p.60). Deferring the age can exert pressure not only

upon workers’ work/retirement decisions but also on employers’ utilisation of private

pension for sheding older workers. Australia and the United Kingdom are adopting a

higher minimum age for private pension benefits. Gradual rises of the age are scheduled

in Australia over the period 2015-2025, and the United Kingdom raised the age from 50

to 55 in 2010 and will make a further increase from 55 to 57 in 2028. Besides the direct

way of increasing the minimum accessible age to pension benefits, there are indirect

73

measures which may virtually put off the age of retirement. In Australia, the upper age

limits for private pension compulsory contributions has been removed, and in

Luxembourg, the rate of increase in pension savings has been lowered (OECD, 2013b,

p.24). OECD (2013b, p.24) forecasts that if workers are to gain pensions at pre-reform

levels under such arrangements, they will need to pay contributions for three extra years

or accept an average entitlement in 2050 which will be approximately 12 per cent less

than the present one.

Replacement rates also differ from country to country and from scheme to scheme even

within a country. Among thirteen OECD countries, which have mandatory or quasi-

mandatory schemes, replacement rates from the schemes for average earners range from

22 per cent to 39 per cent in eight; but, the rates are much higher than the range in

Demark, Iceland, Israel, and the Netherlands and considerably lower in Norway

(OECD, 2013b, p.136). Since private pensions have been developed in many countries

as public pensions have been relatively small, replacement rates in private pensions may

significantly influence individuals’ retirement income and thus their retirement

decisions. Studies analysing labour market exit in the United Kingdom agree that a large

portion of workers with private pension schemes, including occupational pensions,

retire at age 55 when relatively generous benefits become available while workers are

not encouraged to retire early by the flat rate state retirement pension scheme (Oswald,

1999). Meanwhile, the type of private pension scheme can affect the timing of relevant

pension wealth accrual. Defined-contribution schemes that have become more prevalent

in recent years arguably tend to require more years on the job for pension entitlement

with an acceptable replacement rate than defined-benefit schemes because the former is

based on an individul’s amount of contribution and its investment performance while

the latter is tied to workers’ earnings, tenure of service, and age. Friedberg and Webb

(2005) found in the United States that workers with defined-contribution plans retired

two years later on average, compared to their counterparts with defined-benefit plans,

and argued that the changes in pension structure from defined-benefit schemes to

defined-contribution plans can help explain the rise in American retirement age. But, it

should be noted that the defined-contribution scheme is promoted for improving

financial sustainability rather than for encouraging working longer.

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Official early retirement schemes

Early exits from the labour market have occured mainly through provisions in the

pension systems, formal early retirement schemes, or other social transfer programmes,

such as disability or unemployment benefits (OECD, 2006a). Official early exit

provisions in the pension systems and formal early retirement schemes with relatively

low early pension eligibility age and generous entitlements were widespread across

countries in response to growing unemployment among younger people. But, their

effects which were below expectations with regard to umemployment have led to

reducing or abolishing the formal early retirement schemes, interlinking with rising

concerns about population ageing. As shown in Table 4.1, nine OECD countries,

including Denmark, Hungary, Ireland, Israel, the Netherlands, New Zealand, Poland,

Turkey, and the United Kingdom, do not allow early retirement in any mandatory part

of the pension systems while the majority of countries have replaced their arrangement

by increasing the early retirement age and reducing benefits. Meanwhile, the pathway

through disability or unemployment benefit systems, which is not an official form of

early retirement schemes, is still an effective route and will be dealth with in the section

of de facto early retirement schemes.

A series of previous studies on pension provision and retirement have agreed a sharp

increase in labour market exit at the age of first eligibility for retirement benefits

(Gruber and Wise, 1999). Given this empirical regularity, raising the early retirement

age is likely to be more effective in lengthening working life than increasing the normal

pension age. Using two pension reforms in Austria which increased the early retirement

age, Staubli and Zweimüller (2013) studied to what extent the increase in the early

retirement age turned out to be an effective tool to increase employment of older

workers and found that raising the early retirement age increased employment by 9.75

percentage points among affected men and by 11 percentage points among affected

women. Vestad (2013) who estimated labour supply effects of an early retirement

programme in Norway also had similar findings. If there had not been an early

retirement option, 50 per cent of early retired pensioners would be working at the age of

66.5, which is a little below the Norway retirement age, 67; and if the age limit for early

retirement had been 64 rather than 62, 70 per cent would be working at the age of 63.

75

On top of an increase in the early retirement age, the financial penalties for early

retirement are also likely to restrain workers from retiring earlier than, at least, the

normal retirement age. Hanel and Riphahn (2012) investigated how reduced benefits for

early retirement affected female workers’ retirement decisions after the 1991 reform of

the Switzerland mandatory retirement insurance and reported that reduction in benefits

by 3.4 per cent lowered the odds of retirement at age 62 from 46 per cent to 22 per cent.

‘Tax force’

‘Tax force’ is Gruber and Wise’s term referring to the ‘burden’ of implicit taxes on

continued work (Heywood and Siebert, 2009, p.9). If public retirement pension benefits

are raised, or eligibility ages, including early retirement/disability programmes, are

lowered, implicit taxes on working increases (Heywood and Siebert, 2009, p.9). Based

on their findings from the two consecutive analyses of eleven and twelve industrialised

countries, including Belgium, Canada, Denmark (included only in the second analysis),

France, Germany, Italy, Japan, the Netherlands, Spain, Sweden, the United Kingdom,

and the United States, for the period from the 1960s to the mid-1990s, Gruber and Wise

(1999; 2002) argued that there were a clear relationship between the public pension tax

on work and leaving from the labour force, which was largely causal. In a similar vein,

Duval (2003) estimated the implicit tax penalty of working an additional five years

among OECD countries and mainly found that changes in implicit tax rates and

standard retirement ages explained about one-third of the trend decline in older males’

participation in the OECD between 1970 and 2000 (Duval, 2003, p.22, quoted in

Heywood and Siebert, 2009, p.9). More specifically, the estimates suggested that in

several European countries, including Austria, Belgium, France, Finland, Germany,

Italy, and Luxembourg, there were substantial tax penalties to continuing to work after

the age of 60 and also that the tax penalties were closely interwinded with higher

probabilities of retirement before the age of 65 in those countries (OECD, 2006a, p.61).

Van Soest and Vonkova (2014, p.247) also found from their simulations with the Dutch

survey data that changing the rewards for delaying retirement from actuarially fair to 50

per cent of actuarially fair would lower the mean retirement age by 9.7 months.

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However, Engelhardt’s (2012) analysis using the first two waves (2004/05 and 2006/07)

of the Survey of Health, Ageing and Retirement in Europe (SHARE) for eleven

European countries, including Austria, Belgium, Denmark, France, Germany, Itlay, the

Netherlands, Spain, Sweden, Switzerland, and the United Kingdom, did not find any

significant effect of implicit tax rate on the exit from the labour market. Moreover, it is

questionable whether no large implicit tax on working beyond the pensionable age and

delaying the receipt of benefits substantially encourages older adults to continue to

work. Although Duval’(2003) estimates indicated that Demark, Iceland, New Zealand,

the Netherlands, and Turkey had around or below five per cent implicit tax on continued

work for five more years in early retirement route as well as in regular old-age pension

system in both 2007 and 2009 (OECD, 2014a, p.96), OECD’s (2012) Pensions and

Labour Market Statistics showed that the average effective age of retirement in

Denmark and the Netherlands fell short of the official retirement age whereas the age

was reasonably higher than the official one in Iceland, New Zealand, and Turkey, during

the period of 2006-2011(OECD, 2013c, p.22). Even where there are ‘actuarially

neutral’6 increases in pension entitlements for working extra years, a marked spike in

retirement may occur around the earliest age at which workers can receive a pension

(OECD, 2006a, p.57). According to OECD (2006a), the United States is a representative

case, and Hanel and Riphahn (2012) explains it as the possibility of unobserved

heterogeneity in preference for retirement which might influence both (dis)incentives

and responses to them.

De facto early retirement schemes

The empirical regularity with regard to labour market exit at the age of first eligibility

for retirement benefits sheds light on the odds that the abolition of official early

retirement schemes can lead people to seek another possible way to leave work earlier

than their normal retirement age with affordable financial benefits. This implies larger

spillover effects of reforming early retirement schemes on other non-pension benefits.

OECD (2006a) pointed it out that any efforts to reform formal incentive systems for

early retirement could not make its purpose if they were weakened by other non-pension

benefit programmes which allowed people to exit from work prematurely. In pracitce,

disability or unemployment benefits are often taken by workers as alternative routes

77

into early retirement, especially where the benefits are relatively easy to access (OECD,

2006a; 2011). Duval (2003) found from his research across the OECD countries that

social transfer programmes, including disability and unemployment benefits, had

sizeable effects on the departure of older male workers aged 55-59 from the labour

force. Staubli and Zweimüller (2013) found from their study on the effects of increased

early retirement age on employment of older workers in Austria that raising the early

retirement age had large spillover effects on the unemployment insurance programme.

Registered unemployment among men increased by 12.5 percentage points and among

women by 11.8 percentage points. Spillovers to the disability programme were

relatively small; however, low-wage and less healthy workers, in particular, retired early

through the disability programme or waited for being the new early retirement age with

receiving unemployment benefits.

Although there are some examples of efforts to tackle those de facto early retirement

schemes by tightening eligibility or restricting replacement rates, such as in Canada,

Denmark, Finland, Italy, the Netherlands, Norway, Sweden, and the United Kingdom,

the majority of countries have not made much progress in tackling the utilisation of the

non-pension benefits for early retirement, mainly due to political resistance to change in

those provisions for the vulnerable (OECD, 2006a).

Employment Protection Legislation (EPL)

Employment protection legislation in general

While pension and tax-related policies are more related to the supply-side of the labour

market in as much as they affect individuals’ work/retirement decision, employment

protection legislation, including anti-discrimination law, concerns the demand-side of

the labour market because it has influence on employers’ employment/dismissal

decision. Strict employment protection legislation can operate as a double-edged sword

in labour market outcomes for workers. On the one hand, the legislation may lead to

greater retention of workers because it raises firing costs; at the same time, it may

reduce the number of hires since it increases hiring costs as well; and as a result, the net

impact on employment rates is uncertain (OECD, 2006a, p.70). Daniel and Siebert’s

(2005) analysis conducted mostly in the UK and the US contexts found that stricter

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protection provisions tended to lower hiring rates at both ends of the age spectrum while

OECD (2004) suggested that the relationship between employment protection

legislation and labour market outcomes was less clear for older workers than for other

age and gender groups. Meanwhile, OECD (2011a) which used the index of the

strictness of employment protection legislation as set out in OECD (2004) and

compared the index with labour market outcomes for men aged 50-64, showed that

there was a strong negative relationship between employment protection and both

employment rates and hiring rates of older workers. However, OECD (2011a, p.73)

added that more rigorous studies which controlled for other factors affecting

employment rates of older workers, including OECD (2006b) and Dorn and Sousa-Poza

(2010), showed a much weaker relationship between employment protection and labour

market outcomes of older workers. Henseke (2011) also found that countries with

relatively rigid employment protection laws, along with relatively generous pension

systems, had lower employment rates among individuls aged 55-64, but a change just in

employment protection did not improve the employment of older workers as such.

Although stringent employment protection legislation reduces the odds of dismissal

among older workers, it, on the other hand, may raise unemployment duration of older

jobseekers because employers tend not to newly hire (Siebert, 2005; quoated in

Heywood and Siebert, 2009). While there are few studies on the relationship between

employment protection legislation and labour market outcomes of older workers,

research on the relationship between the legislation and unemployment has been

recently active. Daniel and Siebert’s (2005) work of the OECD countries showed the

prediction; and Bertola, Blau, and Kahn (2007) also found the same pattern (Heywood

and Siebert, 2009, p.11).

Anti-age discrimination legislation

Although legal provisons banning age discrimination have been introduced in a

considerable number of countries, such as Australia, Canada, Czech Republic,

Switzerland, the United Kingdom, and the United States, they are evaluated either not

very effective or insufficient (OECD, 2006a). Anti-age discrimination law is a form of

employment protection legislation, which also have two opposing effects on the status

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of workers in the labour market (Heywood and Siebert, 2009). Lahey’s (2008) results

from the United States showed that older white male workers in states with anti-age

discrimination laws were 0.2 percentage points less likely to be hired, worked 0.8-1.3

weeks less a year, were 0.5-0.7 percentage points more likely to report being retired,

and were 1.6-3.0 percentage points more likely to report that they were not employed,

compared to counterparts in states without the laws. Neumark and Button (2014) also

examined in the US context whether stronger age discrimination protections helped

older workers weather the Great Recession and found very little evidence for their

positive effects. Rather, they concluded that stronger age discrimination protections

were combined with more negative effects of the Great Recession. Lahey (2010) added

in her further research the point that the US anti-age discrimination legislation have

more recently acted as a means of keeping down the costs of entitlement programmes.

According to her, European anti-age discrimination legislation, with less enforcement

and more exemptions than the US one, could have smaller effects on employment

among older workers.

Some countries have directly addressed the labour market to increase the participation

rates of older workers by abolishing or increasing mandatory retirement ages (OECD,

2013b). In Australia, Canada, New Zealand, the United Kingdom, and the United States,

for example, mandatory retirement is prohibited at any age as a way of combating age

discrimination against older workers on the job market; and in France, Japan, and

Sweden, minimum permitted mandatory retirement ages have been raised (Wood,

Robertson, and Wintersgill, 2010, quoted in OECD, 2013a, p.85). According to a

comparative review of international approaches to mandatory retirement conducted by

Wood, Robertson, and Wintersgill (2010), anti-age discrimination legislation, with no

other supporting policies to pull in older workers, did not have a significant impact on

the participation rates of older people in the labour market. They found that employers

often thought prohibiting mandatory retirement would increase their costs while it was

not clear whether the prohibition would bring about actually the case, with the

exception of countries where seniority wages were common. However, their findings

suggested that age legislation could make employers to provide more opportunities and

flexible conditions for older workers to work longer through phased transition to

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retirement.

Age Discrimination in Working Life

The prevalence of early retirement brought about ‘an ‘early retirement culture’, which

involved a perception of early retirement as ‘normal’ practice incorporated into

individual retirement plans as well as companies’ policy, but also an increasing

emergence of negative age stereotypes’ (Hofäcker and Unt, 2013, pp.163-164).

Although early retirement has already been an outdated practice and working longer has

been encouraged by governments and become more acceptable in societies, employers’

perception and treatment of older workers has not changed very much. In this context,

disadvantages and discriminations that older workers face at the workplace can be an

index to inform of their status in the labour market.

There is a large volume of research in the field of age discrimination against older

workers at the workplace. Wood, Wilkinson, and Harcourt (2008) fully reviewed the

literature on this research area, and it would be useful to summarise their discussion for

an overview of it. They divided the existing research into three broad categories, ‘the

underlying causes and consequences of age discrimination at the workplace’, its ‘nature

and extent’, and ‘the effects of various governmental initiatives and policy options’

(Wood, Wilkinson, and Harcourt, 2008, p.426). Among the three, the review of research

on the effects of government initiatives and policy options is omitted in this section

because it was already discussed above. According to Wood, Wilkinson, and Harcourt

(2008), research which explores the causes and consequences of age discrimination at

the workplace is firmly based on theoretical perspectives, mainly neoliberal accounts

and political economy. There are three strands of neoliberal accounts: the first argues

that ‘older workers’ higher pay simply makes them less attractive to employers’; the

second suggests that older workers often return to the labour market to get insecure and

low paid jobs ‘as a lifestyle choice’; and the third argues that employers discriminate

against older workers due to their lack of information on older workers’ productivity

and reliance on ‘erroneous stereotypes’ (Wood, Wilkinson, and Harcourt, 2008, p.426).

Political economy accounts which focus on ‘the relationship between culture and,

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particularly institutions, in reinforcing age-based inequality at the workplace’ (Wood,

Wilkinson, and Harcourt, 2008, p.428) contend that older workers tend to bear in the

context of industrial change a proportion of ‘costs of periodic structural changes under

capitalism’, such as flexibility, leaner organisation, the fragmentation of the

employment relationship, and the changing sectoral composition, particularly because

‘it is more socially acceptable, even to the older workers themselves’ and also because

‘they are more easily persuaded and pressured’ to take the costs as Taylor and Walker

(1997, pp.307-308) note (Wood, Wilkinsion, and Harcourt, 2008, p.429).

The second category of research which informs of the nature and extent of age

discrimination at the workplace shows that older workers are more likely to be

discriminated against in recruiting and hiring (Urwin, 2004; Walker, 1993; Sargeant,

2001, quoted in Wood, Wilkinson, and Harcourt, 2008), redundancy situation

(Arrowsmith and McGoldrick, 1997; Sargeant, 2001; Walker, 2005, quoted in Wood,

Wilkinson, and Harcourt, 2008), and promotion and training (Walker, 1993, quoted in

Wood, Wilkinson, and Harcourt, 2008), also more likely to be dismissed as a result of

the negative perception of older employees held by managers (Johnson and Neumark,

1997, quoted in Wood, Wilkinson, and Harcourt, 2008), but less likely to find jobs while

leaving the labour force (Rix, 2005; McGregor and Gray, 2001, quoted in Wood,

Wilkinson, and Harcourt, 2008) and hence, more likely to exit the labour force

permanently as Neumark (2003, quoted in Wood, Wilkinson, and Harcourt, 2008) points

out. More critical literature argues that older workers often face an unfavourable ‘choice

between poverty and workplace discrimination’ (Wood, Wilkinson, and Harcourt, 2008,

p.432) as the costs of social welfare have increased with the population ageing. This

wide range of discrimination against older workers is characterised as being more

related to stereotypes, prejudice, and age culture combined with changes in

demographics and economic structure in as much as findings from a rich body of

research on the relationship between age and productivity, which has been regarded as a

prominent factor to explain older workers’ disadvantages at the workplace, are

inconsistent. Another nature of discrimination against older workers is that the

discrimination ‘can be concealed in a range of ways’ (Wood, Wilkinson, and Harcourt,

2008, p.435), for example, relating to equal opportunity in hiring, pay discrimination,

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and sectoral attributes, which force older employees out into retirement.

So far, research on older workers which illustrates their status in the labour market has

been reviewed. It suggests the fact that the research on older workers has focused

exclusively on employment issues, including hiring, dismissal, redundancy, retirement,

and discrimination, and also the one that older workers are likely to be vulnerable in the

labour market. This implies that there is a critical research vacuum in as much as older

workers’ vulnerability found in one dimension of their working life, such as

employment issues, is bound to lead to various dimensions, including wages and

earnings. That is, the need for research about the issues of wages and earnings and

policies relating to income from work among older workers, with a focus on their

vulnerability in the labour market is addressed. Studying the effect of the minimum

wage focusing on older workers may answer the need, in as much as the minimum wage

is a public policy which intervenes in wages and earnings for vulnerable workers in the

labour market. However, compared to an enormous amount of research about the effect

of the minimum wage, older workers tend to have long been ruled out in this research

field. This point will be shown in the following part of this chapter through a review of

studies which explored the effects of minimum wages focusing on older workers or

including them in their analysis. Note that the review in the following part of this

chapter is to provide an overview of the empirical studies and does not cover theoretical

literature which informs of major issues, assumptions, and hypotheses in the research

field of the effect of the minimum wage. The theoretical literature will be discussed in

Chapter Five where an alternative framework for understanding the effect of the

minimum wage is proposed alongside the research methods for this thesis. This

discussion will examine particularly the extent to which dominant theoretical accounts

deal with the issue of the minimum wage in terms of the ‘disruption’ made by its

introduction or uprating and presume actors’ rationality in the labour market.

83

Minimum Wages and Older Workers

Overview

The effect of the minimum wage has been intensively studied, particularly since the

renaissance of the minimum wage in the 1990s. The economy that the research covered

has also expanded from developed countries, including the United States and the United

Kingdom, to developing countries, especially Latin America, from that period.

However, the research about the effect of the minimum wage, which has been carried

out dominantly by economists, was mainly concerned with the aggregate effects for the

whole working-age population (aged 15-64) in a state, industry, or firm level, and a

significant number of them concentrated on youths and young workers under the age of

25. Fang and Gunderson’s (2009) work about the effects of minimum wages on

employment of older workers was the only study that focused on the impact on older

workers as they stated. It was recently followed by Lanot and Sousounis (2017) which

explored the degree of substitutability between labour inputs caused by the minimum

wage, paying special attention to older workers. Apart from these two that have

exclusive attention to older workers, a few studies linked the effects of the minimum

wage with older workers by including results for older workers as a part of their

analyses or through using advanced ages as a factor which may affect employment,

wage, income, and poverty. In this part, Fang and Gunderson’s (2009) and Lanot and

Sousounis’ (2017) works are first reviewed, and then the studies which linked the

effects with older workers will be surveyed (Table 4.3). This review aims to get an

overview of the scope and main findings of studies which have been done about the

effect of the minimum wage relating to older workers.

84

Table 4.3 Studies of Minimum Wage Effects and Older Workers

Study Minimum wage variation

Group Data Results in relation to older workers

Studies Focusing on the Effects on Older Workers Fang and Gunderson 2009

Provincial variation during 1993-1999

Older workers 50 years or older

SLID, 1993-1999 (Canada)

Statistically significant and positive effect on employment of older workers

Lanot and Sousounis 2017

National minimum wage rates during 1999- 2010

Various ages in low paying sectors

Quarterly LFS and ASHE, 1997-2010 (U.K.)

Statistically significant effect on changes to relative wages and relative wage bills but not to relative employment in the workforce age composition; No substitution between young workers aged 16-21 and older workers aged 55 and over

Studies Linking the Effects with Older Workers Employment Gramlich 1976

Federal minimum wage increases in 1961, 1967, and 1974

Teenagers and adult workers

U.S. Manpower Administration’s National Longitudinal Survey (quarterly), 1948-1975 (U.S.)

Rise in part-time employment for male workers aged 65 and over

Alpert and Guerard 1988

Federal minimum wage rates during 1965-1979

Nonwhites, teenageers, nonwhite teenagers and older workers aged 55 plus

Current Population Survey (monthly) 1965-1979 & 1980-1981 (U.S.)

Neither increase in unemployment nor decrease in employment for workers over age 55

Van Soest 1989

Simulated decline in statutory minimum wage

Various ages Socio Economic Panel (1st wave) 1984 (Netherlands)

Decrease in unemployment for both males and females aged 55-64 by 37% and 21%, respectively if minimum wage rate reduced by 10%

Dodson 2002

Kaitz minimum wage index (ratio of the federal minimum wages to the average hourly earnings for each industry at the county level)

Prime working age population (15-64)

Regional Economic Information System; West Virginia Bureau of Employment Programs, 1988-1995 (U.S.)

No significant correlation between the number of persons aged 65 plus and county-level employment

Phimister and Theodossion 2009

Introduction of national minimum wage in 1999

Men and women in various ages

BHPS 1992-1998, 1999-2005 (U.K.)

Significant increases in the high pay exit probability for men aged 45-56 while significant increase in unemployment probability for women aged 45- 56; reduction in expected duration of low pay spell for both

85

Study Minimum wage variation

Group Data Results in relation to older workers

Employment (Cont’) Comola and Mello 2011

Kaitz index (ratio of minimum-to- mean wage for formal-sector workers)

Indivuduals aged 15-65 in formal and informal sectors

National Labour Force Survey (Sakernas), 1996-2004 (Indonesia)

Significant and positive correlation between the population aged 56-65 and unemployment

Wage Mobility Smith and Vavrichek 1992

Federal minimum wage in 1981

Minimum wage workers 16 years or older

1984 & 1985 panels of Survey of Income and Program Participation, 1983-1987 (U.S.)

Older minimum wage workers aged 55 or older, less likely to experience a wage gain and more likely to experience smaller pay increase than young and middle-aged workers

Shannon 1996

Provincial minimum wages

Individuals aged 16-64 who held at least one paid job in 1986

Canadian Labour Market Activity Survey, 1986 (Canada)

Rise in wages with age up to age 55-64

Long 1999

Federal minimum wage in 1991 (or state minimum wages during 1991-1995, if higher)

Minimum wage workers 15 years or older

1992 & 1993 panels of Survey of Income and Program Participation, 1991-1995 (U.S.)

Older workers, least likely to experience real wage gains and move up the real earnings ladder

Income Inequality Volscho 2005 State minimum

wages in 1959, 1969, 1979, 1989, and 1999

Family income State and Metropolitan Area Data Books, 1979 1986, 1991, 1998

No significant effects of the percentage of the population aged 65 plus on family income inequality

Wu, Perloff and Golan 2006

Federal and state minimum wages during 1981-1997

Entire income distribution

March Current Population Survey, 1981-1997 (U.S.)

No significant effects of the percentage of the population aged 59 plus on income inequality in both urban and rural area

Poverty Sabia and Burkhauser 2010

State and federal minimum wage increases during 2003-2007; newly proposed federal minimum wage rate for next increase

Individuals aged 16-64 in household with income-to-needs ratio below 1.5

March Current Population Survey, 2004-2008 (U.S.)

No significant effect of the share of older individuals aged 55-64 on poverty

Campolieti, Gunderson and Lee 2012

Provincial minimum wage increases during 1997-2007

Individuals aged 16-64 in household with income-to-needs ratio below 1.5

Survey of Labour and Income Dynamics, 1997-2007 March LFS 2008 (Canada)

No significant effect of the percentage aged 54-64 on poverty

86

Studies Focusing on the Effects on Older Workers

The two studies which focused on the impacts on older workers of the minimum wage,

Fang and Gunderson’s (2009) and Lanot and Sousounis’ (2017) were mainly concerned

with their employment, even though the latter also includes the results of wages. Fang

and Gunderson (2009) carried out a study of the employment effects for workers aged

50 and over of minimum wage increases in different provincial jurisdictions. Using the

longitudinal data of the Survey of Labour and Income Dynamics in Canada for the

period of 1993-1999, they compared employment transition probabilities of workers

afftected by minimum wage increases with a range of comparison groups in which

individuals were in a juridiction that did not have a minimum wage increase but their

wage had one of a serious of increments above or shortfalls below the minimum wage

in their juridiction. The results showed that the minimum wage increases had

statistically significant and positive effects on the employment of older workers and the

effects were robust across various comparison groups and meaures of the minimum

wage increases. This finding was theoretically unexpected and against the adverse

effects which were widely found in the early research performed before the 1990s7.

Most of all, it was opposed to the negative impacts which were estimated for youths in

Canada based on the same period, specifications, and dataset in Campolieti, Fang, and

Gunderson’s (2005). Fang and Gunderson (2009) considered as likely reasons for the

unusual finding employers’efficient practices in other cost factors, employees’efficiency

wage response where the higher wages induced higher productivity, employers’

monopsonistic behaviour, publication bias, and the substitution effect, which, except for

publication bias, will be discussed in the theoretical literature review part of Chapter

Five. They argued that the substitution effect was the most credible because increases in

the employment of older workers could occur if employers substituted away from the

least productive workers towards the more productive when both were subject to a

minimum wage increase, in which case, the least productive were arguably teenagers

with few skills and little experience, and those more productive were arguably older

workers with considerable experience (Fang and Gunderson, 2009, p.385).

The substitutability between younger and older workers in low paying jobs, however,

was not supported by succeeding work which paid special attention to the effects on

87

older workers of the minimum wage. Lanot and Sousounis (2017) studied the effect of

the National Minimum Wage on the workforce age composition within the low paying

sectors of the British economy, using two pseudo panels which were constructed from

each of the UK Quarterly Labour Force Survey (LFS) and the Annual Survey of Hours

and Earnings (ASHE) over the period of 1997-2010. They estimated the effects of the

fraction of those affected by the minimum wage in each age band (16-17 year olds, 18-

20 year olds, 21 year olds, and 22-54 year olds) on the changes to wages, wage bills,

and employment of each age group relative to older workers aged 55 and over and then

measured the elasticity of substitution between the four younger age groups and older

workers. The results showed that the introduction and the regular upratings of the UK

National Minimum Wage had a significant effect on the changes to the relative wages

and to the relative wage bills but not to relative employment and also that the elasticity

of substitution was close to zero between young workers aged 18-20 and older workers

aged 55 and over and around 0.79 between those aged 22-54 and older workers. Lanot

and Sousounis (2017) concluded that the results implied significant complementarity

between younger and old employees. Unlike Fang and Gunderson’s (2009), Lanot and

Sousounis’ (2017) research does not provide a direct evidence of the employment effect

for older workers. However, their findings inform that the employment of older workers

is likely to be affected by the minimum wage independent of the employment effects for

other age groups.

In sum, the two empirical studies which focused on or paid special attention to the

impact of the minimum wage on older workers were mainly interested in the issue of

employment, and their findings were theoretically unexpected in as much as the positive

employment effect was not predicted by the dominant economic theory of the minimum

wage, on the one hand, and as the substitution effect which was a possible account

supported by the mainstream theory for the positive employment effect for older

workers was betrayed, on the other hand. This existing evidence may address the needs

of accumulating more empirical evidence, enlarging the subject matter other than

employment, and seeking an alternative explanation based on the review of establisehd

theoretical accounts.

88

Studies Linking the Effects with Older Workers

As mentioned earlier, there are a few studies which linked the effects of minimum

wages with older workers. Some of them incorporated the results for older workers as a

part of their analysis, and others included older people in their analysis for controlling

the demographic effect or testing age effects. Compared to the studies which focused on

the impact on older workers, the findings from the ones which linked the effects with

older workers cover relatively a variety of subject matter, including employment, wage,

income, and poverty.

Employment

Gramlich (1976) addressed the issue of whether prevailing estimates of disemployment

were high enough to make low-wage workers worse off from increases in the minimum

wage and examined the impact of minimum wages on the wage structure, employment

demands, and family income distribution, using the US Manpower Administration’s

National Longitudinal Survey for the period of 1948-1975. He mainly found that as a

minimum wage increased beyond the range of 40 to 50 per cent of the median wage,

more workers were likely to lose their jobs or have to take part-time jobs, and higher

income families were more likely to benefit from the increase. Particularly for older

workers, he indicated that increases in the minimum wage resulted in a rise in part-time

employment for male workers aged 65 and over. Meanwhile, Alpert and Guerard (1988)

investigated the relationship between employment, unemployment, and the minimum

wage, using the US Current Population Survey for the period of 1965-1981, and found

that an increase in the minimum wage neither increased unemployment nor reduced

employment for workers aged 55 and over in the same way as for other workers, except

male teenagers aged 16-19 years and non-white males over the age of 20. Phimister and

Theodossiou (2009) included the results for workers aged 45-56. They examined gender

differences in the duration of low pay employment spells prior to and after the

introduction of the UK National Minimum Wage in 1999. Their findings showed that

the effects of many covariates on the expected duration, including age and education,

were often less for women than men, and the differences generally declined after the

introduction of the minimum wage. Especially for those aged 45-56, it was reported that

89

among male workers, the high pay exit probability significantly increased,

unemployment probability was flat, and the expected duration of low pay employment

spell was much reduced after the introduction of minimum wage, whereas among

female counterparts, the high pay exit probability decreased, unemployment probability

increased, and the expected duration was reduced.

Other studies on the employment effects of minimum wages used the older population

aged 50 or older as a control indicator of demographic effects or an explanatory variable

for age effects. That is, advanced age was assumed to be a socioeconomic factor that

affected labour market outcomes rather than a target age group to be explored. Van

Soest (1989) analysed the impact of minimum wage regulations in the Dutch labour

market, following the two-equations model introduced by Meyer and Wise8 which was

composed of a wage equation and an equation to explain labour market participation. In

the model, the wage equation assumed that, in absence of minimum wage regulations,

the hourly before-tax rate equaled the worker’s marginal net productivity, which

depended on personal characteristics (p.280), and individuals’ age and elderly status

(age of 65 and older) were used as explanatory variables for the wage and employment

equations. The model was estimated with data from the first wave of the Socio

Economic Panel collected by the Dutch Central Bureau of Statistics (CBS) in 1984. The

estimation results from the two-equations model showed that, for older people,

productivity decreased with age, which thus had negative impact on their wage rates,

and also participation probability fell with age although there was a big gap in absolute

values between men and women. Then, the estimation results were used for simulating

the case that all minimum wage rates were reduced by 10 per cent. Van Soest (1989)

found that a 10 per cent reduction of before-tax minimum wage rates would lead to a 28

per cent decrease of involuntary unemployment which was explained by the gap

between productivity and the minimum wage rate. Particularly for older workers, the

reduction of minimum wage rates by 10 per cent would decrease by 37 per cent and

20.8 per cent of involuntary unemployment for males and females aged 55-64,

respectively and 5.5 per cent and 13.6 per cent for each counterpart aged 65 and older.

90

Dodson (2002) also used the older population aged 65 and older as an independent

variable in his study on the employment effect of minimum wages in West Virginia. He

reported that the number of persons aged 65 and older was not significantly correlated

with county-level employment. However, the estimation results for older workers were

not specified because the main concern of the study was the effects on the ratio of total

county employment to the county population aged 15-64. In Comola and Mello’s (2011)

research, the share of the population aged 56-65 was used as one of the controls. They

studied how decentralized minimum wage setting would affect unemployment, formal-

sector employment, and the incidence of informality in Indonesian urban areas, and

mainly found that an increase in the Kaitz index, the ratio of the minimum wage to the

average wage of the working population, destroyed jobs in the formal sector, but those

job losses were more than compensated for by the expansion of the informal sector.

Their findings included the results that, for the entire working-age (15-65 years)

population, the Kaitz index was negatively signed and statistically significant in the

unemployment equation while the share of the population aged 56-65 years is positively

significant in the equation, and further that the positive demographic effect on

unemployment was much greater in magnitude per unit change than the negative effect

of changes in the Kaitz index.

Wage Mobility

Smith and Vavrichek (1992) examined the earnings mobility of workers employed at the

minimum wage in the United States, using longitudinal data from the 1984 and 1985

panels of the Survey of Income and Program Participation for the period of 1983-1987.

They found that 63 per cent of workers who were earning the minimum wage in the

mid-1980s were earning higher wages one year later, with a typical increase amounting

to almost 20 per cent, but a significant number of workers who mostly did not have a

high school diploma or worked on a part-time basis did not advance beyond the

minimum wage during the observed period of time. More specifically relating to older

workers, results indicated that minimum wage workers aged 55 or older were less likely

to experince a wage gain during the mid-1980s and their pay increases were smaller

than young and middle-aged workers. Their findings are consistent with Long (1999).

Using data from the 1992 and 1993 panels of the Survey of Income and Program

91

Participation for the period of 1991-1995, Long (1999) also analysed earnings mobility

among persons employed in minimum wage jobs in the United States and confirmed

many of the findings reported by Smith and Vavrichek (1992). Results showed that

older workers aged 55 and over were the least likely to experience a real wage increase

whereas about 64 per cent of minimum wage workers were paid a higher wage in real

terms one year later, with the 30 per cent average increase in pay. In neither of the two

studies was there further discussion on why the wage growth among older minimum

wage workers was exclusively lower than the one of young and middle-aged workers

employed in minimum wage jobs. Instead, they commonly regarded elderly status as

one of the traits that affected the size of real wage gains within one or two year after a

minimum wage increase. Shannon (1996) also used age dummy, including age group

55-64, as a regressor in his study on the effects of provincial minimum wages on the

size and composition of the gender wage gap in Canada. He found from the analysis of

the Canadian Labour Market Activity Survey for 1986 that minimum wages reduced the

wage gap substantially for young workers aged 16-24 and less so for adults aged 25-64,

which was most attributable to the adverse employment effects of minimum wages, and

wages rose with age up to the age band 55-64.

Income Inequality

A minority of studies about the effects of minimum wages on income inequality

included the proportion of older population as an explanatory variable or a control of

demographic characteristics, but none specified the effects of minimum wages for older

persons. Volscho (2005) studied the effects of state minimum wages on family income

inequality in the United States and used the percentage of older persons aged 65 and

over as a control variable. Using decennial state data covering 1960-2000, he tested the

hypothesis that states with higher minimum wages had lower levels of family income

inequality. Results showed that, although the relation between the minimum wage and

income inequality was non-linear, the state minimum wage over a certain level reduced

family income inequality, and there was no significant effect of older population. With

regard to the effect of older population, Wu, Perloff, and Golan (2006) found the same

result. Using Current Population Survey data for the period of 1981-1997, they

examined the effect of income tax rates, the minimum wage, and all the major

92

government welfare and transfer programmes on the evolution of income inequality for

urban and rural areas by state in the United States. In the study, they used the percentage

of population aged 59 or older as an independent variable and found that the age

variable did not have statistically significant effects on income inequality in both urban

and rural areas while increases in minimum wages raised both pre-tax and post-tax

income inequality only in urban area.

Poverty

As with the studies about the effects on income inequality, a small number of studies

which explored the effects of minimum wages on poverty reduction used the share of

older individuals as one of time-varying socioleconomic controls, and none specified

the effects of minimum wages for older people. Using data from the March Current

Population Survey, Sabia and Burkhauser (2010) mainly found that state and federal

minimum wage increases between 2003 and 2007 had no effect on state poverty rates in

the United States, and a proposed increase in federal minimum wage from $7.25 to

$9.50 would be more poorly targeted to the working poor than was the last federal

increase from $5.15 to $7.25 when simulating the case. In this study, it was indicated

that the percentage of older individuals aged 54-64 had statistically insignificant effects

on poverty rates both of all individuals and of working individuals. Meanwhile,

Campolieti, Gunderson, and Lee (2012) estimated the effect on poverty for Canada

using data from the Survey of Labour and Income Dynamics for the period of 1997-

2007. Their main findings showed that minimum wages did not have a statistically

significant effect on poverty, and only 30 per cent of the net earnings gain from

minimum wage increases would go to the poor while about 70 per cent spill over into

the non-poor. However, this study was consistent with Sabia and Burkhauser (2010) in

terms of statistically non-significant effect of the share of older individuals aged 54-64.

Conclusion

This chapter reviewed two research fields, research about the status of older workers in

the labour market and research about the effect of the minimum wage, with special

attention to older workers, in as much as they dealt with one of the two axes in subject

93

matter for this thesis. The review suggests that the two research fields have developed

apart from each other with no apparent common interest. Research about the labour

market status of older workers has focused exclusively on employment issues, including

hiring, dismissal, redundancy, retirement, and discrimination. This informs of older

workers’ vulnerability in the labour market and, at the same time, addresses the need for

research about the issues of wages, earnings, and policies relating to income from work

among older workers, with a focus on their vulnerability. Research about the effect of

the minimum wage may answer the need in as much as the minimum wage is a public

policy that intervenes in wages and earnings for vulnerable workers in the labour

market. But, despite an enormous amount of work in research about the effect of the

minimum wage, older workers have long been ruled out in the research field. Very few

empirical studies focused on or paid special attention to the impact of the minimum

wage on older workers, having the main interest in the issue of employment. A minority

of studies incorporated the results for older workers as a part of their analysis, and a few

others included older people in their studies only for controlling the demographic effect

and testing age effects. The findings from the very few studies showed that the effects

of the minimum wage for older workers were theoretically unexpected and hard to

understand within the mainstream theory of the minimum wage.

As noted earlier, the existing empirical evidence on the effect of the minimum wage on

older workers addresses the need to gain more empirical evidence, enlarge the subject

matter other than the issue of employment, and seek an alternative explanation based on

the review of established theoretical accounts. Aiming at responding to this need

through the later parts of this thesis, the following chapter will discuss a variety of

theoretical perspectives of the minimum wage and then develop a research design for

this thesis.

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Notes

1 The industrialism theory argues that the effect of public pension policy is limited, stressing the effects of economic growth. However, determinants to explain the labour force participation of older population may change over time. According to Pampel and Weiss (1983), economic growth is the best predictor of the labour force participation during the early time periods whereas for later time periods pension programmes may have larger effects on the participation than economic development variables. 2 The results of their examination pointed to the structural conditions of work organisation and economic actors as the main driving forces of early retirement. 3 The basic idea of Figure 4.1 was derived from Szinovacz’s (2003, p.23) ‘retirement decision process.’ 4 Austria, Denmark, France, Germany, Greece, Italy, the Netherlands, Spain, Sweden, and Switzerland were included in the analysis. 5 See Burtless, G. (1986). Social security, unanticipated benefit increases, and the timing of retirement. The Review of Economic Studies, 53(5), 781-805; Krueger, A. B. and Pischke, J. (1992). The effect of social security on labour supply: A cohort analysis of the Notch generation. Journal of Labour Economics, 10, 412-437; Borsch-Supan, A. and Schnabel, R. (1998). Social security and declining labor-force participation in Germany. American Economic Review, 88(2), 173-178; Coile, C. C. and Gruber, J. (2007). Future social security and entitlements and the retirement decision. Review of Economic Studies, 89(2), 234-246; Liebman, J. B., Luttmer, E. F. P., and Seif, D. G. (2009). Labour supply responses to marginal Social Security benefits: Evidence from discontinuities. Journal of Public Economics, 93, 1208-1223; and Manoli, D. and Weber, A. (2010). International substitution in labor force participation: Evidence from policy discontinuities. IZA Discussion Paper No. 5248. All were quoted in Staubli and Zweimüller (2013, p.18). 6 According to Queisser and Whitehouse (2006), ‘actuarial’ has been increasingly used in the analysis of pension systems and retirement incentives. They discuss two actuarial concepts, ‘actuarial fairness’ and ‘actuarial neutrality,’ and define them as in the following:

‘Actuarial fairness, which requires that the present value of lifetime contributions equals the present value of lifetime benefits. Actuarial fairness relates to the entire lifetime of contributions and benefits.’; ‘Actuarial neutrality, which requires that the present value of accrued pension benefits for working an additional year is the same as the year before (meaning that benefits increase only by the additional entitlement earned in that year). Conversely, retiring a year earlier should reduce the pension benefit both by the entitlement that would have been earned during the year and by an amount to reflect the longer duration for which the pension must be paid. Actuarial neutrality is a marginal concept, relating to the effect of working an additional year.’ (Queisser and Whitehouse, 2006, p.4)

‘Actuarial neutral’ in this thesis is loosely used for meaning no implicit tax on working beyond the pension eligibility age.

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7 The first-generation studies are well described in Card and Krueger’s (1995), and the new generation ones published since the 1990s are comprehensively reviewed in Newmark and Wascher’s (2008). 8 Meyer, R. and Wise, D. (1983). The effects of the minimum wage on the employment and earnings of youth. Journal of Labor Economics, I, pp. 66-100.

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Chapter Five Theoretical Framework and Research Methods

Introduction

Studies about the effect of the minimum wage rely primarily on mainstream economics.

The neoclassical paradigm has long dominated ideas about the effects, and orthodox

neoclassical models portray that the minimum wage entails adverse employment effects

and is an ineffective social policy tool for helping poor families (Neumark and Wascher,

2008, p.249). However, as the disemployment effect has not been supported by many of

empirical studies, monopsony models which modify the key assumptions embedded in

the neoclassical model have expanded the explanatory power of the economic theory,

opening the door for positive or neutral employment effects. Meanwhile, the Keynesian

paradigm, which supports government interventions in response to market failure in

contrast with the neoclassical perspective, has emerged in recent years as an alternative

economic approach for research on the effects of minimum wages. This perspective

argues that the minimum wage would stabilise the macroeconomic conditions,

preventing deflationary development, especially in period of economic crisis and under

weak union power, and helping to create a more equal income distribution with changes

in the structure of wages and the distribution within the working class (Herr,

Kazandziska and Mahnkopf-Praprotnik, 2009). However, both the neoclassical view

and the Keynesian approach rules out the political nature of the minimum wage from its

explanation by excluding political means from government interventions. Relatively

rare as they are, other alternative explanations can be sought in political economy

perspective. A problem of the political economy approach to the minimum wage is that

they are concerned with what other factors than economic ones make people support or

oppose the minimum wage rather than how the minimum wage affects workers.

The first part of this chapter discusses those existing theories of the minimum wage and

seeks an alternative theoretical framework for an enhanced understanding of the effects

of the minimum wage which contains both political and economic attributes as a public

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policy. As mentioned in Chapter Four, the discussion of the existing theories aims at

being advised of the extent to which they deal with the issue of the minimum wage in

terms of the ‘disruption’ made by its introduction or uprating and assume its

stakeholders’ rationality in the labour market, and thus at providing leads for seeking an

alternative framework founded on practical limitations of the existing theories. Then,

the second part develops a research design outlining research methods, data, and

analyses procedures, which are employed in later chapters of this thesis. In this part, the

necessity to employ a contextual analysis with qualitative data is argued, in that the

alternative theoretical framework sought in the first part of this chapter allows for the

influence of political attributes of minimum wage policy on top of its economic ones.

Economic Effects of Minimum Wages in the Neoclassical Paradigm1

Distribution Effects

Compared to the elaboration for the employment effect which will be presented in the

following section, the theoretical account of the effect of the minimum wage on the

wage distribution has been relatively less advanced. However, economic theory

grounded in the neoclassical paradigm predicts that minimum wages bring about mainly

two effects in the wage distribution, a spike and spillovers. If it is adequately enforced

and complied with, the minimum wage will cut off or thin out the lower part of the

wage distribution (Neumark and Wascher, 2008, p.107). This causes wages initially

below the minimum wage either to disappear or to push them up to the new minimum

wage, creating a spike at the minimum (Dittrich, Knabe, and Leipold, 2014, p.792).

Also, an increase in the minimum wage can lead to changes in the wage interval above

the minimum wage for several reasons. The simplest neoclassical models which

assumes two types of labour, skilled labour and unskilled labour, or only one type of

skill with different degrees of it among workers, does not suggest a spike in the wage

distribution but predicts a wage boost for workers already paid above the minimum

wage through the substitution of skilled workers or those with more skill for unskilled

workers or those with less skill. However, in response to the spike of the wage

distribution observed at the minimum wage and the spillover found more noticeably in

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wages only a little higher than the minimum, the model developed by Pettengill2

explains the spike either as a result of the fall in employment of workers directly

affected by the minimum wage until the marginal revenue product of workers in that

group increases to the point that it is equal to their wage or as a result of their upward

adjustment of effort for productivity improvement (Neumark and Wascher, 2008,

pp.109-110). This model assumes jobs with different sensitivity of worker productivity

to skill as well as a continuous distribution of worker skills and a labour market

equilibrium characterised by an upward-sloping wage curve that relates wages to skill,

and regards the sensitivity of productivity to skill as the reason for the spillover through

‘a greater degree of substitutability between workers whose skill levels are relatively

close than between workers whose skill levels are quite different’ (Neumark and

Wascher, 2008, p.109). A highly skilled worker in a job for which productivity is less

sensitive to skill would be only marginally more productive, but paid a lot more, than a

low skilled worker and thus tends to be hired in a job for which productivity is more

sensitive to skill. Accordingly, the minimum wage leads to the substitution of slightly

higher low skilled workers for the lowest skilled workers rather than of those with quite

different levels of skill, and raises the wages of the former by more than the ones of the

latter (Neumark and Wascher, 2008, p.109).

Monopsony models which assume the existence of frictions in the labour market which

allows employers to have potential market power over their workers (Manning, 2003,

p.4) also predict similar effects on the distribution of wages. In the original Burdett-

Mortensen model in which each employer posts a wage and employees randomly search

employers for a job paid at a higher wage (Burdett and Mortensen, 1998, p.258), spikes

are not expected because employers offer a wage slightly higher than the one paid by a

mass of firms (Manning, 2003, p.327; Neumark and Wascher, 2008, p.111). But,

Manning understands it as a result of ‘a discontinuity in the labour supply function

facing each firm at every wage that is paid by a mass of firms’ and suggests that taking

non-pecuniary firm features into account, such as ‘heterogeneity in the evaluation of

non-wage characteristics of jobs or mobility costs,’ allows to generate a spike in the

distribution of wages by eliminating the discontinuity in the labour supply function

(Manning, 2003, p.327; Neumark and Wascher, 2008, p.111). This equilibrium search

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model predicts spillovers concentrated among jobs paying just above the minimum

wage as well (Neumark and Wascher, 2008, p.110) because reduction in the wage gap

between higher-wage firms and lower-wage firms caused by an increase in the

minimum wage leads to increases in the elasticity of the labour supply curve to an

employer and consequently, induces employers to pay higher wages, but this effect

declines as one moves up in the wage distribution (Manning, 2003, pp.328-329). A

structural search model, in which Flinn (2002; 2006, p.1021; 2010) assumes wage

bargaining as well as search frictions in the labour market, illustrates that the imposition

of a binding minimum wage constrains matches between employers and workers who

are worth being paid less than the minimum wage, and the constraint produces an

equilibrium wage distribution with a mass point at the minimum wage and continuously

distributed wages above the minimum under the condition that match values are

themselves distributed in succession. Meanwhile, an efficiency wage model developed

by Grossman (1983, p.361) assumes two types of labour, skilled labour which reduces

its effort following a relative wage deterioration and unskilled labour whose effort does

not vary with changes in relative wages, and explains that the spillover effects of the

minimum wage are generated through two channels, the equity effect and the

substitution effect. This is, employers directly raise other wages above the minimum

wage as it increases in order to maintain the effort of skilled labour and the optimal

level of productivity, on the one hand, and they lay off minimum wage workers and hire

more skilled ones, on the other hand (Grossman, 1983, p.366).

Alongside the effects on the distribution of wages, the effects on the distribution of

incomes and on poverty are another chief distributional concern of minimum wage

policy. As shown in Chapter Four, the focus of the research about the effects on the

distribution of incomes and on poverty shifts from individuals’ welfare to families’

economic well-being, but this subject matter has also been theoretically less developed.

The main reason would be that the implication of the effects of the minimum wage on

welfare is concerned not only with distributional effects but also with other issues of

minimum wage policy, including employment effects and the relationship between low-

wage workers and low-income families and between low wages and poverty.

Employment effects have been particularly paid great attention because of their

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expected adverse impacts that would impede the distributional goal of minimum wage

policy. The simple neoclassical model which does not assume market imperfection

explains that minimum wages create distortion that particularly results from negative

employment effects and reduces welfare, and it suggests that the desired distributional

goals would be better achieved by tax-and-transfer system to avoid the distortion

(Gramlich, 1976, p.410; Neumark, Schweitzer, and Wascher, 2005, pp. 867-868;

Neumark and Wascher, 2008, p.142). Models that modify the assumptions of the

neoclassical model imply ambiguous welfare effects based on employment effects.

Flinn (2002; 2006; 2010) uses the value of unemployed search as the welfare criterion

in his structural search model. He argues that positive changes in the distribution of

wages in response to increases in the minimum wage can be misunderstood in disregard

of employment effects, and that neither an absence of employment effects nor

disemployment effects necessarily mean improvement or deterioration in welfare

respectively because changes in the distribution of wages can affect the value of the

unemployed search. Rebitzer and Taylor (1995, pp.253-254) also contend in their wage

efficiency model that a minimum wage can lead to economic well-being by increasing

employment in the long run as well as in the short run but can have ‘a seemingly

perverse positive employment effect’ when the efficiency wage a firm must pay

increases with employment for the reason that increasing a firm’s employment raises the

risk of unemployment for other workers under uncertainty as to product demand. In this

regard, they suggest that the implication of the minimum wage effects on welfare would

be better detected by empirical works rather than theoretical appeals with regard to

employment effects.

Meanwhile, a theoretical attempt which shifts its focus from employment effects to the

effects on the distribution of incomes or on poverty for measuring the effect of the

minimum wage on welfare is rare. Fields & Kanbur (2007) only provided a theoretical

framework based on income-sharing and demonstrated how four factors - the degree of

poverty aversion, the ratio of the minimum wage to the poverty line, the elasticity of

labour demand, and the extent of income-sharing – result in a rise, a fall, and no change

in poverty level. In the succeeding paper, they showed that wage differentiation,

employment in high-wage and low-wage jobs, and the elasticity of labour demand with

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respect to the minimum wage determine the direction of the poverty change (Kapelyuk,

2014, p.8).

Employment Effects

As implied earlier, the effects of the minimum wage on employment have been the most

prominent issue in its policy evaluation, and hence much of the theoretical debate about

the minimum wage centres on this issue. The logic of the neoclassical standard model of

the minimum wage is quite simple with respect to the employment effects. It assumes

that labour and product markets are competitive, the labour covered by the minimum

wage is homogeneous, products are turned out with a combination of capital and labour

of which both are perfectly informed about the labour market, and all workers are

covered by the minimum wage (Neumark and Wascher, 2008). In such a perfectly

competitive labour market, the wage is set by the meeting point of the supply of and the

demand for labour, and the magnitude of employment is determined by the equilibrium

wage. If a minimum wage is fixed at above the equilibrium wage, a firm’s marginal cost

of production is raised, which gives rise to an increase in the price of products, a fall in

the demand for products, and finally a decrease in production. As a result, employers

adjust their businesses by reducing employment, in particular of low-wage workers,

who will be relatively overpaid compared to their contribution to the firms’ revenue

under a minimum wage higher than the equilibrium wage (Card and Krueger, 1995) and

by substituting capital for labour in the production process (Neumark and Wascher,

2008). In this simplified account, the market equilibrium wage is impersonally applied

to all firms, which means that firms do not choose wages paid to their employees,

workers are treated in the same manner as other inputs that employers buy, such as

machinery or electricity, are, and all employers purchase labour as much as they want at

the same market price (Card and Krueger, 1995).

The assumptions that this standard model postulated, however, ruled out many other

aspects of the operation of the labour market and the effect of the minimum wage, and

extended models to remedy shortcomings of the standard model have been developed.

The first question that an extended model addresses is whether all workers are covered

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by the minimum wage. In less developed countries, the coverage of minimum wages is

often limited, and noncompliance is high. The two-sector models explain that the sector

not covered offers alternative opportunities to workers who cannot find the jobs in the

sector covered and thus the aggregate employment losses associated with an increase of

the minimum wage can be alleviated even though employment in the sector covered

decreases (Card and Krueger, 1995; Neumark and Wascher, 2008). Welch (1976) argues

that, with partial minimum wage coverage, jobs in the sector covered are restricted and

labour supply in the sector not covered increases as wages in the sector covered are

bound to above-equilibrium levels. The shift in labour supply could lead to a rise in

employment and a fall in wages in the sector not covered. Welch’s model assumes that

workers not chosen by employers in the sector covered work in the sector not covered if

the wage is higher than their reservation wage. Meanwhile, Gramlich (1976) and Mincer

(1976) presume that workers choose their sector based on the expected earnings in each

sector which refer to ‘wage times probability of having a job’ (Brown, 1988, p.136).

When the expected earnings in the sector covered are higher than wages in the sector

not covered, workers who do not get a job in the former flow into unemployment whilst

they work in the sectors not covered when wages in that sector are higher than the

expected earnings in the sector covered. Thus, in the case that displaced workers remain

unemployed until they can get a job in the sector covered, wage rise caused by an

increase in the minimum wage would not have a significant impact on employment and

wages.

The second question is whether the workers covered by the minimum wage are

homogeneous. An extended model assumes two skill groups, skilled workers and lower

skilled workers. If a minimum wage increases, skilled workers are substituted for lower

skilled workers as the employers’ demand for skilled ones rises; and as a result,

although the overall employment still declines due to the substitution effects of non-

labour inputs for lower skilled workers, the scale of the total drop in employment will

be smaller than the fall in lower skilled workers (Neumark and Wascher, 2008).

However, responding to the fact that the observed distribution of wages is apt to be

relatively continuous rather than discrete, another alternative model assumes that the

distribution of wages reflects the distribution of skills which is formed by different

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amounts of human capital among different workers (Brown, Gilroy, and Kohen, 1982).

In this model, human capital is held together by education, experience, motivation, and

ability, the labour market pays for an ‘efficiency unit’ of human capital, and each

individual is a substitute in production (Card and Krueger, 1995). Under these

assumptions, the presence of the minimum wage indicates a rise in the market price of

human capital and unemployed status of workers with value of marginal product below

the minimum wage, which leads the entire distribution of wages, which has the left tail

truncated at the minimum, to rightward movement (Card and Krueger, 1995). In sum,

this model predicts that the larger the increase in the market price of human capital

induced by the minimum wage is, the smaller the elasticity of demand for human capital

in the labour market is, which brings about reduction in employment among low-wage

workers, and the higher wages for other workers are (Card and Krueger, 1995).

The third issue is that the standard model assumes an economy with only one industry.

Bearing the point in mind, Neumark and Wascher (2008, p.52) argue that extending the

model to include more than one industry with consideration for plausible substitution by

consumers between goods produced in different industries requires to allow for possible

general equilibrium cross-industry effects. If two products produced in separate

industries are substitutable for each other, and a minimum wage raises the cost for one

product more than for the other, the demand for the product which is produced with a

smaller share of minimum wage labour in costs will increase, leading to a growth in the

demand for less skilled workers in the industry producing the substitute (Neumark and

Wascher, 2008, p.52). Neumark and Wascher (2008) cited as an example the possibility

that, with an increase in the minimum wage, the demand for minimum wage labour

could shift from other types of restaurants to the fast food industry when the latter has

the lower cost share of minimum wage labour than the former. They noted that the

prediction of the standard neoclassical model was not made on an industry-by-industry

basis, and thus a failure by researchers to find a negative employment effect in an

industry should not be regarded as inconsistent with the theory (Neumark and Wascher,

2008, p.52).

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The fourth problem is whether the minimum wage has the same effects on employment

and average hours worked per employee. In response to two different findings from

Card and Krueger’s (1995) and Neumark and Wascher’s (2000) studies on the effects of

the New Jersey minimum wage, Michl (2000) proposed an extended model that

distinguished the number of workers and their average working. Although labour input

and employment are often used interchangeably, labour input is the product of

employment and average hours worked per worker (Neumark and Wascher, 2008). In

the extended model, employers could cut back on labour inputs in response to an

increase in the minimum wage, either simply by dismissing workers or by reducing

working hours per employee (Michl, 2000, p.265). Particularly for the latter case, an

employer can hire more workers, in principle, with the margin associated with a

reduction in average hours worked per employee, though the firm’s total demand for

work hours declines (Michl, 2000, p.265). Strobl and Walsh (2008; 2011) further

expanded the model by allowing firms to choose combinations of the number of

workers and hours worked per employee in their production. In this case, the effects of

minimum wages on labour input are ambiguous and differ across firms and industries

because the changes in the two components of labour input, employment and average

hours worked per employee, are inversely related in response to the minimum wage

increase, and firms’ total work hours may even rise if there are small fixed costs for

hiring workers.

The final question is whether short-run and long-run effects of minimum wages on

employment are consistent. An extended model which distinguishes the two effects

claims that short-run and long-run adjustments to a change in the minimum wage are

quite similar because the high turnover among minimum wage workers makes hiring

and firing costs insignificant (Neumark and Wascher, 2008, p.52). Providing the

findings from their case study of fast-food restaurants, Card and Krueger (1995)

contended that a negative employment effect would be expected within a few months

after an increase in the minimum wage because employers hiring minimum wage

workers can adjust their staffing levels flexibly with no large costs of hiring and firing

due to the high turnover rates of workers, but the effect will decrease over time as the

real value of the minimum wage diminishes. However, recognising the possible gap

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between short-term and long-term effects, Hamermesh (1995) argues that ‘sizeable

adjustment costs for capital or other inputs can result in lags in the adjustment of labour’

even if the costs of adjusting labour input are small (Neumark and Wascher, 2008, p.52).

Along the lines of Hamermesh’s argument, Neumark and Wascher (2008, p.53) define

the short-run effects as ‘the change in employment over a period during which the

capital stock is fixed’ and maintain that the decline in less-skilled labour will be

mitigated until firms can substitute capital for less-skilled labour in response to an

increase in the minimum wage.

Despite the theoretical insights the standard model provides and the considerable

modification throughout the extension of the standard model, the most obvious

difficulty with the neoclassical models of the minimum wage is that of explaining the

existence of neutral or even positive employment effects of minimum wages on affected

workers. Allowing for Fang and Gunderson’s (2009) findings shown in Chapter Four, it

is important to build an explanatory basis for neutral or positive employment effects,

particularly for the research that focuses on the impact on older workers. Although the

extended neoclassical models that add some supplementary conditions partially

acknowledge the likelihood of non-negative employment effects, the fundamental

inclination heads for adverse ones. A general feature of the neoclassical competitive

model is the assumption that firms are ‘price-takers in the labour market’ and ‘there is

no firm-specific component of wages’, but this assumption is an oversimplification

(Card and Krueger, 1995, p.369). Another major difficulty with the neoclassical models

is that their explanations are based on arithmetical calculations, which assumes that

employers and workers have all the information needed for their rational decision-

making. For example, provided that workers who do not get a job in the sectors covered

remain unemployed when the wages times probability of having a job in that sector are

higher than the ones in the sectors not covered, it is highly questionable whether all the

workers always make the same choice in practice under a certain combination of

conditions, on the one hand, and whether they are well informed of, at least, the

probability of having a job even if a wage rate is applied to all firms in a certain sector,

on the other hand. Moreover, the neoclassical models do not consider the interaction

between the demand change for low-wage workers and workers’ behavioural responses,

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which result from a rise in the minimum wage. For instance, low-wage workers can

improve their productivity motivated by an increase in the minimum wage, and this

would lead to no demand change for the workers. Also, if required on-the-job-skills are

different between industries, low-wage workers might hesitate to shift from one industry

to another in accordance with the demand change for them in each industry.

As the adverse employment effect predicted by the neoclassical models has not been

firmly supported by empirical studies since Card and Krueger’s (1994) seminal work

was published, and theoretical and empirical debates on the effect of the minimum wage

have been intensely revived, the monopsony model became prominent, paving the way

for positive or neutral employment effects. This model discusses exceptional cases from

the viewpoint of the neoclassical labour market model (Herr, Kazandziska, and

Mahnkopf-Praprotnik, 2009, p.19). In the textbook monopsony model, individual firms

face an upward-sloping labour supply curve which mirrors homogeneous labour and

have some market power over wages to attract more workers. A single firm, a so-called

‘monopsonist’ sets a wage at the level that the marginal cost of labour and the marginal

revenue product of labour are even (Robinson, 1933, recited from Card and Krueger,

1995 and Neumark and Wascher, 2008). The monopsonistic market equilibrium wage is,

however, determined on the labour supply curve being lower than the marginal cost of

labour curve, and thus the gap between the wage and the marginal revenue product of

labour, what Pigou and Hicks referred to as ‘exploitation’ (Manning, 2003, p.49),

occurs. Also, the level of employment that results from the equilibrium wage is lower

than the one in the neoclassical competitive model because the marginal cost of labour

mounts more sharply than the wage as the monopsonist has to pay the higher wage to all

its workers (Ehrenberg and Stewart, 1997; Neumark and Wascher, 2008). Under these

circumstances, all cases of employment effects can be embraced. A minimum wage

fixed between the equilibrium wage and the point where the marginal cost of labour is

equated to the marginal revenue product of labour leads to an increase in employment as

the minimum wage reduces the marginal cost of labour. A minimum set at the point

where the marginal cost of labour curve meets the marginal revenue product of labour

curve has a neutral employment effect, and any further increase beyond the point brings

about a reduction in employment.

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The point that a monopsonist faces an upward-sloping labour supply curve assumes that

the elasticity of labour supply is not perfectly infinite. This assumption is the most key

feature that clearly discriminates the monopsony model from the neoclassical model and

allows each monopsony model demonstrated in different ways. The traditional static

monopsony model postulates a single buyer of labour as an example of the imperfect

elasticity of labour supply. An early labour market example is the ‘company town,’

where a single employer dominates, such as coal mining communities in rural areas

(Ashenfelter, Farber, and Ransom, 2010, p.204). Ulsan city in the southeast part of

South Korea where Hyundai dominates with motor and shipbuilding industries could be

a present example. Under the static framework, some empirical studies validated the

assumption in several specialised labour markets, such as nurses (Sullivan, 1989;

Staiger, Spetz and Phibbs, 2010) and school teachers (Landon and Baird, 1971; Falch,

2010). However, neither is the company town common in the present labour market nor

is there any evidence of the limited elasticity of labour supply in low paid jobs. In this

regard, the traditional static monopsony model is regarded as just an intellectual

curiosity, not being relevant, particularly in the low-wage labour market. Critics of the

model suppose that the elasticity of labour supply to a certain firm is nearly infinite

unless the firm actually employs a considerable proportion of the total potential

workers, which belief is derived from the sphere of industrial organisation, where a

certain employer’s market power is reckoned to be correlated with the employer’s

market share (Card and Krueger, 1995, p.373). But, in the low-wage labour market, the

employers are normally considered as small firms which monopsonistic power is often

insignificant.

Making it more plausible in an industry with a large proportion of small firms, the

dynamic monopsony model, which was formulated by Burdett and Mortensen (1989)3

and advanced by Manning (2003), attributes the limited elasticity of labour supply to

search-related frictions in the labour market. The dynamic model assumes that, due to

the job search frictions, workers have imperfect information about the wages provided

by employers, and firms have monopsony power on wages even against many

competitors (Ashenfelter, Farber and Ransom, 2010). The basic idea of the dynamic

model is that the firm sets a wage at which the number of new hires balances the

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number of turnovers (Card and Krueger, 1995), and thus the firm’s employment

corresponds to an equilibrium between the flow of workers in and those out of the firm

(Ashenfelter, Farber and Ransom, 2010). In this so-called general equilibrium model of

oligopsony, a binding minimum wage increase can lead to employment gains,

particularly at smaller, low-wage firms, by reducing turnovers and raising hires (Card

and Krueger, 1995, pp.380-381). This is possible not only because the minimum wage

increases the odds that some workers will be provided a wage offer higher than their

reservation wage, but also because it leads firms already paying above the minimum to

give their wage offer a raise as well (Neumark and Wascher, 2008, p.56). Card and

Krueger’s (1994) analysis of the effect of the New Jersey minimum wage on fast-food

restaurants provides empirical evidence, finding that employment increased among

restaurants initially paying the lowest wages and was stable among restaurants already

paying more than the new minimum wage.

Apart from the static and dynamic monopsony models driven by the assumption that

firms can attract and maintain more workers by paying a higher wage (Card and

Krueger, 1995), Rebitzer and Taylor (1995) developed an efficiency wage model in

which employers economise on monitoring costs by paying above-equilibrium wages

(Boal and Ransom, 1997, p.95). This model assumes that workers have some discretion

over the level of effort on the job, and firms can pay a higher wage to induce greater

effort of employees and threaten to fire employees who shirk (Card and Krueger, 1995;

Neumark and Wascher, 2008). Firms need to monitor employees’ efforts, but an

employer’s monitoring ability is supposed to decrease as a firm’s size is increased. If a

firm increases employment, it must raise wages to discourage shirking in lieu of its

weakened ability to monitor. This brings about an upward-sloping labour supply in the

long run (Boal and Ransom, 1997), and leads the marginal cost of labour to be higher

than the offered wage. Under these circumstances, imposing a binding minimum wage

slightly above the equilibrium wage induces firms to put less resources for monitoring

work effort and increase their level of employment instead (Neumark and Wascher,

2008, p.55). An implication of the efficiency wage model is that employers who are

concerned about low-wage workers’ shirking on the job will not offer subminimum

wages because workers being paid a subminimum would choose the desire to shirk on

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the job rather than the value of keeping the job (Card and Krueger, 1995, p.382; 2000,

p.342) whereas those being paid over the subminimum would be concerned about losing

their jobs.

Empirical studies show that monopsonistic behaviour is found across the considerable

number of employers in a variety of countries and labour markets even though it is not

universal. With reference to the effects of the minimum wage, monopsony models have

critical implications by opening a door for theoretical underpinning of non-negative

employment effects. In addition, equity issues are always considered in the background

in the monopsony literature because the wage is regarded as an important factor of

economic welfare, specifically for low-wage workers (Boal and Ransom, 1997, p.87).

However, it may be asked whether the model can provide a universal explanation for the

employment effect of the minimum wage, regardless of the level of analysis.

Monopsony models before the general equilibrium model of oligopsony fundamentally

rely on firm-based modelling. It is obvious that a single result from a monopsonist

cannot be generalised in the labour market. Even in general equilibrium models, a

related problem remains. Noting that general equilibrium models distinguish between

the elasticity of labour supply to the labour market as a whole and to individual firms in

as much as the former determines an aggregate employment effect of the minimum

wage while the latter determines the gap between the marginal product of labour and the

wage, Manning (2003) argues that any measure of the impact on aggregate employment

must take firms’ heterogeneity into account because individual firms would otherwise

choose different wages and thus will have different employment effects in the

imposition of the minimum wage. But, most of the monopsony models, including the

general equilibrium models, do not incorporate heterogeneity in workers’ productivity

which would be a key factor to give an account of a firm’s heterogeneity, particularly in

terms of the level of employment. If all workers are assumed not to be equally

productive, monopsonistic firms with more productive employees than their competitors

can be supposed, for example. Faced with the imposition of a binding minimum wage,

those firms might not raise employment even if there is still a gap between the marginal

product of labour and the minimum wage. The firms, facing a minimum wage slightly

above the monopsonistic equilibrium wage, could even discharge some employees with

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relatively less productivity in the hope that the rest of employees would improve their

productivity motivated by the increase in the minimum wage. However, the monopsony

models do not explain what the institutional forces are at play in practice or what the

role of wages is in the production process (Edwards and Gilman, 1999). Although the

latter is the focus of the efficiency wage model, higher wages as ‘a substitute for the

costs of supervision’ are criticised as unlikely and implausible (Edwards and Gilman,

1999, p.23). This is, ‘employees will avoid their duties if they can, and employers thus

face costs of supervision’ (Edwards and Gilman, 1998, p.9), regardless of the wage

level.

Economic Effects of Minimum Wages in the Keynesian Paradigm

Distribution Effects

Critical of the absence of a macroeconomic approach in the theoretical debate which has

been led mostly by the neoclassical view (Herr, Kazandziska and Mahnkopf-Praprotnik,

2009, p.5), the Keynesian model explains the effects of minimum wages in the context

of the interaction between the labour market and the national economy. The Keynesian

approach which was first advanced in the 1930s is set against a claim for market self-

regulation and instead focuses on systemic market failure to be resolved by government

intervention. The neoclassical approach recognizes the odds of market failure but

defines the failure as a bad fit between production and the wants of individuals with

purchasing power, which does not occur in an aggregate manner (Caporaso and Levine,

1992). By contrast, the Keynesian approach argues that the market mechanism

systemically fails to assure adequate purchasing power and underutilise the existing

productive capacity, and this aggregate demand failure results from the instability of the

process of reproduction and growth in a capitalist economy (Caporaso and Levine,

1992, p.100). The source of the instability is the self-reinforcing or cumulative nature of

the processes that the movements of output, investment, employment, and prices are

involved in ‘a leakage from the economic circular flow’ which does not stimulate any

comparable demand (Caporaso and Levine, 1992, p.103, p.118). The systemic failure of

aggregate demand requires government intervention, but a key point here is that the

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intervention should adopt ‘administrative ways rather than political means’ (Caporaso

and Levine, 1992, p.101), and the government develops a stabilization policy that

affects the economic circular flow, typically using government spending and taxes, to

secure the macroeconomic conditions needed (Caporaso and Levine, 1992, pp.119-121).

According to the Keynesian explanation of the minimum wage effects which was

explored by Herr, Kazandziska, and Mahnkopf-Praprotnik (2009) and Herr and

Kazandziska (2011), minimum wages can perform two important roles in the Keynesian

paradigm, preventing deflationary developments, especially in a period of economic

crisis and weak union power, and changing the wage structure among wage earners. In a

closed economy, changes in profit rates, prices of natural resources, and taxes may

affect changes in the price level, but none of them can solely give rise to an inflationary

or deflationary process (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.7). By

contrast, changes in the wage-price spiral can bring about those processes by itself, and

in this regard, nominal wages can be regarded as the nominal anchor which is a

precondition for the functioning of capitalist economies (Herr, Kazandziska, and

Mahnkopf-Praprotnik, 2009, pp.7-8). That is, when nominal wages increase by the wage

norm which refers to following the medium-term trend of productivity changes and the

inflation target of the central bank, they become the nominal anchor for the price level

and prevent deflation (Herr, 2002; Herr and Kazandziska, 2011). In the same vein,

minimum wage increases attuned to the wage norm support or become a nominal wage

anchor and avert a wage-price deflationary spiral by keeping down the erosion of

nominal wages (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.8; Herr and

Kazandziska, 2011, pp.4-5). To achieve this goal, the Keynesian theory recommends

that the minimum wage should be adjusted annually with a rate high enough to give

benefits to the lowest wages and also affect a sufficient number of employees (Herr and

Kazandziska, 2011, p.5; Ghani, 2016, p.2).

In the Keynesian approach, changes in nominal wages cannot fundamentally change the

distribution of national income between wages and profits because wages affect the

price level (Herr, 2009, p.952). However, minimum wages have distributional effects

among wage earners (Herr, Kazandziska and Mahnkopf-Praprotnik, 2009, p.10). If all

wages change by the wage norm, the wage structure will not change, in which there is

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no improvement in real income among low-wage workers. But, if minimum wages

increase faster than the average wage, the wage structure will be compressed from the

bottom, which increases real income and purchasing power among the low paid and

enhances the potential of minimum wage policy for combating poverty (Herr and

Kazandziska, 2011, p.5). In another case where minimum wages increase attuned to the

wage norm but the average wage level is raised higher than the wage norm, wage

dispersion will deepen, and hence increasing minimum wages based on the average

wage level is required (Herr and Kazandziska, 2011, p.5).

Employment Effects

Herr, Kazandziska, and Mahnkopf-Praprotnik (2009; 2011) argue that the minimum

wage does not have any systematic employment effects, and they remain theoretically

open in the Keynesian paradigm (Ghani, 2016, p.2). Changes in the wage level are

assumed to lead to changes in prices but not to directly induce changes in employment

in this approach (Herr, Kazandziska, and Mahnkopf-Praprotnik, 2009, p.9; Herr and

Kazandziska, 2011, p.3). The new structure of prices altered by an increase in the

minimum wage will change not only the technology and the structure of production but

also the structure of demand (Herr and Kazandziska, 2011, p.6). Higher minimum

wages may raise the level of consumption particularly because low-income households

show a higher propensity to consume compared to high-income households, which will

lead to a positive impact on aggregate demand, output, and employment (Herr and

Kazandziska, 2011, p.6). However, in some industries, such as security or cleaning,

increases in wages may refer to increases in price that leads to decrease in demand and

employment (Herr and Kazandziska, 2011, p.6). But, even in this case, those who

remain employed can consume more with higher income, and also, as products in one

industry can be inputs in another, the chain reaction of changes in prices will be

provoked with an obscure outcome in employment on a macroeconomic level (Herr and

Kazandziska, 2011, p.6).

With regard to the effects of the minimum wage, the Keynesian’s main concern is

whether the policy helps to stablize aggregate demand by enhancing purchasing power

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among low-income households and to prevent deflationary development. A prerequisite

for this goal is that minimum wages should increase at least in line with the medium-

term productivity changes and the inflation target of the central bank. Increases faster

than the average wage level will bring about a compression of wage structure from the

bottom and a reduction in poverty. The Keynesian approach has little interest in the

mechanism whereby the minimum wage influences individuals. In this vein, it addresses

only three cases where the distribution of wages is differently adjusted in response to

the increase in the minimum wage and does not elaborate the theoretical relationship

between changes in wages and changes in employment. This makes it difficult to

understand a variety of effects of the minimum wage found in empirical studies. Further

to this, the Keynesian approach stresses only administrative intervention and disregards

the point that a minimum wage rate is essentially set through a political process,

although it takes several cases into account with regard to the level of the minimum

wage.

The Political Economy of Minimum Wages

What Makes Some Support and Others Oppose the Minimum Wage?

Both the neoclassical view and the Keynesian approach discussed so far rule out the

political nature of the minimum wage from their explanations. But, the minimum wage

as a public policy is a collective process, and its outcomes are shaped by both ‘the

domain of politics and the domain of markets as two sides of the same coin’ (Bickers

and Williams, 2001, p.x). Hence, its effects should be explained allowing for both

domains. This leads us to seek a political economy perspective for a more plausible,

real-world account of the effects of minimum wages. The existing theoretical

explorations underlying the political economy of minimum wages, however, focus

mainly on questions about what other reasons than economic ones make some support

and others oppose minimum wages, rather than on questions about how minimum

wages affect workers. These rely on voter behaviour or trade unions and are mostly set

in the US context.

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West (1974) argues that the success of proposed legislation, including the minimum

wage, depends on the median voter group because politicians pay attention mainly to

the group’s preferences, but the group does not match up with those who are affected by

the minimum wage. The median voter group is not homogenous in terms of the

minimum wage. While some individuals, particularly who are affiliated to trade unions,

may be in favour of the legislation because their bargaining power will increase, the

majority in the median group are those whose real incomes may decrease with the

adverse price effects and small employers who are not typically wealthy businessmen

(West, 1974, pp.134-135). Some of the non-union median voters may have altruistic

virtue besides self-interest, based on the informed effects of the minimum wage (West,

1974, p.134). In this regard, West (1974) suggests in his theoretical model that the

probability of support for minimum wages is determined by the voting significance of

the group affected by the minimum wage, the proportion of non-union individuals and

small business employers, effects of the minimum wage on the median voter group, the

extent to which sub-groups in the median voting group are politically organised, and the

degree to which voters perceive the adverse effect of the minimum wage (West, 1974,

p.135).

More recently, Adam and Moutos (2011) constructed a political economy model to

show political support of median voters for the minimum wage in the context of

whether they would agree to replace the existing minimum wage with wage subsidies.

Their model assumes that there are a fixed number of households and many perfectly

competitive firms, and the majority of households earns income only from labour

(Adam and Moutos, 2011, p.171). This implies that most voters are workers whose

income is derived from the sale of their labour or from unemployment benefits, and the

imposition of a minimum wage will reduce employment but increase aggregate wage

income and the income of those who remain employment (Adam and Moutos, 2011,

p.172). Adam and Moutos (2011) predict that, if the fiscal cost of wage subsidies are

covered on by the increase in the wage income tax, median voters would not support the

replacement of minimum wage with wage subsidies, but, if the cost is paid by firms

through higher profit tax rates, wage subsidies can get broad political support from the

median voter (Adam and Moutos, 2011, p.173).

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Meanwhile, attempting to recast the argument on support for the minimum wage,

Waltman (2000) argues that the reason why widespread public support for the minimum

wage does not lead to the American electorate’s support for its legislation is lack of

mobilisation which results not only from the fact that minimum wage workers, mostly

young, less educated, and poor, have a strong tendency not to vote and are unlikely to

maintain their political will for their own economic interests, but also from the fact that

there is the disparity between proponents’ scientific knowledge-based approach and

morals and ethics-based perception of the minimum wage among the public and the

potential mobilisers, such as politicians and trade unions. Waltman (2000, p.142)

suggests that minimum wage advocates need to recast the debate away from an

individualistic framework ‘toward a common good of society ’ as emphasised in ‘the

progressive era rhetoric of civic republicanism’ (Prasch, 2001, p.356) .

Compared with those who build their arguments upon voters’ behaviour, some social

scientists hypothesize that minimum wage policy has been driven by the pressure of

organised constituent groups that support or oppose the minimum wage in their own

interest (Neumark and Wascher, 2008, p.253). Trade unions are regarded as one group

able to organise a large bloc of voters in favour of the minimum wage because it gives

the incentive of rises in demand for higher skilled unionised workers to unions

representing workers in higher-wage industries (Neumark and Wascher, 2008, p.253) as

well as the incentive of increases in wages to unions representing those in low-wage

industries and also reduces competition in low-wage industries (Simons, 1944, pp.10-

11). Assessing the potential constituent groups in terms of the relative size of each and

the significance of minimum wage laws in their voting decision, Keech (1977) argues

that three important points enable the minimum wage politically viable. First,

individuals who benefit from an increase in the minimum wage are likely to consider

the minimum wage more heavily in their voting decision than those who do not (Keech,

1977, p.136). Second, unlike West’s (1974) argument presented earlier, the perception

of the adverse effect of the minimum wage would have little influence on most voting

decision. Third, workers who are paid slightly above the minimum wage, support the

increase in the minimum wage to reduce competition from lower wage counterparts,

and are represented by trade unions would have the greatest organisational power.

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Cox and Oaxaca (1982) provide a more stylised theoretical model to predict the support

or opposition of the minimum wage among competing interest groups in the context of

an equilibrium model which assumes the unionised sector uses skilled labour and

capital as inputs while the non-unionised sector uses unskilled labour, skilled labour,

and capital as inputs (Neumark and Wascher, 2008, p.254). In this model, an increase in

the minimum wage raises wage costs in the non-unionised sector, which leads to

increases in the price of their products and the substitution of products produced in the

unionised sector for ones produced in the non-unionised sector. This product market

substitution drives an increase in the demand for union labour and its employment (Cox

and Oaxaca, 1982, p.552), and hence, trade unions have an incentive to support the

minimum wage for their own self-interest (Neumark and Wascher, 2008, p.254). By

contrast, an increase in the minimum wage reduces the real rental rate of capital and

harms the economic self- interest of capitalist, though the economic self-interest of

capital is not necessarily the same with the interest of corporation executives in the

minimum wage legislation (Cox and Oaxaca, 1982, p.542). Cox and Oaxaca’s

explanations are based on the assumption that politicians use their vote for maximising

utility of re-election and it ‘depends on the relative importance in the political

marketplace of competing interest groups’ (Cox and Oaxaca, 1982, p.552).

Meanwhile, Hayes (2007) identifies the minimum wage as a redistributive policy with

three different patterns of politics according to whether interest groups are organised or

not. The first pattern refers to the case that the issue of the minimum wage lies dormant

because low-wage workers, the primary beneficiaries of the minimum wage, fail to

organise themselves and thus effective demand for an increase in the minimum wage is

hard to be formed whereas there is constant, intense opposition to an increase in the

minimum wage from business groups. This case is particularly harmful to low-wage

workers ‘because the wage has never been indexed against inflation’ and thus ‘the real

value of the minimum wage declines’ (Hayes, 2007, p.469). The second pattern is the

case that the minimum wage issue constitutes ‘the ongoing struggle between labour and

business over shares of national income’ as trade unions take up the issue even if

beneficiaries fail to mobilise (Hayes, 2007, p.470). In this pattern of politics, a relative

power of labour and business is correlated with the magnitude and frequency of the

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minimum wage increase4. The third pattern is the case that, along with the decline in

trade unions, proponents of the minimum wage increase take a new strategy, such as ‘a

combination of tax breaks and subsidies to business’ to offset the increase in wage costs

(Hayes, 2007, p.471). In this case, an increase in the minimum wage shifts the cost from

employers to taxpayers and consumers rather than redistributes income from employers

to low-wage workers.

The Level of the Minimum Wage and its Fixing Process

A different political economy explanation relating to the minimum wage has been

addressed by Brown (2009). Paying attention to the importance of the minimum wage

fixing process with regard to the level of the minimum wage, Brown (2009) analysed

the shifting internal dynamics of the Low Pay Commission and its negotiations over the

level of the minimum wage in the British context. He argued that confrontation between

Commissioners with diverse backgrounds was unavoidable on the issue of the level of

the minimum wage but the position of the Commissioners were complex, which led to

the negotiation ‘in a pluralist way’ (Brown, 2009, p.441). Within the Commissioners’

group with a trade union background, there were different interests relating to increases

in the minimum wage by sector, and the Commissioners’ group with a business

background also differed by firm size. Despite the ambivalent interests within each

group, the union Commissioners were consistent in the upward direction of their

influence ‘with the strong egalitarian ethos’ while the employer Commissioners were in

the downward direction of ‘their influence as one of restraint on the union

Commissioner’ (Brown, 2009, p.442).

The existing theoretical explanations of the minimum wage from the political economy

perspective give limited insight into how political power shape the effects of the

minimum wage on workers. Most of the political economy approaches in common sees

government as an interest group in pursuit of re-election, and this results in confining

the role of the state in the policy process to a ‘casting voter’ who makes a decision

based on a refined calculation of which group would be more helpful for their re-

election between employers and employees. Further, policy typology-based

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explanations tend to be derived from Lowi’s early premise that ‘policies determine

politics’ (Lowi, 1972, p.299, see Lowi 1964, p.688), from which Lowi (1988, p.726)

later stepped back by acknowledging both directions of causal relationship between

policy and politics. This may lead to an explanatory vacuum of policy outcomes

produced or reproduced by the political process and overlook the changing nature of

policy outcomes which brings about variations in the effects of the policy. Unlike other

strands of the political economy explanations, Brown (2009) paid attention to the

importance of the minimum wage fixing process with regard to the level of the

minimum wage. However, he did not propose an explanation of the relationship

between the fixing process and minimum wage effects.

A Proposed Political Economy Framework for Understanding the Effects of

Minimum Wages

The above discussion of the existing theoretical accounts of the minimum wage tells us

that the mainstream economic theory provides predictions about changes in wages,

income, employment, and price, based on the view that the introduction or uprating of

the minimum wage is a ‘disruption to the normal labour market’ and the assumption that

employers and employees are rational actors who respond to the disruption towards

minimising losses and maximising gains. The modified models and the alternative

economic theory relax the view of the minimum wage as a disruption. However, they

keep leaning on the assumption of rational individuals in the labour market. Since

economic theories of the minimum wage, especially ones grounded in the neoclassical

paradigm, explain the fundamental mechanisms of how agents in the labour market

behave in response to the external stimulus, they are obviously indispensable for

exploring the effects of the minimum wage. But, as mentioned earlier, the predictions of

the mainstream economic theory are not supported by many empirical studies, and some

of the findings, including Fang and Gunderson’s (2009) presented in Chapter Four, are

not clearly understood even by modified models or alternative economic theory.

Accordingly, two significant questions may arise. One is whether individuals behave

rationally in the labour market, and the other is whether the effects of minimum wages

can be explained as the outcome of those repeated actions. The inconsistency between

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theoretical predictions and empirical findings implies that agents in the labour market

might not repeat their actions when facing similar situations and that the effects of

minimum wages may be contextualised by reflective behaviours. Whether individuals

repeat rational actions in a similar labour market situation is not a focus of concern in

this thesis, which would be a merited question for the field of economics, in particular

for behavioural economics or labour economics. What this thesis pays attention to as

regards the questions and implications being addressed above is the potential of

observable reflective behaviours which may allow better understanding of the minimum

wage effects. At this point, it should be noted that the minimum wage is a public policy

produced through the political process. A set of policy outputs resulted from

stakeholders’ reflective actions in the minimum wage policy process would

contextualise the effects of the policy, in as much as they embrace a variety of intents

formed by debates and decisions in the process. In this regard, this section seeks a

theoretical framework which would complement the explanatory vacuum of existing

theories with a lens of putting more weight on the policy process behind the minimum

wage.

Minimum wage policy can be a political arena of keen power competition among the

key stakeholders in as much as it is involved not only in regulating the behaviour of

employers (Hayes, 2007, p.467) but also in redistributing profits from employers to

employees (Levin-Waldman, 2011). This suggests that, bearing on minimum wage

policy, power is neither equally distributed nor unchangeably structured among the key

stakeholders, and its dynamics dominate the policy process. The dynamics of power in

terms of the minimum wage rely on the extent to which each stakeholder, in particular

employees, can be collectively organised and mobilised for or against the minimum

wage (Eyraud and Saget, 2005; Hayes, 2007; Neumark and Wascher, 2008). Labour

unions enable employees to have the force to make their voice heard more effectively

and form a pivotal authority for obtaining favourable outcomes. However, the union

density of low-wage workers is typically very low, and they are seldom collectively

organised not only because they are directly and indirectly pressured by their employers

into not joining trade unions, but also because they are often physically scattered by

their workplaces (Hayes, 2007). Besides, some of trade unions speak for higher-skilled

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workers with higher pay (Simons, 1944; Kau and Rubin, 1978), and this possibly leads

them to be indifferent to or even to oppose the minimum wage in their members’ own

self-interest. But it has long been recognised that labour unions representing higher-

skilled workers have an incentive to support the minimum wage because it may increase

labour demand for higher-skilled unionised workers (Neumark and Wascher, 2008) or

play the role of a wage floor to boost overall wage levels. In this regard, labour unions

typically spend a significant amount of time and resources on campaigning and

lobbying for minimum wage increases. They call for favourable public opinions and try

to have prominent political leaders on their side in order to get greater leverage for an

increase in the minimum wage.

Business groups have been effectively organised throughout the history of the minimum

wage (Levin-Waldman, 2001; Waltman, 2000, cited from Hayes, 2007, p.473). They

exert influence on the policy process, primarily using their instrumental power, ‘which

stems from political resources, such as informal ties to politicians and bureaucrats,

appointment or election to government office,’ including finance ministers or central

bank heads, and ‘core constituency relationship with political parties’ as well as from

‘organisation, money, technical expertise, and media access, all of which place business

in a stronger position to lobby, orchestrate collective action, command authority in

policy debates, finance campaign, and/or shape public opinion’ (Fairfield, 2015, p.420).

However, business interests in terms of the minimum wage can differ by the size of a

firm. Small businesses routinely oppose an increase in the minimum wage because they

typically hire more unskilled labour and thus are likely to be more directly affected by

the increase, whereas the position of big firms, of which many are only marginally

affected by an increase in the minimum wage, is theoretically ambiguous since they

may oppose higher minimum wages in order to have more leverage in wage bargaining

but could support higher minimum wages to ‘eliminate lower-cost rivals (Rustici, 1985,

p.120)’ (Dickson and Myatt, 2002, p.60; Neumark and Wascher, 2008). There is also a

gap in resources and organisational cohesion for political influence between small and

big business groups. Big business organisations can exert strong influence for their own

self-interests in the policy process, utilising the ample resources described above and

insignificant free-rider problems. By contrast, small firms’ associations ‘are a diffuse

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group with free-rider problems’ (Dickson and Myatt, 2002, p.60) and may not have

sufficient resources to lobby effectively, organise collective action, dominate policy

debates, finance campaign, and shape public opinion, but ‘echo(ing) the free market

editorial writers’ (Waltman, 2008, p.27). In this regard, they often devote their efforts to

minimising an increase in the minimum wage rather than to blocking any increase in

and of itself (Waltman, 2008). These potential differences in interests and resources

between small and big businesses may create variations in the intensity of business

opposition as a whole to (or possibly support for) the minimum wage. Nonetheless,

‘business interests remained and remain adamantly and resolutely opposed to the whole

idea of a minimum wage’ (Waltman, 2008, p.3) because it interferes with ‘a basic

business decision (Waltman, 2008, p.3) and ‘their entrepreneurial liberty’ (Levin-

Waldman, 2001, p.105) and ‘legitimates governmental regulation in general’ (Waltman,

2008, p.3). ‘Much of the intensity of business opposition centres around the law’s

intrusion into the private relationship between employers and employees’ (Hayes, 2007,

p.467).

Government is also a key stakeholder of the minimum wage not only because it is the

final decision-maker and implementer of the policy, but also because it has its own

‘comprehensive interest’ in the policy, which is associated with a regime’s policy

orientation as well as its pursuit of political supports from the electorate. The capacity to

be organised rarely matters for a government, in as much as it is an organised entity

with power anchored in representative democracy and/or bureaucratic authority.

However, when a government deals with an issue, the low degree of coherence among

the relevant government departments may weaken its organisational power. When it

comes to government power as regards the minimum wage, a government’s

comprehensive interest to pursue both its own ideological orientation towards policies

and political support from the electorate for its re-election is critical. A regime’s policy

orientation is closely connected to its political interest in preserving the regime, but they

are often at odds with each other in practice. The extent and intensity of power that a

government exerts on a policy issue depend mainly on the interaction with other forces

which would have a strong influence on its policy orientation to be sustained or

obstructed. Public opinion and structural power are critical forces as regards minimum

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wage policy.

Public opinion influences government decisions regarding a policy when an idea is

widely shared by the general public, and the support for the idea intensively converges

enough to mobilise extensive civic groups and/or to attract a key enabler, such as a

powerful political leader. The minimum wage tends to be widely supported by the

general public with moral sympathy and anticipation that it would do little harm to their

working life (Waltman, 2000). But it rarely comes up as a leading political agenda item

because the issue is not of direct interest to the majority of society and thus seldom

draws the mobilised political participation of civic society and/or strong support from

those with political leverage. Weakened trade unions and/or tepid support from the

unions representing more skilled workers would not be able to promote the mobilisation

of public opinion in favour of the minimum wage. Further, corporatist institutions

between labour, business, and government, which are adopted in many countries for

minimum wage fixing procedures as seen in Chapter Two, tend to deter the minimum

wage from being brought into the public political agenda by giving an impression that

‘government limits the power of business’ (Hill, 2009, p.56) and ‘depoliticising the

issue’ (Hill, 2009, p.59).

By comparison, structural power is a potent force that forms the base of the economic

power of business by coordinating the market in the capitalist economy. It constantly

influences government’s comprehensive interest regarding policies, including the

minimum wage. As Block (1992, quoted in Hundt, 2009, pp.23-24) defined, structural

power refers to the ability of business to prevent changes that conflict with the broad

interests of capital by threatening to withdraw their resources from the economy and

‘arises from the fact that, in market societies, states depend on private-sector agents to

invest in ways that generate growth, employment, and prosperity’ (Fairfield, 2015,

p.413). This is a specific variety of power that business is endowed with but differs from

the power that business holds as organisations, in as much as, unlike the organisational

power of business, the threat from structural power is ‘implicit … Government

anticipates the interests and reaction of capital without the need for interest group

representations’ (Marsh,1983, p.4, quoted in Hundt, 2009, p.23). However, structural

power can enhance the organisational power of business by facilitating government

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and/or policymakers to embrace what business organisations demand, and at the same

time, organisational power also can strengthen structural power by reinforcing the

concerns of government and/or the general public on investment using its plentiful and

powerful resources (Fairfield, 2015). This suggests that the economic power of business

which is founded on both structural power and organisational power operates as a form

of political hegemony (Gramsci, 1971). The extent to which government policy

decisions are influenced by the economic power of business relies mainly on the extent

to which government policy orientation is market-oriented, the extent to which the

majority of voters supporting the government prefers pro-market interventions, and the

extent to which economic conditions and outlook a government faces afford to cope

with predictable and unpredictable risks that arise from the changes in policies. In terms

of the minimum wage issue, a government tends to stick to its own policy orientation

which enables it to maintain its foundation of political support unless radical changes in

macroeconomic conditions or a powerful mobilisation of public opinion against the

policy orientation occur. This has an important implication for the characteristics of

policy change as regards the minimum wage, which will be discussed in connection

with regime change below.

The facts that government is structurally in an intermediate position between labour and

business and that it is ‘not a neutral agent’ (Hill, 2009, p.40) but one with its own

interests, suggest that government plays a decisive role in the dynamics of power as

regards the minimum wage. In accordance with its policy orientation, a government can

reduce the potential prior imbalance of power between labour and business, give more

weight to one of the two conflicting power in an active or passive way, or remain a

spectator. These actions may not be consistent through all the years in office and/or all

the stages of the policy process at a certain time. For example, a government might

revise its position whenever a new minimum wage rate is fixed within its years in office

and/or could take a stance to balance labour and business in the stage of agenda setting

and policy formulation, take any sides in the stage of decision-making so as to pursue

their own interests, and remain a spectator in the stage of implementation in order to

offset risks from a policy decision. Different government actions lead to a variety of

power dynamics in the policy process and different types of equilibrium of power

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among the key stakeholders of minimum wage policy, such as explicit consensus, tacit

consensus, influence, and domination.

The dynamic of power, which results in forming an equilibrium among the key

stakeholders at a particular time and stage of the policy process, assigns implicit

purposes and characteristics to the policy by producing a set of policy outputs.

Regardless of its legislative purpose and redistributive trait, a minimum wage has a tacit

aim and intent as a consequence of policy outputs. A typical example is that the

minimum wage is covertly characterised as symbolic when a rate is fixed at a much

lower level to achieve its original, explicit goal and/or when compliance with the law is

not properly supervised. This could be a case that the equilibrium of power is formed as

domination by business or implicit consensus between business and government at the

stage of decision-making and /or at the stage of implementation in the condition that

labour power and public opinion are weak, government policy orientation is more in

line with business interest, and/or government actions are strongly influenced by

structural power. However, this does not mean that a particular set of implicit purposes

and characteristics of a minimum wage are matched to a certain combination of

government actions and a form of equilibrium of power in the policy process. If a

minimum wage rate is fixed at a certain level for a specific objective, the minimum

wage comes to have an implicit purpose, for instance, an increase in employment of the

overall population or a part of it. In this case, government actions and the equilibrium of

power may take the same configurational forms with the case of the minimum wage

with implicitly symbolic characteristics. Changes in the implicit purposes and

characteristics of a minimum wage can be detected by the discourse created in the

course that a dynamic of power produces a set of policy outputs because a variety of

intents as regards the minimum wage are included in and excluded from the policy

outputs through debates and decisions in the process.

The implicit purposes and characteristics of the minimum wage shape its actual effects

because they provide a concrete direction toward which minimum wage policy works.

Unlike the legislative purpose of the minimum wage, the implicit one caught by the

discourse through its policy process is likely to be produced bearing more on a specific

issue addressed with more urgent and controversial concern at a particular point of time.

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For instance, if a subminimum-related issue is discussed in the light of concern about

the employment level of a certain group of workers which is largely composed of

minimum wage workers, a sub-rate for the group may be explicitly introduced, or a

minimum wage rate for all could be newly fixed, taking into account the wage level that

would not make an adverse employment effect, particularly for the target group. In this

case, the minimum wage is intended as an employment policy rather than a wage policy,

at least for the group of workers concerned, and this becomes an explanatory basis of

minimum wage effects for the group, such as no negative employment effects but

insignificant increases in wages and in family income. Furthermore, when the implicit

purposes and characteristics of a minimum wage include explicit concern about a

particular group of workers, they can be reinforced by cultural prejudice against the

members of the group and their internalisation of it, which drives the intended purpose

more explicitly presented as an effect of the minimum wage. The aim of no employment

effect for a certain age group of workers, such as the young or older workers, would be

an example. Those workers who are typically disadvantaged in the labour market might

actively accept a lower wage than the minimum wage and/or oppose an increase in the

minimum wage in order to stay in employment. In the same context, they could favour

an age-differentiated subminimum. Such attitudes and responses to the prejudice and

disadvantaged practice in the labour market are likely to strengthen a tacit purpose of

the policy to stress the employment level for the targeted age group, regardless of the

general legislative purpose of the policy to improve wage and income levels for the

vulnerable. This would result in neither adverse employment effects nor increases in

wage and income for the group concerned.

A series of changes in what are involved in policy change of the minimum wage

discussed so far can come about at any time and/or any stage of the policy process in

principle. But, the tendency of government to stick to its own policy orientation under

neither radical change in macroeconomic conditions nor a powerful mobilisation of

public opinion against the policy orientation implies two points. One is that minimum

wage policy tends to be ‘punctuated by rare episodes of radical change’ (Pollitt and

Bouckaert, 2009, p.168) in practice, which assumes ‘a sharp distinction between long

periods of institutional stasis periodically interrupted by some sort of exogenous shock’

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(Streeck and Thelen, 2005, p.1). The other is that government change would be the most

regularly observable shock to minimum wage policy. As long as there is no

socioeconomic shock which influences minimum wage policy, government policy

orientation becomes the key to determine a particular direction of government actions

and to shift an established equilibrium of power, which results in a new dynamic of

power among the key stakeholders and leads to the production of distinctive implicit

characteristics of the policy.

In sum, the theoretical framework proposed here argues that the implicit characteristics

of minimum wage policy are produced by a dynamic of power, which results in forming

an equilibrium of power among the key stakeholders at a particular time and stage of the

policy process, and the characteristics, which can be detected by the discourse

constructed through the policy process, shape the effects of the minimum wage.

Furthermore, minimum wage policy is likely to be punctuated mainly by government

change unless a shock in macroeconomic conditions and/or radical mobilisation of

public opinion occurs.

Research Methods

The theoretical discussion in the first part of this chapter has two methodological

implications for this research on the effects of minimum wages. First of all, the main

theoretical point is that the effects of minimum wages are not only produced by

economic mechanisms in the labour market but are also shaped by political

consequences in the policy process. This requires a methodology which allows an

understanding of the effects of minimum wages based on both the economic

mechanisms and the political consequences. However, the way each is involved in the

effects of minimum wages displays an epistemological distinction, which leads to the

mixed use of different types of data and research methods. That is, the economic

mechanisms in the labour market assume an objective reality which can be repeatedly

embodied by general rules regulating the market. Relying on this assumption, the

majority of studies on the effects of minimum wages have taken the stance that an

objective reality can be imperfectly and probabilistically explained by quantifiable data

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and statistical methods. In contrast, the political consequences in the policy process

presume realities that are socially constructed and driven by the context of power

relations governing the process. This presumption suggests that realities can be detected

by a qualitative analysis of text materials and spoken and written discourse data.

The other main point of the theoretical discussions is that minimum wage policy would

rarely have a drastic change without a socioeconomic shock, and government change

would be the most regularly observable episode of radical change to the policy. This

suggests that the effects of minimum wages could be distinctive according to the term of

office of a particular government, and thus designing the research on the effects of

minimum wages by government would give a better sense of the effects. This

suggestion may allow us to explore whether different levels of increases in the

minimum wage have different effects, if the rate of increase in the minimum wage tends

to be kept at a similar level throughout the term of office of a government and is likely

to alter significantly as the policy orientation for the minimum wage shifts with a

change of government. Besides, exploring the question by government tenure and

comparing the results may enable us to check the practical relevance of monopsony

explanation, currently the most prominent account particularly in terms of non-negative

employment effects, and to go over the necessity of seeking a better understanding of

the effects based on the analysis on political consequences in the policy process.

Reflecting the two methodological implications from the theoretical discussion, this

thesis used both quantitative and qualitative methods to examine the effects of the

minimum wage under different governments and political consequences in its policy

process which were expected to shape the effects. Two research questions, how the

minimum wage affects the distributions of wages and family earnings, employment and

exits from in-work poverty among older workers and whether different rates of increases

in the minimum wage have different effects among older workers were examined

through a series of quantitative analyses using a set of secondary data and statistical

methods. The two questions were explored at the same time since two five-year periods

of two consecutive governments which had a big gap in the rate of increase in the

minimum wage were compared in each analysis of each subtopic. Theses quantitative

analyses were performed within the general assumptions of economic mechanisms in

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the labour market. Meanwhile, the third research question, how the empirical results of

the minimum wage effects on older workers can be understood was explored through a

contextual analysis of texts and discourses produced particularly in the minimum wage

fixing process, after a comprehensive understanding of the empirical results from the

quantitative analyses based on economic explanations of the effects of minimum wages.

This qualitative analysis was conducted on the basis of the alternative political economy

framework for the research on the effects of minimum wages proposed earlier in this

chapter. Thus, the method chosen for the analysis followed the logical reasoning of

building the theoretical framework. The reason why the contextual analysis focused on

the minimum wage fixing process rather than embracing its whole policy process was

because this research assumed that comprehensive debates and decisions would be

made mostly in the fixing process and likely to regulate the whole of the minimum

wage policy process.

This research conducted a case study of South Korea on the effects of increases in the

national minimum wage on older workers, comparing two five-year periods of

consecutive Korean governments, ‘the Participatory Government’ under Roh, Moo-

Hyun (2003-2008) and the Lee, Myung-Bak government (2008-2013). Below are

described the specific data and methods used in each of quantitative and qualitative

analyses for this case study. This research did not take a quasi-experimental design in

the quantitative analyses, in which the causal impact of a minimum wage on target

population would be typically estimated by comparing before and after its introduction

or treatment and comparison groups when it increased in a region or a sector. This was

on account of the developmental and institutional peculiarities of the Korean national

minimum wage. As informed in the first section of Chapter Six, the national minimum

wage was introduced in the late 1980s in Korea but became widely known after it began

to be applied to all companies or workplaces with one employee or more in 2000 and as

the number of non-regular workers sharply increased in the mid-2000s influenced by

the International Monetary Fund (IMF)’ bailout programme with the 1998 Korean

financial crisis. This fact implies that the issue of noncompliance with the minimum

wage would be significant at least until the early 2000s. Further, since the Korean

national minimum wage has been implemented all over the country under the same

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conditions since 2000, it is difficult to set up a comparison group for examining the

effects of the minimum wage. Internal validity of the inferential statistical analyses in

this case study was sought by using panel data which contained observations collected

over multiple time periods for the same individuals and also by allowing for regional

difference in the influence of an increase in the minimum wage. In line with the

consideration of those developmental and institutional peculiarities of the Korean

national minimum wage, the two Korean governments were chosen for this research

because the Roh, Moo-Hyun government maintained one of the highest rates of

increases in the minimum wage whereas the Lee, Myung-Bak government had the

lowest rate of increase, and they had contrasting political orientations. The big

difference in the rate of increase in the minimum wage and in political orientation

between the two governments was an ideal condition to embody the assumption of

government change as a radical impact on the minimum wage, and also to demonstrate

the methodology which this research has argued provides a better understanding of the

effects of minimum wages.

Quantitative Analyses

Using the Korean Labour and Income Panel Study (KLIPS), four subtopics - the effects

of the minimum wage on the distribution of wages, on employment, on the distribution

of family earnings, and on exit from working poor, among older employees aged 55 and

older - were examined for each five-year period of the two chosen Korean governments.

Considering the fixing point of a minimum wage rate by each government, its

application period, and the data collection time point of each wave (see Appendix 1),

wave 7 in 2004 to wave 16 in 2013 of the KLIPS were mainly included. However, some

variables required were derived from wave 6 in 2003 and wave 17 in 2014. For

example, family income for 2013 can be derived from wave 17 in 2014 because each

wave of the KLIPS provides household income for the previous year, not for the

concerned year; and also, the fraction of older employees affected by a minimum wage

rate newly applied in 2004 should be calculated with wave 6 in 2003. Except for the

kernel density estimates for descriptive analyses of the distributions of wages and of

family earnings, regression-based statistical methods for panel data analysis, such as

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ordinary least squares (OLS) models and fixed-effects models, and the multilevel

discrete time event history model for competing risks were used as per the purpose of

each subtopic. The target age chosen for this research, as indicated in Chapter Six, was

grounded on the Korean context of the labour market that the actual age at which

workers retired from their lifetime main jobs has long been around 55 years.

Data

The KLIPS is an annual longitudinal panel study in South Korea which surveys the

economic and labour market activities of households and individuals residing in urban

areas across the country. It began in 1998 and is conducted annually by the Korea

Labour Institute (KLI) employing face-to-face interviews with the same set of questions

to the same set of households and their members. The sample was selected through a

two-stage stratified clustering method in which 951 areas were initially chosen from a

total of 21,675 sampling unit areas of the 1995 Korea Census, and then 5-6 households

were randomly opted for from each area. The original sample of 1998 included 5,000

households and 13,321 individuals therein to represent the adult population aged 15 and

over residing in urban areas and was complemented in the twelfth wave in 2009 by

adding 1,415 households and their members to redeem a significant number of dropouts

from the panel and to extend the sampling unit area to Jeju Island excluded from the

original sampling. The KLIPS consists of three datasets, household, individual, and

work history. The household dataset covers demographics, changes in household

members, family relations and financial resource exchanges between generations, types

of accommodation, children’s education and childcare, household income and

consumption, assets and debts, financial status, and burdensome spending. The

individual dataset includes the state of economic activity, earnings, working hours,

income and consumption, education and vocational training, and job-seeking activities.

The work history dataset contains information on individuals’ mobility in the labour

market.

The KLIPS is the best available dataset for this study about the effects of the minimum

wage on older workers in Korea. Firstly, it includes a reasonable panel size of older

employees aged 55 and over which represents the corresponding population in urban

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areas, which means that it is feasible to conduct an inferential statistical analysis

focusing on older employees. Secondly, since the survey provides employees’ monthly

earnings and weekly working hours, hourly wage rates directly comparable to minimum

wage rates can be derived. Along with this, the KLIPS allows family earnings and

income identified per individual unit through merging the household dataset and the

individual dataset, and it facilitates an analysis of family income-related effects of the

minimum wage, including the effects on family earnings and on exit from working poor.

More importantly, the KLIPS enables the contextual limitation that a comparison group

which is not affected by an increase in the minimum wage cannot be set up to be

redeemed by providing the data from the same individuals obtained over time and also

by allowing the regional difference in influence of the minimum wage to be employed

in the analysis. Furthermore, since the KLIPS has all the strengths of the pre-existing

time-series data and cross-sectional data, and allows event history data with repeated

events and multiple types of event simultaneously to be constructed, the analysis of the

effects of an increase in the minimum wage on transitions in individuals’ status of

employment and/or of poverty, is rendered feasible.

Methods

The first concern with regard to the effects of the minimum wage on older workers was

its distributional effects on wages. The effects were examined by testing the two typical

predictions of economic theories on wages, spike and spillovers. As presented earlier in

this chapter, if a minimum wage is strongly enforced and complied with, it will raise the

pay of those who were previously paid below that rate, which truncates or thins out the

lower tail of the distribution of wages and creates a spike at the point of the minimum

wage (Neumark and Wascher, 2008; Manning, 2012). An increase in the minimum wage

may also raise the wages of those who were already paid slightly above the new

minimum rate, mainly due to substitution of workers with higher skill for those with the

lowest skill and wage differentials between workers with different levels of skill

(Neumark and Wascher, 2008). Following Alaniz, Gindling, and Terrell (2011), spikes at

the point of the minimum wage were assessed graphically per five-year period where

the rates each of the two concerned governments fixed were applied, by plotting the

kernel density estimates of log hourly wages minus log minimum wage for each

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employee aged 55 and older in each year, where a zero indicated that the worker earned

the minimum wage rate of the year.

Then, how increases in the minimum wage caused changes in wages of employees aged

55 and older and relieved the wage gap among them were tested for each of the two

chosen five-year periods, using OLS and fixed-effects models. Following Jeong, J-H

(2011), an increase in the minimum wage was defined as two variables which were

shortened henceforth as the fraction affected and the fraction newly affected. The

fraction affected refers to the proportion of employees aged 55 and older who earned

less than a new minimum wage in the previous year to all employees of the same age

group, whereas the fraction newly affected refers to the proportion of employees aged

55 and older who were paid between an old and a new minimum wage in the previous

year to all employees of the same age group. The latter is more typical and therefore

suitable to stand for an increase in the minimum wage because the fraction represents

those directly affected by the increase. However, since a considerable proportion of

employees earned less than the minimum wage not only among mature workers aged 55

and over but also in the labour force as a whole in Korea, the former was also

incorporated as an indicator representing an increase in the minimum wage. Further,

both indicators of an increase in the minimum wage were computed by region

consisting of 7 metropolitan cities, 8 provinces, and one special self-governing

province.5 This was to redeem the limitation that a comparison group would hardly be

set up due to the institutional and developmental peculiarity of the Korean national

minimum wage, based on the assumption that regional difference in the fraction of

workers affected by an increase in the minimum wage would reflect the regional wage

differentials. The dependent variables were the changes in the 10th, 25th, 50th, 75th, and

90th percentiles of log hourly wages among employees aged 55 and older for each

region and the changes in ratios between the 90th and 10th, the 90th and 25th, the 90th and

50th, and the 50th and 10th percentiles of log hourly wages among employees aged 55

and older for each region. In the statistical models, the changes in the employment rate

of older employees by region were included as a control variable. This was defined as

the changes in the proportion of employees aged 55 and older who were neither self-

employed nor engaged in unpaid work to all individuals of the same age group for each

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region. This variable was under the assumptions that regional difference in the rate

would reflect the different labour market conditions across regions and that the rate was

arguably the better labour market measure than the unemployment rate of older workers

in as much as those who had motivation to work but were not employed and those who

were completely left the labour market were hardly distinguished in practice for this age

group.

The employment effect of the minimum wage for older workers was explored on two

different levels. Using OLS and the fixed-effects models, the effect was first screened at

the regional level for each of the two five-year periods by regressing each of the

changes in the employment rate of older employees by region and the changes in the

unemployment rate of older individuals by region on both of the fraction affected and

the fraction newly affected, the same indicators of an increase in the minimum wage

used in the analyses of the effects on the distribution of wages. The changes in the

employment rate of older employees by region was also defined as the same with the

control variable in the analysis of the distributional effects on wages, and the change in

the unemployment rate by region referred to the changes in the proportion of those aged

55 and older who were neither employed, self-employed, nor engaged in unpaid work to

all individuals of the same age group for each region. For a valid causal inference,

regional differences in factors which would be involved in regional employment and

unemployment rates should be controlled for. For example, sectoral composition by

region may reflect different rates of growth in production, different elasticity of

employment with respect to output, different capital intensity, and different patterns of

technological change by regional economy which all will influence employment at the

regional level (Eurostat, 2014). However, since the number of individuals aged 55 and

over in the panel data used for this research was relatively few when taking into account

the number of industrial sectors classified in the data, it was questioned whether the

sectoral composition for the age group by region would have sufficient distinction to

reflect the regional economy, and no control variable was included in the models. In this

regard, the statistical tests for employment effects at the regional level aimed at getting

informed of the consistent correlation between an increase in the minimum wage and

the changes in employment or unemployment rates for older individuals, rather than at

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determining the causal relationship between them.

The causal relationship between the increase in the minimum wage and older workers’

status in employment was explored at the individual level. Given the assumption that

older employees were more likely to be laid off in connection with labour market

interruptions and less likely to be re-employed once they were unemployed, whether

they would be discharged in practice as the minimum wage increases was the primary

concern for the group. In this regard, how an increase in the minimum wage affected the

transition from being employed among individuals aged 55 and older was tested for

each of the two five-year periods, using a multilevel discrete-time event history model

for competing risks. The model allows event history data with discrete-time nature and

complex structure to be handled (Steele, Goldstein, and Browne, 2004; Steele, 2011)

and requires a series of data preparations. The longitudinal record of individuals’

employment status collected every year in the KLIPS datasets was first converted into

event history data with an episode defined as a continuous period of being employed.

An episode began if an individual started to be employed and ended if the individual

moved into unemployment or other types of employment, such as self-employment and

non-wage family business work. The timing at which an episode ended was represented

by a form of time interval in which a transition occurred, and the exact timing of a

transition within a time interval was not important in a given case because the main

concern was to analyse whether or not an employee remained being employed along

with the annual increase in the minimum wage, based on the length of time spent in

being employed, not to study the timing of transition. This leads to a discrete-time

model which allowed us to analyse the duration of episodes (Steele, 2011). Discrete-

time models have flexibility to handle a complex structure including a hierarchical

structure and multiple possible ways in which an episode may end and also to facilitate

straightforward inclusion of time-varying covariates (Steele, Goldstein, and Browne,

2004). Transitions from being employed can be found several times for an individual

over the observation period, and the two types of transitions into unemployment and

other types of employment become competing risks at which an individual is of

experiencing a transition from being employed. These require a multilevel multinomial

model dealing with recurrent events within an individual and two competing risks, and

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the model can be embodied within a discrete-time model by some initial data

restructuring.

The event history data of employment transition were restructured in discrete-time

format with one record per one-year time interval spent in an employment status, using

SPSS. These data were essentially in a long format where fewer cases contributed a

greater number of observations due to the year concerned. In this data, the case

indicated by an individual’s identifier was regarded as level 2, and the variable, year as

level 1. To construct the event variable which showed an individual’s transition in

employment status for each year, the original variable for employment status was

recoded as 0 for still being employed, 1 for becoming unemployed, and 2 for becoming

self-employed or a non-wage family business worker. The variable, duration which

indicated the duration of an episode defined was created, indexed as 1, 2, 3, … from the

starting year of being employed to the ending year with a transition to being

unemployed or in other types of employment, and it was reset to 1 at the start of second

time being employed. Since being employed was the only starting point in employment

status, the record of the following year(s) was not included as an observation if an

individual stayed unemployed or in other types of employment after a transition to one

of them. The variable, exposure which indicated the number of years of a one-year

interval for which an individual was at risk of a transition, was also created. In the

analysis, the exposure variable is typically used for giving observations weighted (The

University of Bristol, 2006). However, since the time interval used as the denominator

for weighting was one for this analysis, the value of the multinomial response weighted

was the same as the one before being weighted.

The discrete-time data procured through the first data restructuring presented above

were extended to have a set of binary responses for each multinomial response. This

construction was carried out automatically when a multinomial model was specified in

MLwiN (The University of Bristol, 2006).6 The event variable in the discrete-time data

was converted into four variables in the extended data, response (resp), response_index

(resp-ind), cons.unemployment (con.une), and cons.self-employment (cons.self). The

response_index variable indexed the binary responses as 1 for the unemployment

indicator and 2 for self-employment or non-wage family business work indicator. This

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variable became the level 1 identifier when defining the multilevel structure, and the

‘real’ level 1 (time unit) was shifted up to level 2, with individual at level 3. When

response_index was 1, cons.unemployment was 1 and cons.self-employment was 0.

When response_index was 2, cons.unemployment was 0 and cons.self-employment was

1. The response variable was indexed as 1 only when the value of the event variable in

the discrete-time data was consistent with the value of the response_index variable in a

given year, and otherwise, the response variable was indexed as 0. The individual_long

variable and the atrisk_long variable were ‘long’ versions of individual_identifier and

exposure, respectively, in the discrete-time data. The duration.unemployment (dur.une)

variable was cons.une * a ‘long’ version of the duration variable. The con.* and dur.*

variables were created when cons and dur were added to the model as explanatory

variables. The coefficients of cons.une and cons.self became the intercepts in the

contrasts for unemployment and self-employment/non-wage family business work

versus remaining in employment while the coefficients of dur.une and dur.self were the

duration effects on each contrast. An example of the data expansion for episodes for two

individuals is as follows:

Discrete-time data

Individual Dur Event Atrisk 1 1 0 1 1 2 0 1 1 3 2 1 2 1 1 1

Extended data by MLwiN

Individual_long Resp_ind Resp Atrisk_long Cons.une Cons.self Dur.une Dur.self 1 1 0 1 1 0 1 0 1 2 0 1 0 1 0 1 1 1 0 1 1 0 2 0 1 2 0 1 0 1 0 2 1 1 0 1 1 0 3 0 1 2 1 1 0 1 0 3 2 1 1 1 1 0 1 0 2 2 0 1 0 1 0 1

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The main explanatory variables included in the model which was set up through the

data preparation were duration spent in being employed and square of duration for the

effect of duration and the combination variable, the minimum wage application or not *

log hourly real minimum wage for the effect of the minimum wage. The duration

variable was centred by group defined by the variable, year in the model, which meant

that the annual mean of duration was subtracted from the corresponding individual

scores, and thus, after being centred, the value, zero indicated the mean of the centred

variable, duration, for each year (Hox, 2002). Centring duration was to avoid

multicollinearity issues possibly generated by including the transformed variable,

square of duration, in the model, which could affect model convergence problems

and/or inflated standard errors (Goldstein, 2015).7 The advantage of centring on the

variable, year is that the effect of duration can be interpreted under the control of the

year effect. Meanwhile, using square of duration for the effect of duration meant that

the quadratic relation between the duration spent in being employed and the transition to

unemployment or self-employment/non-wage family business work was tested,

assuming that the occurrence of a transition would increase or decrease with the

duration spent in being employed but at some point it could go the opposite way. This

assumption took into account older workers’ characteristics of the relatively high

proportion of temporary jobs and the plausibility of being in a critical transition period

from a major lifelong career. For the effect of the minimum wage, using the

combination variable, minimum wage application or not * log hourly real minimum

wage was to capture both the individual-varying feature and the time-varying one

within an individual, simultaneously. Minimum wage application or not in the

combination variable was indexed as 1 for the individual affected by a minimum wage

rate and 0 for those not affected, based on an employee’s hourly wage which was

derived from monthly pay and average weekly working hours one year earlier than each

concerned year. Some missing data of the derived hourly wage, which occurred due to

the absence of information about monthly pay and weekly working hours, were imputed

by expectation-maximization (EM) technique in SPSS for all employees each year,

considering the relationship with other variables, such as sex, age, the level of education

obtained, and the types of employment.8 In addition to the main explanatory variables,

sex, age, and the level of education obtained were included as additional controls in the

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model. The education obtained variable was categorised as middle school and lower

and high school and higher since the proportion of those with higher education was very

small. All variables included in the model were time-varying, except for sex.

This multilevel discrete-time event history model for competing risks constructed for

the analysis of the minimum wage effects on employment among older employees aged

55 and older was examined in the fixed-effects model estimated by the 1st order

marginal quasi-likelihood (MQL) procedure and the random-effects model estimated by

Monte Carlo Malkov (MCMC) method, using MLwiN. Since MQL produced the most

rough approximation, leading to estimates biased downward, and predictive quasi-

likelihood (PQL) raised convergence problems in MLwiN due to its instability

(Rasbash, Steele, Browne, and Goldstein, 2016), whereas MCMC method produced

new estimates for unknown parameters from the last iteration by repeating the process

of combining a prior distribution into a posterior distribution for many times (Browne,

2016), the simulation-based estimation procedure was used as an alternative to

likelihood-based estimation procedures in the random-effects model which allowed for

unobserved heterogeneity at the individual level by enabling the coefficients of constant

variables for the two binary responses to vary randomly across older employees.

The third concern, the effect of the minimum wage on older workers’ family income

was explored by questioning how an increase in the minimum wage affected the

distribution of family earnings. Since the minimum wage can influence income from

labour only, family earnings were regarded as a relevant outcome variable for the

analysis. The distribution of family earnings of employees aged 55 and older was first

reviewed for each of the two five-year periods by plotting the kernel density estimates.

The estimates were calculated per year by subtracting the logarithm of 60 per cent of the

median annual family earnings per capita for all employees’ households from the

logarithm of annual family earnings per capita for each older employee’ household. The

zero in the density plot indicates that the older individual’s family gains 60 per cent of

the median annual household earnings for all employees’ households. Typically, total

earnings that all employed family members earn in a household is used for the study of

the distribution of household earnings. However, as the focal point of this analysis was

the changes in family earnings of older employees, the annual family earnings per capita

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for each older employee were computed by dividing the total annual family earnings in

each individual’s household by the square of household size, an equivalence scale for

income estimates.9 Then the effect of the minimum wage on the distribution of family

earnings of older employees was tested for each of the two five-year periods, using OLS

and fixed-effects models. In the models, the same measures of an increase in the

minimum wage and of the changes in the employment rate of older employees by region

used in the analyses of the distributional effect on wages were employed as independent

variables and a control variable, respectively. The dependent variables were the changes

in the 10th, 50th, and 90th percentiles of log annual family earnings per capita among

employees aged 55 and over for each region and the changes in ratios between the 90th

and 10th and the 50th and 10th percentiles of log annual family earnings per capita

among employees aged 55 and older for each region.

The last concern as regards the effects of the minimum wage on older workers was

whether an increase in the minimum wage helped an older employee to exit from

poverty. This was examined for each of the two five-year concerned periods, using a

multilevel discrete-time event history model for competing risks, as in the analysis of

the minimum wage effect on older employees’ employment. Combining the individual

dataset and the household dataset of the KLIPS, event history data with an episode

defined as continuous period of being the working poor was constructed among

employees aged 55 and older. The working poor were defined as employees whose

household income was less than 60 per cent of the median annual household income for

all individuals surveyed.10 Note that household income rather than family earnings was

used for this analysis on the assumption that earned income would be the most elastic to

change a household’s finance among low-income families. Household income was

computed on a per-capita basis for figuring out an employee’s poverty status by

dividing the total annual amount of earned income, financial income, income from

estates, income from social insurance, transfer income, and other income in an

individual’s household by the square root of household size, an equivalence scale for

income estimates as in the calculation of family earnings per capita in the analysis of the

distributional effect on family earnings. Some missing data of the derived household

income per capita were imputed by expectation-maximization (EM) technique in SPSS

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for all respondents each year, considering the relationship with other variables, such as

sex, age, the level of education obtained, marital status, householder or not, and the

number of family members, after the check for whether the missing data were small

enough and at random. An episode started if an individual began to be in in-work

poverty and ended if the individual was out of poverty while remaining employed,

became unemployed, or moved into other types of employment, such as self-

employment and non-wage family business work. Accordingly, there were three types

of competing risks at which an individual was of experiencing a transition from being

working poor, and three binary responses for the multinomial response were generated

in the extended discrete-time data in MLwiN.

The main explanatory variables were duration spent in being working poor and square

of duration for the effect of duration and the combination variable, the minimum wage

application or not * log hourly real minimum wage for the effect of the minimum wage.

By the same token in the analysis of the effect on older employees’ employment, the

duration variable was centred by groups defined by the variable, year in the model, and

the quadratic relation between duration spent in being working poor and the transition to

other states was tested with square of duration. Sex, age, the level of education

obtained, householder or not, and the number of family members were included as

control variables in the model.11 All variables were time-varying, except for sex. As in

the analysis of the employment effect at the individual level, the event history model for

the effects on older employees’ exit from being poor was examined in the fixed-effects

model using MQL estimation method and the random-effects model using the MCMC

estimation method.

Qualitative Analysis

Three components of the alternative political economy framework proposed earlier for

this research on minimum wage effects - government political orientation as regards

policies, the dynamic of power, and the implicit characteristics of the minimum wage -

were compared through a contextual analysis for the two chosen five-year periods in

order to better understand the empirical results from the quantitative analyses. The

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method was chosen based on the logical reasoning of building the theoretical

framework. That is, the significant dissonance between empirical results and theoretical

predictions of the existing economic theories addresses an explanatory vacuum. This

evokes the fact that the minimum wage is fundamentally a public policy which is

framed and implemented through political policy processes and has multiple attributes

of labour and social policy as well as wage and economic policy. Although quantitative

methods are prevalent in public policy research as well, the main political elements

involved in the effect of minimum wages, such as government political orientation as

regards policies, the dynamic of power, and the implicit characteristics of the minimum

wage, cannot be quantifiable and analysed in a statistical model because they engage in

processes, contexts, and dominant political and social values.

The context and specifics of a case were assumed to be reflected in discourse which was

formed in the minimum wage policy process allowing for related political and economic

events occurred in a concerned period. In the same vein as Fischer (2003, p.45, quoted

in Hill, 2009, pp.80-81), a set of relationships between political factors concerning

minimum wage effects ‘can be constructed and discussed only through language’, and

as Hall (1993, p.289, quoted in Hill, 2009, p.76) argues, ‘the terms of political discourse

generally have a specific configuration that lends representative legitimacy to some

social interests more than others, delineate the accepted boundaries of state action …

and defines the context in which many issues will be understood’. This recognition of

the significance of discourse led to the use of an analysis of texts generated, particularly

in the policy process. However, the stress on the significance of discourse here does not

mean the negation of ‘the importance of the empirical testing of theories and hypotheses

(Hill, 2009, p.12)’ in the minimum wage research. Rather, as Hill (2009, p.12) argues, it

is ‘allowing for the possibility of alternative interpretations of evidence’.

Data and Material

The National Minimum Wage for the Year of OOOO: The Details of Deliberation and

Decision [OOOO년도 적용 최저임금 심의·의결경위] was chiefly employed for the

contextual analysis. It is the Korean Minimum Wage Council’s annual report on the

minimum wage fixing process. It has been published since 1988 by the Minimum Wage

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Council which was established under the Ministry of (Employment) and Labour [고용노

동부] by Article 12 of the Minimum Wage Act [최저임금법] and is responsible for

deliberation on the level of the minimum wage and other related issues. Although there

are slight differences in the structure of contents every year, the report mostly consists

of an overview of the Minimum Wage Commissioners, the functions of plenary sessions

and sub-committees and the procedures of deliberation and decision, records of each

plenary session and meeting held by each sub-committee, the process of negotiation on

the rate of increase in the minimum wage, Employer Commissioners’ request proposal,

Employee Commissioners’ request proposal, a report on the Commissioners’ business

field investigation, results of annual evaluation survey of minimum wage effects, and

records of workshops held out of the fixing period. It provides detailed information on

the composition of and changes in the Minimum Wage Commission members, the

debate and events occurred in each plenary session and a meeting held by a sub-

committee during the fixing period, interactions among labour, business and public

interest representative members with regard to a specific issue addressed in the

Commission, and the whole process that a decision was made and an issue was shelved

for further discussion in the next fixing period. The report also includes, albeit in limited

form, interviews among employers and employees which were obtained from the

Commissioners’ annual field investigation. Since the report informs of all of the issues

addressed and discussed in the Commission, demands, opinions and behaviours

presented by each Commissioners group, and related events held in and out of the

Commissions, it provides a suitable textual data to look at the dynamic of power among

the Commissioner groups in the minimum wage fixing process and the implicit

characteristics of the minimum wage shaped by the dynamic, which were considered

earlier in the newly proposed political economy framework as critical factors to explain

the effects of the minimum wage. Despite the merit of the report as data, this was the

first attempt to use it for studying the effects of the minimum wage in Korea.

In addition to the Minimum Wage Council’s annual report, academic literature on

economic and labour policies and on the relationships between government, business,

and labour, government reports from the National Economic Advisory Council [국민경

제자문위원회], the Ministry of Strategy and Finance [기획재정부], and the Ministry of

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(Employment) and Labour [(고용)노동부], reports from the Confederation of Korean

Industries [한국경영자총협회], the Confederation of Korean Government Employees’

Unions [대한민국공무원노동조합총연맹], and trade unions, and newspaper articles

were used, particularly to look at each government’s political orientation as regards

policy, which could not be covered by the Minimum Wage Council’s annual report, and

ultimately for constructing methodological triangulation of macro, meso, and micro

levels of analysis, which was embedded in the alternative political economy framework

proposed earlier.

Methods

Academic literature, reports from a variety of government departments and employers’

and employees’ organisations, and newspaper articles were comprehensively reviewed,

and the Minimum Wage Council’s annual reports were analysed by hand as below.

Because it was needed to figure out the flow of contents in several layers as presented

below, analysing it by hand was deemed more effective than using a data analysis

programme which basically relied on the categorisation of themes and relations between

them. Themes that emerged from the reports were first identified as the composition of

human resource among the public interest members of the Minimum Wage

Commission, roles and responsibilities of plenary sessions and sub-committees in the

Minimum Wage Council and Commission, minimum wage fixing criteria, issues

addressed and discussed by the representative members of the Commission, each

representative group’s involvement in the fixing process, and responses of frontline

government, employers and employees which were from field surveys during each

fixing period attached to the reports. Information from the data was rearranged under

each theme for each five-year period. In this rearrangement, the theme of minimum

wage fixing criteria was divided into debates on criteria and criteria practically used in

the fixing process, and issues addressed and discussed in the Commission were

reviewed by topic and graded importance on according to frequency of appearance and

intensity of discussion. Debates on fixing criteria and issues raised in the Commission

were also looked at by sub-committee in the Minimum Wage Council and Commission

in order to identify the changes in roles and responsibilities of plenary sessions and sub-

committees. Except for the composition of human resources among public interest

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members in the Commission, all of the information presented under each theme and

sub-theme were revealed by each representative group.

Face-to-face interviews which are commonly used as a useful data collection method in

a qualitative analysis were not employed in this study. The main reason was that the

report provided the full descriptions of the relevant processes, which allowed

researchers to read the contexts of the rate fixing process and any continuity and

disparity between the rates of increase. A more practical reason was time and resource

restraints in completing this PhD research. As the last two waves of the KLIPS was

released in January, 2016, almost one year behind schedule, and the multilevel discrete-

time event history model for competing risks required extremely time-consuming

preparatory work with the data, supplementary data collection by face-to-face

interviews in addition to the analysis of the Minimum Wage Council’s annual reports

covering ten years was not feasible. The number of target interviewees and accessibility

to them in terms of time, distance, expenses, and personal information were expected to

be critical barriers for preparing and conducting interviews because they were the

former representative members in the Minimum Wage Commission which consisted of

27 representatives, 9 for each group of employers, employees, and public interests, of

whom each member served a three-year term. The limitation of this research which can

be raised by the exclusion of face-to-face interviews are discussed in the Conclusion

Chapter.

Conclusion

This chapter reviewed and discussed various theoretical perspectives on the minimum

wage. Mainstream economics, particularly neoclassical theory and the monopsony

model, have long dominated this field of research. These have attempted to improve

their explanatory power in many ways, but inconsistency in empirical evidence,

especially regarding employment and the exit from poverty, does not sustain their

predictions about what the effects of minimum wages would be like. In more recent

years, the Keynesian model has developed as an alternative account of the minimum

wage effects, claiming a macroeconomic approach in the theoretical debate. However, it

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is hard to explain spillover effects in the distribution of wages and their influence on

wage dispersion within the Keynesian explanation. Setting the weakness of each branch

of economic theories aside, the first and foremost fact is that all the economic

explanations overlook the political attributes of minimum wages. Some political

economy explanations relating to the minimum wage can be found, but they focus on

what political factors as well as economic ones make people support or oppose the

minimum wage, rather than how the political attributes of minimum wages are involved

in shaping its effects on workers. Hence, an alternative political economy framework for

the research of the minimum wage effects was proposed. The framework argues that the

implicit characteristics of minimum wage policy are produced by a dynamic of power,

which results in forming an equilibrium of power among stakeholders at a particular

time and stage of the policy process, and the characteristics, which can be detected by

the discourse constructed through the policy process, shape the effects of the minimum

wage. Furthermore, minimum wage policy is likely to be punctuated mainly by

government change unless a shock in macroeconomic conditions and/or radical

mobilisation of public opinions occur. Following the logical reasoning of building the

theoretical framework, this thesis conducted both quantitative analyses using statistical

methods and contextual analysis with the review of the relevant literature and

documents.

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Notes

1 This section incorporates not only theoretical models which strictly bear the fundamental elements of the neoclassical paradigm for the labour market economics but also ones that significantly modify the key elements and are named differently, such as monopsony models, search models, and efficiency wage models. 2 Pettengill, John S. (1981). The Long-run impact of a minimum wage on employment and the wage structure. In: MINIMUM WAGE STUDY COMMISION. Report of the Minimum Wage Study Commission, Vol. 6, 63-104. Washington DC: U.S. Government Printing Office. 3 It was originally written as a discussion paper at Northwestern University in 1989, published in 1998, and was presented at the LSE in 1990. 4 As Hayes summaries in his article, Sobel (1999) shows this by advancing a pressure group model of political influence based on Gary Becker’s earlier work (1983, A Theory of Competition Among Pressure Groups for Political Influence. The Quarterly Journal of Economics, 98(3), pp.371-400). In the model, the political strength of unions was measured by union membership as a share of non-agricultural employment (a), the political power of business interests, by the top marginal corporate income tax rate (b), and a relative union/business ratio was calculated by dividing (a) by 100 per cent minus (b). Sobel found that the relative union/business ratio was strongly correlated with the real value of the minimum wage over the entire historical period in the United States. 5 As Jeju Island, the special self-governing province was included as a sampling unit area into the KLIPS from 2009, the indicators of an increase in the minimum wage and the employment rate of older employees for the first five-year period were computed for 7 metropolitan cities and 8 provinces. 6 Macros which contains syntax to read ascii file into MLwiN were used to specify a multinomial response model, to create new variables for the model, and to set up an initial simple competing risks model, as presented in The University of Bristol’s (2006) training document for multilevel discrete-time event history analysis. An example of the macro used can be found in Appendix 2. Note that the reason why an initial simple model, rather than a full model for the analysis, was set up in the macro is that convergence problem often occurs when multiple covariates are included in a model at the same time. 7 In practice, the random-effects model for the second five-year period was not converged when the duration variable was uncentred or centred on its grand mean; and the model for the first five-year period was converged but produced highly inflated coefficients and standard errors with uncentred duration or centred one on its grand mean. 8 Adams & Neumark (2005) used imputed wages to identify a group affected by living wage and the other not affected in the analysis of employment effects. For our analysis, an imputation method which produces single values for cases with missing in order to rationally classify each case into a certain group is needed. EM imputation technique which imputes a value the most likely based on the values of other related variables is a plausible option when the rate of missing data is small, and the missing are completely at random (MCAR) or conditionally at random (MAR). The percentage of missing values of derived hourly wages for all employees in our datasets is below five per cent in each concerned year; missing data in some years are turned

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out as MCAR by the Little’s MCAR test, and in other years there is no evidence that the probability of a missing value depends on the variable that is missing (NMAR). 9 A wide range of equivalence scales exist, and the square root scale has been used by recent OECD publications which compare income inequality and poverty across countries (OECD, 2013b). See OECD (2013d). OECD Framework for Statistics on the Distribution of Household Income, Comsumption and Wealth. OECD Publishing. for further details of household equivalence scales. 10 There are various ways to define and measure poverty depending on the purpose of research. The most commonly used approach is to compare each household’s income adjusted for family size to median income. OECD, EU and many other countries use 60 per cent of median household income as the poverty threshold. See OECD (2013e). The OECD Approach to Measure and Monitor Income Poverty across Countries. United Nations Economic Commission for Europe Conference of European Statisticians. Geneva. for further details of poverty thresholds. 11 The variable, marital status, were not included in the final model since other types other than ‘married’ rarely found among the cases included, which caused model convergence problem.

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Chapter Six The Factual Context for the Case Study of South Korea

Introduction

This chapter reviews the national minimum wage system and the labour market status of

mature workers aged 50 and over in South Korea to provide background knowledge

before presenting the analysis results. It includes a brief history of the minimum wage

law, the current system, and the changes in its level and influence; and then, how

potentially Korean older workers can be affected by the minimum wage is assessed

through surveying their participation in the labour market, employment, unemployment,

types of employment, industry sectors and occupations they are involved in, their wage

levels and the level of income security guaranteed by their wage, and disadvantages

they face in the workforce. Then, empirical studies about the effects of the minimum

wage in Korea are also looked at in the last section, with a special interest in older

workers.

The National Minimum Wage

The statutory minimum wage in South Korea, with the purpose of ‘stabilising workers’

life and improving the quality of the labour force by guaranteeing a certain minimum

level of wages to workers, thereby contributing to the sound development of the

national economy (Minimum Wage Act Art.1)’ was enforced in 1988 under the

influence of the massive eruption of the labour union movement in the late 1980s (Yun,

A-L, 2014). The Labour Standards Act enacted in 1953 provided the legal grounds for

the statutory minimum wage, but it had not been implemented until the end of 1986

under the Korean government’s judgement at that time that the statutory minimum wage

was not acceptable to the national economy. The Minimum Wage Act was enacted in

December 1986 and came into effect in January 1987, covering only manufacturing

companies with ten employees and more. In 1988 the coverage of the minimum wage

rate was extended into the mining and construction sectors with 10 employees or more

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as well as manufacturing. In the following year, the coverage was further extended to all

companies with ten employees or more; and after several amendments, it was finally

applied to all companies or workplaces with one employee or more in 2000. The

national minimum wage, however, became widely known to small and medium-sized

employers and employees as well as the public in practice as the number of non-regular

workers increased sharply in the mid-2000s influenced by the International Monetary

Fund (IMF)’s bailout programme following the 1998 Korean financial crisis. All

employees as defined in the Labour Standards Act, regardless of their employment

status or nationality, currently benefit from the statutory minimum wage, except

domestic workers, the seamen and those with a very limited working capacity due to

their physical and mental disabilities. But those engaged in an apprenticeship for less

than three months can be legally paid 10% less than the hourly rate of the minimum

wage. From 2007, the subminimum wage was introduced for those engaged in

surveillance or intermittent work who had been exempt from the minimum wage due to

their exclusion from the application of the Labour Standard Act under Article 63, Clause

3 of the Act.1

The minimum wage rate is fixed annually by the government based on the proposal the

Minimum Wage Commission [최저임금위원회] submits. The Commission consists of

27 representatives, 9 for each group of workers, employers, and public interests, and

should put forward a newly proposed rate to the government by the 29th of June every

year. The government should announce a new minimum wage rate by the 5th of August

in the same year, and a new rate takes effect from the 1st of January of the following

year (Figure 6.1).2 The Minimum Wage Commission is outwardly a tripartite

organisation with division of power among the three groups, but the public interest

members who are experts, mostly in economics or business administration, with

profound knowledge and experience, such as public officials, professors, and

researchers of an officially authorised research institute, actually take the lead in fixing

a new rate (Yun, A-L, 2014). Meanwhile, workers’ living costs, the wages of similar

workers, labour productivity, and income distribution ratio are stated in the Minimum

Wage Act as the minimum wage fixing criteria to be taken into account. However, in

many cases the main reasons for the low level of the minimum wage provided by the

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government are economic conditions including the inflation rate and the capacity of

employers to pay especially in the case of small and medium-sized firms. This implies

that economic conditions are, in practice, more critical than the indicators stated in the

law.

Figure 6.1 Process of Minimum Wage Deliberation and Determination in South Korea

Source: The Minimum Wage Council (http://www.minimumwage.go.kr)

The current (2015) minimum wage rate is 5,580 KR won (£ 3.32 or $ 5.08 at the

exchange rate of February 2015). Compared to 462.50 KR won (£ 0.37 or $ 0.63 at the

then average yearly exchange rate) in 1988 when the minimum wage was introduced,

the wage rate has risen by twelve times during the past 27 years. The rate of increase

ranges from 4.9 per cent to 18.8 per cent excluding the three exceptionally low or high

rates in three years. The average rate is 9.7 per cent which is slightly higher than 8.3 per

cent, the median, owing to the exceptional cases (Table 6.1). Looking at the increases

sanctioned by the government, the average uplift rate was 13.8 per cent during the Roh,

Tae-Woo government (1988-1993) which represented the conservative ruling party but

ushered in a new ‘Democratic Era’ in Korea, 8.1 per cent during, so called, ‘Moon Min’

government, a civilian government in which Kim, Young-Sam took office (1993-1998),

9.0 per cent during the Kim, Dae-Jung government (Government of the People, 1998-

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Table 6.1 Changes in Minimum Wage Rates in South Korea (KRW/GBP/USD; %; thousand persons)

Year

Hourly minimum wage rate* Increase

(%)

Number of workers covered

(A)

Number of beneficiary workers (B)

Influence rate** KRW

(₩) GBP(£) USD($)

2015 5,580 3.32 5.08 7.1 18,240 2,668 14.6 2014 5,210 3.00 4.95 7.2 17,734 2,565 14.5 2013 4,860 2.84 4.44 6.1 17,510 2,582 14.7 2012 4,580 2.57 4.06 6.0 17,048 2,343 13.7 2011 4,320 2.43 3.90 5.1 16,479 2,336 14.2 2010 4,110 2.30 3.55 2.75 16,103 2,566 15.9 2009 4,000 2.01 3.13 6.1 15,882 2,085 13.1 2008 3,770 1.87 3.42 8.3 15,351 2,214 13.8 2007 3,480 0.00 0.00 12.3 14,968 1,784 11.9

2005.09 ~ 2006.12 3,100 1.76 3.24 9.2 14,584 1,503 10.3

2004.09 ~ 2005.08 2,840 1.52 2.77 13.1 14,149 1,245 8.8

2003.09 ~ 2004.08 2,510 1.20 2.19 10.3 13,631 1,035 7.6

2002.09 ~ 2003.08 2,275 1.17 1.91 8.3 13,216 849 6.4

2001.09 ~ 2002.08 2,100 1.12 1.68 12.6 7,152 201 2.8

2000.09 ~ 2001.08 1,865 1.00 1.44 16.6 6,692 141 2.1

1999.09 ~ 2000.08 1,600 0.93 1.42 4.9 5,031 54 1.1

1998.09 ~ 1999.08 1,525 0.79 1.28 2.7 5,136 23 0.4

1997.09 ~ 1998.08 1,485 0.64 1.06 6.1 5,350 124 2.3

1996.09 ~ 1997.08 1,400 0.90 1.47 9.8 5,240 127 2.4

1995.09 ~ 1996.08 1,275 1.01 1.58 9.0 5,381 103 1.9

1994.09 ~ 1995.08 1,170 0.96 1.52 7.8 4,864 103 2.1

1994.01 ~ 1994.08 1,085 0.88 1.35 8.0 4,916 102 2.1

1993 1,005 0.83 1.25 8.6 5,045 228 4.5 1992 925 0.67 1.18 12.8 4,620 392 8.5 1991 820 0.63 1.12 18.8 4,556 393 8.6 1990 690 0.55 0.97 15.0 4,386 187 4.3 1989 600 0.55 0.89 26.3 3,053 328 10.7 1988 462.50 0.36 0.63 - 2,267 94 4.2

Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) Notes: Until the year 2002, the number of workers covered refers to regular employees only. * Hourly minimum wage rates in KRW were converted into GBP and USD at the average yearly exchange rate for

each year, except 2015 for which the average monthly exchange rate for February, 2015 was used. ** Influence rate = (B)/(A)*100.

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2003), which was the first regime taken by the democratic party in Korean history of

politics, 10.6 per cent during the Roh, Moo-Hyun government, another democratic

regime (2003-2008), 5.2 per cent during the Lee, Myung-Bak government (2008-2013),

which claimed to stand for neoliberalism, and 7.4 per cent for four years of the Park,

Geun-Hye government (2013-2017) which showed a strong conservative inclination.

As shown in Figure 6.2, minimum wage rates have increased at rates which are mostly

higher than annual inflation rates and GDP per capita growth in South Korea. The rates

have been over 40 per cent of the median wage of full-time workers since 2007. This is

analogous to the level at which most countries set their minimum wages; however,

based on the mean wage of full-time workers, the minimum wage has still remained at a

little higher than 30 per cent. The fact that the level of minimum wages relative to the

mean wage is much lower than the level relative to the median implies the magnitude of

wage inequality. The minimum wage is also short of the minimum cost of living in

South Korea. While the minimum cost of living per month for households with two

members, which the Ministry of Health and Welfare set in 2015, was 1,051,048 KR won

(£ 625.3 or $ 956.9 at the exchange rate of February, 2015), the monthly earnings,

which a minimum wage worker was able to earn with working for 8 hours a day, 21

days a month, was 937,440 KR won (£ 557.7 or $ 853.5 at the exchange rate of

February, 2015), 89.2 per cent of the minimum cost of living.

Figure 6.2 Growth in Minimum Wage, Annual Inflation (CPI) & GDP per Capita, and Minimum Wage Relative to Average Wage of Full-Time Workers in South Korea, 1988- 2013 (%)

Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) & OECD.Stat (http://stats.oecd.org/Index.aspx); Figures in Appendix 3.

-20.0

0.0

20.0

40.0

60.0

19 88

19 89

19 90

19 91

19 92

19 93

19 94

19 95

19 96

19 97

19 98

19 99

20 00

20 01

20 02

20 03

20 04

20 05

20 06

20 07

20 08

20 09

20 10

20 11

20 12

20 13

20 14

Growth in minimum wage Change in annual inflation Growth in GDP per capita

153

The ‘influence rate’ which refers to the ratio of workers benefiting from the minimum

wage increase relative to the workers covered as a whole shows that the minimum wage

has obviously extended its influence, in particular, since the early 2000s (Table 6.1).

The rates remained at a very low level during the 1990s with the exception of the

several years after 1989 when the coverage of the minimum wage was extended from

companies in manufacturing, mining, and construction to all companies with 10

employees or more has been over 10 per cent since September of 2005. This is

attributed ostensibly to the further expansion of the coverage to all companies with one

employee or more in 2000; but it is most likely that the sustained increases in the

influence rates since the early 2000s is owed largely to the rise in the number of

precarious, low paid jobs caused by labour market flexibilization after the economic

recession in 1998.

Figure 6.3 The Share of Employees Paid Less than the Minimum Wage in South Korea, 2001-2013 (%)

Source: Minimum Wage Council, (2014), p.142

Under the Minimum Wage Act, an employer who fails to comply with the obligation to

pay at least minimum wage is expected to be punished by imprisonment of up to three

years or a fine not exceeding 20 million KR won (£ 11,899.2 or $18,208.3 at the

exchange rate of February 2015), or both. But there is neither the official figures of

noncompliance nor specific measures of a government crackdown on it, which implies

that noncompliance is rarely caught and sanctioned. Even when employers paying less

than the minimum wage are caught, they are scarcely ever penalised. The Ministry of

Employment and Labour caught 832 cases in which organisations paid less than the

4.3 4.9 4.9 5.8

8.1 9.4

11.9 10.8

12.8 11.5 10.8

9.6 11.4

0.0 2.0 4.0 6.0 8.0

10.0 12.0 14.0

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

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minimum wage in 2014, but only 16 were fined (People's Solidarity for Paricipatory

Democracy [참여연대], 2015). According to People’s Solidarity for Participatory

Democracy (2015), a Korean citizen campaign group, although 33 businesses violated

twice, and 2 companies three times within 2014, only one among the habitual violating

organisations was subject to judicial action. The level of noncompliance can be weighed

up by the share of wage earners paid less than the minimum wage, and the share has

increased by 2.7 times, from 4.3% in 2001 to 11.4% in 2013 (Figure 6.3). According to

the employer representative’ proposal submitted to the Minimum Wage Commission,

98.7 per cent of wage earners paid below the minimum wage is employed in small and

medium-sized businesses with 300 employees or under, and 88.5 per cent of them works

for small-scale establishments with 30 employees or under, such as convenient stores

and restaurants (The Minimum Wage Council [최저임금위원회], 2014).

Older Workers in the Labour Market

Older workers are one of the most vulnerable groups in the labour market in South

Korea, particularly in terms of insecure employment, low pay, and a high poverty rate.

The fact that there is a big gap between 53 years old, the average age of retirement from

a lifetime major workplace (The National Statistical Office of Korea [통계청], 2013)

and 71.1 years old for men and 69.8 years old for women, the average effective

retirement age from the labour force which is the second highest among the OECD

countries (OECD, n.d.) suggests that many older people are economically active and

employed in a new workplace after retiring from their lifetime jobs, and at the same

time that it is highly possible that they are in low-quality, low paid jobs due to the

difficulty of career changes.

The labour force participation rate and the employment-to-population ratio among older

workers aged 50 and over are very high and have steadily grown, except during the

credit card lending crisis in 2003 and the financial crisis in 2008-09, while the

unemployment rate has remained low at around 2-3 per cent. As shown in Figure 6.4,

the labour force participation rates have increased from 72.5 per cent in 2000, 73.8 per

cent in 2005 to 78.8 per cent in 2014 among those aged 50-54, from 64.1 per cent in

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2000, 64.9 per cent in 2005 to 72.6 per cent in 2014 in the 55-59 age group, from 54.3

per cent in 2000, 54.5 per cent in 2005 to 59.8 per cent in 2014 among the 60-64 age

group, and from 29.6 per cent in 2000, 30 per cent in 2005 to 31.9 per cent in 2014

among those aged 65 and older. The employment rates have also risen from 70.2 per

cent in 2000, 72.1 per cent in 2005 to 77.2 per cent in 2014 in the 50-54 age group, from

62.2 per cent in 2000, 63.1 per cent in 2005 to 70.8 per cent in 2014 in the 55-59 age

group, from 53 per cent in 2000, 53.4 per cent in 2005 to 58.3 per cent in 2014 in the

60-64 age group, and from 29.4 per cent in 2000, 29.8 per cent in 2005 to 31.3 per cent

in 2014 among those aged 65 and older. Such growth might be attributed to the rapid

population ageing and the growing portion of the older population. However, Figure 6.5

shows that the growth rate of the labour force participation and of employment among

those aged 50 and older surpassed the rate of increase in the population of the age

group, except the two financial crisis periods. This implies that there has been

substantial rise in the labour force participation and in employment among people aged

50 and older, especially since 2005.

Figure 6.4 Changes in Labour force Participation, Employment and Unemployment among Workers Aged 50 + in South Korea, 2000-2014 (%)

Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year; Figures in Appendix 4.

156

Figure 6.5 Changes in the Growth Rate in Population, Labour force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)

Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year, Author’s calculation; Figures in Appendix 5.

The high rates of the labour force participation and of employment among older

workers in South Korea have been largely due to the high proportion of the self-

employed and/or workers engaging in agriculture. But, in recent years the number of the

self-employed has significantly fallen while the number of wage workers has

appreciably risen among people aged 50 years and older (Figure 6.6). The self-

employed have decreased by 5.3 percentage points, from 36.9 per cent in 2007 to 31.6

per cent in 2013, among people aged 50-59 years old and also by 6.7 percentage point,

from 50.1 per cent to 43.4 per cent, among those aged 60 years and over in the same

period. On the contrary, employees have increased during the same period from 54.3 per

cent to 61.6 per cent among people aged 50-59 years old and from 37.1 per cent to 45.8

per cent among those aged 60 years and over. However, older workers are more likely to

engage in irregular employment. The proportion of irregular workers is around 40 per

cent among older workers aged 50-59 years old and over 65 per cent among those aged

60 years and over, which is much higher than around 30 per cent, the proportion of

irregular workers among those aged 15-64 years old. In addition, recalling 53 years old,

the average age of retirement from a lifetime workplace, the changes in the type of

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employment implies that older workers who have once retired from a workplace and

seek a job are more likely to have an irregular one. While the proportion of regular

workers has risen from 57.4 per cent in 2007 to 62.9 per cent in 2013 and the percentage

of irregular workers has fallen from 42.6 per cent to 37.1 per cent in the same period

among those aged 50-59 years old, those percentages among those aged 60 years and

over have developed in reverse, being reduced from 34.0 per cent in 2007 to 32.5 per

cent in 2013 in regular workers and increased from 66.0 per cent to 67.5 per cent in

irregular workers in the same period.

Figure 6.6 Changes in Employment Status of Workers Aged 50+ in South Korea, 2007- 2013 (%)

Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment and for Non-wage Workers) of the Economically Active Population Survey [경제활동인구조사 (근로형태별, 비임금근로자) 부가조사], Every August in Each Year, Author’s calculation; Figures in Appendix 6.

Looking at the employment of older workers by industry, there are considerable changes

in the proportion of those engaging in agriculture and in business, personal, public

service and others, whereas the proportion of people engaged in wholesale and retail,

hotels and restaurants remians steady at around 20 per cent (Figure 6.7). The percentage

of workers aged 55-79 years old who are engaged in agriculture has dramatically

decreased from 33.6 per cent in 2005 to 19.2 per cent in 2014. In constrast, the

proportion of those engaging in business, personal, public service and others has

significantly increased from 25.3 per cent to 33.5 per cent during the same period. We

may not be able to affirm that these changes mean that the number of low-wage

employees has increased among older workers since business, personal, public service

and others cover a wide range of industries, including sewerage, waste management,

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and environmental industry (E), real estate and leasing service (L), professional

scientific and technical service (M), business facilities management and support

services (N), public administration and social security (O), education service (P), health

and social work (Q), arts, sports, recreation related service (R), repair and other personal

services (S), undifferenciated employment & production activities of households for

own use (T), and activities of extraterritorial organisations (U). However, Jung, S-M

(2011) assumes, based on her analysis of the employment features among older workers

with the raw data of the Economically Active Population Survey in 2010, that the

increase in business, personal, public services and other services among older workers

since 2005 is attributed largely to the growth in business facilities management and

support services (N), public administration and social security (O), and health and social

work sector (Q), all of which provide mostly low-wage jobs.3

Figure 6.7 Changes in Industrial Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)

Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사 ], Every May in Each Year, Author’s calculation; Figures in Appendix 7.

159

In the same vein, the most remarkable change in occupational composition among older

workers is that the proportion of skilled agricultural, forestry, and fishing workers has

reduced from 31.3 per cent in 2005 to 17.8 per cent in 2014 while the percentage of

craft and equipment, machine operation and assembly workers has risen from 14.2 per

cent to 21.0 per cent during the same period, and the proportion of elementary workers

has been the most in the composition since 2009 (Figure 6.8). This implies the influx of

older workers into low-wage jobs. According to Jung, S-M’s (2011) cross analysis of

occupations and industries where older workers were in 2010, 82.8 per cent of older

workers in business facilities management and support services (N) was elementary

workers, and of those, 88.9 per cent was occupied with building cleaning or security

services. Further, the transportation (H) occupied the most (81.0 per cent) of the

category, electricity, transportation, communication and finance in industrial

composition among workers aged 55-79, and 83.0 per cent of older workers in

transportation sector was simple machine operation workers.

Figure 6.8 Changes in Occupational Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)

Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사 ], Every May in Each Year, Author’s calculation; Figures in Appendix 8.

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The wage level of older employees aged 50 and over sharply falls with age. Nam, J-R’s

(2014) analysis of older workers in the labour market with raw data of the

supplementary results (by Type of Employment) of the Economically Active Population

Survey [경제활동인구조사 (근로형태별) 부가조사] provides the average wages of age

groups, which allows to find the relative level of wages among older workers (Figure

6.9). The average monthly wage of employees aged 50-59 years old was 2,408,000 KR

won (£ 1,353.0 or $1,912.4 at the then monthly exchange rate) in March 2014, 94.0 per

cent of the average monthly wage of employees aged 30-49 years old. However, the

average monthly wages among those aged 60-64 years old and 65 and over were 61.7

per cent and 34.9 per cent respectively in the same year. The average hourly wages of

older workers, which are calculated by dividing the average monthly wage by hours

worked because people rarely know about their hourly wage and monthly pay is

collected as information about wage in most of survey data in Korea, are comparable

with the average monthly wages. It should be noted that older employees aged 50-64

years old have worked longer hours than employees aged 30-49 years old until very

recently, and thus their hourly wages have been less than those aged 30-49 years old,

except since March 2013 among employees aged 60-64. On the other hand, the average

weekly hours for which employees aged 65 and older worked has been significantly

reduced, and the gap of weekly hours worked between employees aged 65 and over and

those aged 30-49 has been growing.

Figure 6.9 Changes in the Ratios of Monthly Wage & Hourly Wage among Employees 50+ to among Those Aged 30-49 and Weerkly Hours Worked by Age Group in South Korea (%, hrs)

Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment) of the Economically Active Population Survey [경제활동인구조사 (근로형태별) 부가조사], Each Year; Recalculated by author based on figures from Nam, J-R (2014), pp.15-16; Original figures in Appendix 9.

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Figure 6.10 shows the percentage of older workers earning less than 50 per cent of the

median wage among wage workers aged 15 years old and over. It informs of the level of

income security among older workers which is generated from their wages. In 1987, the

proportion of low paid older employees aged 50-54 years old, 55-59 years old, and 60-

64 years old was 5.69 per cent, 6.43 per cent, and 6.64 per cent, respectively. They were

the same with or slightly below 6.64 per cent, the proportion of low paid employees

aged 15-64. However, the number of the low paid has grown rapidly, in particular,

among older workers. In 2012, the percentage of employees aged 50-54 years old, 55-59

years old, and 60-64 years old earning less than 50 per cent of the median wage was

13.17 per cent, 17.74 per cent, and 27.9 per cent, respectively, while the percentage of

employees aged 15-64 years old was 10.02 per cent. The proportion of low paid older

employees aged 50-64 years old has sharply decreased after the peak for the period from

2000 to 2007. However, it should be also noted that the gap in the proportion had been

much larger during the peak between older employees and employees aged 15-64, and

the gap after the peak still remains higher, except those aged 60-64 years old, than

before the peak. Moreover, since the data analysed in Figure 6.10 concern only

employees in organisations with more than 10 staff, it is likely that the proportion of

older employees earning less than 50 per cent of the median wage is larger in practice.

Figure 6.10 Changes in the Proportion of Older Employees Earning Less Than 50% of the Median Wage in South Korea (%)

Source: Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], each year; recited from Ahn, J-K & Yoo, S-H (2015); Figures in Appendix 10.

0 5

10 15 20 25 30 35 40 45 50

19 87

19 88

19 89

19 90

19 91

19 92

19 93

19 94

19 95

19 96

19 97

19 98

19 99

20 00

20 01

20 02

20 03

20 04

20 05

20 06

20 07

20 08

20 09

20 10

20 11

20 12

50-54 years old 55-59 years old 60-64 years old 15-64 years old

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This brief review of Korean older workers in the labour market so far does not provide

convincing information on the proportion of minimum wage workers among older

employees, the proportion of older employees among minimum wage workers, or

changes in those proportions.4 However, figures on their employment status, industrial

composition, and occupational composition indicate that older workers have become

more prevalent in low paid jobs, and the figures regarding their wages indirectly support

the assumption that more older workers are becoming affected by the minimum wage.

In particular, recalling the fact that the level of minimum wage rates has been about 40

per cent of the median wage of full-time employees, the wage level among older

employees and the change in the proportion of older employees earning less than 50 per

cent of the median wage imply that older employees not only occupy significant portion

of minimum wage workers but also contribute to the growth of the share of those paid

less than the minimum wage.

One thing to add as regards the rise of low paid older workers is that this may be

interlinked with the increase in the unemployment of young people and in the rise in

female labour force participation. As the number of high-quality jobs have significantly

decreased, influenced by the IMF bailout programme, young people who largely

received higher education, unlike their parent’s generation, began to delay entering the

labour market until they got a permanent job in a large firm or in government. Most

small and medium-sized firms which have no capacity to meet young people’s needs

have been confronted by labour shortages and tended to hire older people and women.

As the labour market has dramatically changed since the early 2000s, and men’s

employment has become more insecure, many women who were anxious about

financial shortages in their families started to engage in the labour market. This seems

to have brought about a significant change in the perception of adult children’s support

for their parents. Women’s participation in the labour market triggered by the concern

over family income provided the adult children with a good excuse to refuse financial

support and caregiving for their parents. Accordingly, it would be assumed that older

people tend to be placed in a situation in which they have no choice but to take care of

themselves and participate in paid jobs much more actively than their predecessors.

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Further to the basic statistical information on Korean older workers, it would be useful

for understanding their status in the labour market to look at the scope and degree of

disadvantages and discrimination that they face. In Korea, the Act on Prohibition of Age

Discrimination in Employment and Elderly Employment Promotion [고용상 연령차별

금지 및 고령자고용촉진에 관한 법률] was enacted in 2008, amending the former

Employment Promotion for the Aged Act [고령자고용촉진법]. This Act prohibits

employers from discriminating against individuals on the basis of age regarding

recruiting, hiring, salary, education and training, placement, transfer, promotion,

retirement, and dismissal. Under the Act, an employee who has experienced

discrimination by age may file a petition with the National Human Rights Commission

[국가인권위원회]. The Commission investigates claims and recommend corrective

action to employers. If the employers fail to comply with the Commission’s advice

without a justifiable reason, and the discrimination is substantial, the Commission

notifies the cases to the Ministry of Employment and Labour [고용노동부] with non-

binding advisory opinions. The Ministry of Employment and Labour can issue an order

to employers to rectify the discriminatory treatment. Failure to comply with the

Ministry’s order may result in an administrative fine of up to 30 million Korean won

(about £ 20,000 or $ 25,000 at the exchange rate of June, 2019), and discriminatory

treatment in recruiting and hiring, in particular, may cause a criminal fine of up to 5

million Korean won (about £ 3,400 or $ 4,200 at the exchange rate of June, 2019),

regardless of the petition process through the National Human Rights Commission.

Since the Act on Prohibition of Age Discrimination in Employment and Elderly

Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률] was

implemented, the number of petitions regarding age discrimination committed by

employers which were filed in the National Human Rights Commission has

significantly increased from 62 cases in 2008 to 138 cases in 2009, 196 cases in 2010,

and 151 cases per year on average between 2011 and 2013 (The National Human Rights

Commission of Korea [국가인권위원회], 2014). 1,214 cases of 16,912 petitions which

have been filed for discrimination with the Commission until 2014 were age

discrimination, and employment-related cases including recruiting (368 cases, 39.7%),

hiring (303 cases, 32.7%), wage (12 cases, 1.3%), non-wage reward (4 cases, 0.4%),

164

training (9 cases, 0.9%), placement (46 cases, 5.0%), promotion (16 cases, 1.7%),

retirement (38 cases, 4.1%), dismissal (65 cases, 7.0%) and others (26 cases, 2.8%)

accounted for 76. 5 per cent (928 cases) of all age discrimination cases (The National

Human Rights Commission of Korea [국가인권위원회], 2014).

Unfortunately, there is no data which allow us to overview the characteristics of age

discrimination in the Korean labour market. Moreover, studies of age discrimination

relating to employment and labour have recently emerged in the line of research on

ageism which started to be developed since 2010 (Kim, M-J and Yoon, K-Y, 2017).

Kim, D-S and Mo, S-H (2011) analysed 52 cases investigated by the National Human

Rights Commission [국가인권위원회] to find causes of age discrimination in

employment. They found that ageism, including stereotypes and discriminative

attitudes, is the most prominent and widespread factor to affect age discrimination. Kim,

D-S and Mo, S-H (2012) also surveyed 300 personnel managers in small and medium-

sized firms to figure out how personnel managers’ stereotypes of older workers affect

the managers’ discriminatory perceptions of older workers with regard to employment,

and found that the higher degree of stereotypes a personnel manager had, the stronger

his discriminatory perceptions of older workers were in terms of employment.

Empirical Studies about the Minimum Wage Effects

The effects of the minimum wage had rarely been explored in South Korea before the

end of the 1990s and began in earnest after the mid-2000s. A few empirical studies

include the effects of the minimum wage on older employees, particularly on their job

retention or new hires. Findings are not consistent as the ones in other countries are.

The existing studies about the minimum wage effects in Korea (Table 6.2) focus largely

on the employment effect, but there is no consensus on the issue among the research

findings. Kim, Y-S, Gwon, H-J, and Kim, J-J (2004), Lee, S-K (2007), Lee, B-H (2008),

Ahn, T-H (2009), Kang, D-U (2010), Kim, J-Y (2011), Kim, Y-S (2011), and Hwang, S-

J (2015) reported no significant disemployment effects or positive effects. Kim, Y-S,

Gwon, H-J, and Kim, J-J (2004) who conducted a time-series analysis using monthly

data from the Economically Active Population Survey [경제활동인구조사] for the

165

period of January 1988 to March 2004 found that the minimum wage had no significant

effect on employment and even increased employment among women and some age

groups depending on explanatory variable manipulation. Lee, S-K (2007) who

examined the change in employment by job and by organisation as a consequence of the

change in the real minimum wage, using the supplementary data of the Economically

Active Population Survey [경제활동인구조사 부가조사] for the period of 2000-2006

and the Workplace Panel Survey(WPS) [사업체 패널조사] for the period of 2003-2004

also found neutral or positive employment effects, based on a fixed-effects model as

well as a simple regression model. Similarly, Lee, B-H (2008), using the supplementary

data (by Type of Employment) of the Economically Active Population Survey [경제활동

인구 (고용형태별) 부가조사] and the Economically Active Population Survey [경제활

동인구조사] for the period of 2004-2005, concluded that the minimum wage did not

have disemployment effects, in particular, among women, younger workers, and older

workers, from his analysis with difference-in-difference of the change in employment

among employees who earned a minimum wage and those who made a little more than

the minimum wage. Ahn, T-H (2009) explored the odds of job retention among wage

workers after an increase of the minimum wage through a linear probability model with

fixed-effects using the Korean Labour and Income Panel Study (KLIPS) [한국노동패널

조사] for the period of 2001-2007 and did not find any considerable negative effects on

employment. Kang, D-U (2010) examined the effect of the minimum wage on the

employment rate of employees with disabilities using Survey on the Employment Status

of the Disabled in Business 2008 [2008년 사업체 장애인고용 실태조사]. He found

through a quasi-experimental analysis with dummy variables and time-series analysis

that if a minimum wage raises the wage of employees with disabilities by 1 percentage

point, their employment will decrease by 0.58 percentage point in the short term, which

was not a considerable amount, and moreover, no significant disemployment effect was

found in the long term. Kim, J-Y (2011), who conducted an analysis of the odds of job

retention among wage workers after an increase in the minimum wage using the KLIPS

[한국노동패널조사] for the period of 1998-2008 and probit models plus a linear

probability model with fixed-effects and random-effects, also found no statistically

significant disemployment effect. Likewise, Kim, Y-S (2011), who examined

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Table 6.2 Empirical Studies about the Effects of the Minimum Wage in South Korea

Study Data sources Outcome measures/Method Main results Other remarks Employment Kim, Y-S, Gwon, H-J, & Kim, J-J 2004

Economically Active Population Survey (monthly) [경제활동인구조사 (월별)], Jan. 1988 – Mar. 2004

Time-series analysis: OLS (Ordinary least squares)

model, GLS (Generalised least squares) model, ARMA (Autoregressive- moving-average) model

No significant employment effect and even positive employment effects among women and some age groups, such as employees aged 25-54 years old and those 55 and older, depending on explanatory variables, the ratio of minimum wages to mean wages and logarithms of minimum wages

Lee, S-K 2007

Supplementary data of the Economically Active Population Survey [경제활동인구조사 부가조사], 2000-2006;

Workplace Panel Survey (WPS) [사업체 패널조사], 2003-2004

Fixed-effects models; Simple regression model

Neutral employment effects among the employees as a whole and even positive effects among the low paid depending on explanartory variables, logarithm of a real minimum wage divided by a real mean wage each year by job unit and logarithms of a real minium wage

Lee, B-H 2008

Economically Active Population Survey [경제활동인구조사] & supplementary data (by type of employment) of the Economically Active Population Survey [경제활동인구조사 부가조사 (고용형태별)], 2004-2005

Quasi-experimental analysis: Difference-in-difference

No statistically significant positive or negative effects on job retention and new hires among women, younger workers aged 15-24 years old and older workers aged 55 years old and over as well as the employees as a whole

Jeong, J-H & Lee, B-H 2008

Economically Active Population Survey [경제활동인구조사] & the Wage Structure Survey [임금구조기본통계조사], 2000-2006

Time-series cross-section analysis:

Poolded OLS model, Fixed-effects model, PCSE (Panel-Corrected

Standard Errors) model;

Quasi-experimental analysis: Difference-in-difference

Negative employment effects among younger workers aged 20-24 and older workers aged 55 and older compared to positive effects among those aged 25- 54 years old;

No statistically significant positive or negative effects

on job retention and new hires in any age group as well as among the employees as a whole

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Nam, S-I 2008

Data on caretakers of 132 apartment complexes around the capital area, 2007

Reduced form model: Random-effects model

Increase in wage by over 10 % but decrease in employment by 3.5 % and working hours by 13.5% caused by the extended enforcement of the minimum wage to surveillance or intermittent work

Those engaged in surveillance or intermittent work only

Ahn, T-H 2009

Korean Labor and Income Panel Study (KLIPS) [한국노동패널조사], 2001-2007

Fixed-effects model No significant employment effect

Kim, W-Y 2010

Time-series data from the Occupational Employment Statistic (OES) [산업·직업별 고용구조조사], 2000-2008

Time-series analysis: Arellano-Bond difference

GMM(Generalised Method of Moments)

1.6% decrease in employmnet among female workers aged 15-24 years old ; 1.1% decrease among male workers aged 15-19 years old; no significant employment effect among younger workers as a whole

Younger employees aged less than 25 years old only

Kang, D-U 2010

Survey on the Employment Status of the Disabled in Business 2008 [2008년 사업체 장애인고용 실태조사];

Unofficial inside data of the Minimum Wage Council and the Ministry of Employment & Labor, 2000-2008

[Short-term effect] Quasi- experimental analysis:

Multiple regression model [Long-term effect] Time-

series analysis: Correlation between

employment rate among the disabled and increase rate in the minimum wage

In short term, 0.58% decrease in employment among the disabled by 1% increase in their wage, which is not considerable amount; but , in long term, no significant disemployment effect

Employees with disabilities only

Kim, J-Y 2011

KLIPS, 1998-2008 Quasi-experiment analysis: Pooled Probit model, Fixed-effects model, Random-effects model

No statistically significant employment effects

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Kim, Y-S 2011

Economically Active Population Survey (monthly) [경제활동인구조사 (월별)], Jan. 1990 – Apr. 2010

Time-series analysis; OLS model, GLS

(Generalised Least Squares) model, ARMA (Autoregressive-Moving- Average) model

No significant disemployment effect and even positive effects on employment among those 15-19 years old and employees aged 25-54 (10% significance level) during the period of 1990-2011; positive employment effects after 2000 (5% significance level), except among those aged 55 and older

Kim, D-I 2012

Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], 2008-2010

Time-series analysis: First-difference

6.6% reduction in new hires among the bottom 5% wage bracket; 3.8% reduction among of male younger workers aged below 29 years old at the bottom 5-15% wage bracket (5% significance level); 2.7% reduction among male employees aged 30-54 years old at the bottom 5-15% wage bracket (5% sig. level); 2.0% (10% sig. level) and 2.9% (5% sig. level) reduction among female workers aged below 29 years old at the bottom 5 % and 5-15% wage brackets, repectively; 34.7% reduction among female older employees aged 55 and older at the bottom 5% wage bracket (10% sig. level); 9.3% reduction in small companies with below 5 employees (10 % sig. level); 13.8% reduction in mining and manufacturing sector (5% sig. level); and 11.7% reduction in whole sale & retail and restaurant & hotels sector (1 per cent sig. level), all of which are caused by 1% increase in the minimum wage

Kim, M-S, Kim, Y-M, & Park, T-S 2013

KLIPS, 2000-2008 Probit model 3.7% decrease in employment among aged 24 years old or less with a high school deploma by a 10% increase in the real minimum wage

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Kim, Y-M 2014

Supplemetary data (August) of the Economically Active Populaton Survey [경제활동인구조사 8월 부가조사], 2001-2014

Probit model Increase in wage among the employees as a whole by increase in the minimum wage, higher increase in service sector than in manufacturing;

Reduction in odds of becoming an employee on contract for one or more years, higher reduction in manufacturing than in service sector

Employees in manufacturing and service industries only

Hwang, S-J 2015

Wage Structure Survey [임금구조기본통계조사], 2009-2012 & 2002-2008

Fixed-effects model No statistically significant employment effects

Wage Mobility Kim, J-G 1999

Wage Structure Survey [임금구조기본통계조사], 1988-1995

Simulation analysis Less than 0.03% increase in the share of the bottom 20% in the wage distribution until 1993; no changes of the share after 1993

Kang, B-G & Sung, H-Y 2009

KLIPS, 2001-2007 Wage growth model Increase in both the average wages of the lowest, two wage brackets and the household earnings of, in particular, the lowest houshold earned income bracket

Jeong, J-H 2011

Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사], 2007-2009; KLIPS, 1998-2008

Comparison between minimum wage rates and hourly wages calculated by ordinary monthly wages and hours worked;

OLS model, Fixed-effects model

Spikes in the minimum wage and spillovers into the upper wage brackets with reduction in the ratio of the 10th and 90th percentiles of the wage distribution

Kim, Y-M & Kim, M-S 2013

Supplementary data (August) of the Economically Active Population Survey, 2004, 2010

Counterfactual wage distribution model

An ambiguous effect on female wage inequality Female employees only

Seong, J-M 2014

Local Area Labor Force Survey [지역별 고용조사], 2008-2012

OLS models, Fixed-effects models

Reduction in wage ineaulqity for lower and middle wage brackets with the size of reduction effects declined from lower to middle wage brackets

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Family income & Poverty Jeong, J-H 2005

KLIPS, 2003 Ratios of beneficiary working households per household income bracket

More beneficieries among the higher household income brackets than among the bottom

Lee, S-K 2013

KLIPS, 2005-2010 Multi-level, multi-nominal logit model

More likely to lift the working poor out of poverty and not adversely related to their job retention

Seo, J-W & Jeong, J-O 2014

KLIPS, 2003-2008 Binary probit model with random-effects

Higer increase in minimum wage, less odds of falling down below the poverty line

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employment effects for twenty years from January 1990 to April 2010 using a time-

series analysis with monthly data of the Economically Active Population Survey [경제

활동인구조사], reported that there have not been disemployment effects since the

minimum wage was introduced in South Korea, and rather that positive effects were

found after 2000. Most recently, Hwang, S-J (2015), who examined the change in

employment among low-wage workers by sex, age, education, organisation size, and

industrial sector, using the Wage Structure Survey [임금구조기본통계조사] for two

periods, 2009-2012 and 2002-2008, found that when the minimum wage increased, no

decline in employment was statistically significant.

However, Jeong, J-H and Lee, B-H (2008), Nam, S-I (2008), Kim, W-Y (2010), Kim,

D-I (2012), Kim, M-S, Kim, Y-M, and Park, T-S (2013), and Kim, Y-M (2014) all

reported adverse employment effects. Using panel data which were rebuilt with the

Economically Active Population Survey [경제활동인구조사] and the Wage Structure

Survey [임금구조기본통계조사] for the period of 2000-2006, Jeong, J-H and Lee, B-H

(2008) found that the minimum wage had negative effects on employment among

younger workers aged 20-24 and older workers aged 55 and older whereas it had

positive employment effects among those aged 25-54. They also examined the

minimum wage impact on job retention and new hires through a quasi-experimental

model using panel data which were rebuilt with the supplementary data of the

Economically Active Population Survey [경제활동인구조사 부가조사] and the

Economically Active Population Survey [경제활동인구조사] for the period of 2004-

2005, and reported that there was no statistically significant positive or negative effects

in any age group as well as among wage workers as a whole. Nam, S-I (2008) analysed

the employment effects of the introduction in 2007 of the minimum wage rate for those

engaged in surveillance or intermittent work. He used data about caretakers who worked

in 132 apartment complexes around the capital area and found that the newly enforced

rate for surveillance or intermittent work increased their wage by over 10 per cent but

decreased employment by 3.5 per cent. Kim, W-Y (2010) explored the effects of the

minimum wage on employment among younger employees aged 15-24 and those aged

15-29. He conducted a time-series analysis of the data which were rebuilt by the

researcher for 15 regions from 2000 to 2008 using the Occupational Employment

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Statistic (OES) [산업·직업별 고용구조조사] and reported that a 10 per cent increase in

the minimum wage reduced employment by 1.6 per cent among female younger

workers aged 15-24 and by 1.1 per cent among male employees aged 15-29 while

disemployment effects were not found among younger workers as a whole. Using the

Survey on Labour Conditions by Type of Employment [고용형태별 근로실태조사] for

the period of 2008-2010, Kim, D-I (2012) explored whether an increase in the minimum

wage decreased the hiring of new employees among the low paid and found that an 1

per cent increase in the minimum wage was likely to restrain new hires among the

bottom 5 per cent wage bracket in the wage distribution by 6.6 percentage point at a 10

per cent significance level. He added that an 1 per cent increase in the minimum wage

reduced new hires of male younger workers aged below 29 years old at the bottom 5-15

per cent wage bracket by 3.8 per cent at a 5 per cent significance level, of male

counterparts aged 30-54 years old by 2.7 per cent at the same significance level, of

female older workers aged below 29 years old at the bottom 5 per cent wage bracket by

2.0 per cent at a 10 per cent significance level, of female counterparts aged 55 and older

by 34.7 per cent at the same significance level, of female employees aged below 29

years old at the bottom 5-15 per cent wage bracket by 2.9 per cent at 5 per cent

significance level, of small companies with below 5 employees by 9.3 per cent at a 10

per cent significance level, of mining and manufacturing sector by 13.8 per cent at a 5

per cent significance level, and of wholesale and retail and restaurant and hotels sector

by 11.7 per cent at a 1 per cent significance level. Kim, M-S, Kim, Y-M, and Park, T-S

(2013) examined employment effects of the real minimum wage by the size of region,

age, and education, using the KLIPS for the period of 2000-2008 and a probit model.

Their findings show that a 10 per cent increase in the real minimum wage reduced the

probability of employment among those aged 24 or less with a high school diploma by

3.7 per cent at a 1 per cent significance level. Kim, Y-M (2014) explored the effects of

the minimum wage on wage distribution and employment in manufacturing and service

sectors, using the supplementary data (August) of the Economically Active Population

for the period of 2001-2014 and a probit model. The findings show that an increase in

the minimum wage raised the wage level in both sectors with higher rise in service

industry than in manufacturing but reduced the odds of becoming an employee on

contract for one or more years with higher decline in manufacturing than in the service

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sector.

Another research stream has focused on whether minimum wage policy has wage or

earnings distribution effects or poverty-alleviating effects as its own purpose. Kim, J-

G’s (1999) simulation analysis is an early study about the distribution effect of the

minimum wage. It used the Wage Structure Survey [임금구조기본통계조사] for the

period of 1988-1995 and found that the minimum wage increased the share of the

bottom 20 per cent wage bracket in the distribution of the total earnings by less than

0.03 percentage point, and the change in the share after 1993 was near to zero. He

concluded that the minimum wage made no significant distributional improvement in

wages, and the near-zero effect after 1993 was due to the rate of increase in the

minimum wage which fell into 8.6 per cent in 1993 from 18.2 per cent on average for

the previous four years and was kept on under the wage growth rate. However,

subsequent studies show different findings as regards the distributional effects. Using

the KLIPS for the period of 2001-2007, Kang, B-G and Sung, H-Y (2009) compared the

distribution effects of the Earned Income Tax Credit (EITC) and the national minimum

wage. In terms of the minimum wage effect, they found that the minimum wage

significantly increased both the average wages of the lowest, two wage brackets and the

household earnings of the lowest household earned income bracket. They concluded

that the importance of the statutory minimum wage in Korea as the means of income

support for the working poor was not weakened, particularly as long as the eligibility

and the subsidy rate of the EITC were highly limited. Jeong, J-H (2011) reported similar

findings and verified the existence of spikes in the minimum wage through a

comparison between minimum wage hourly rates and hourly wages calculated using the

information on employees’ ordinary monthly wages and hours worked from the Survey

on Labour Conditions by Type of Employment [고용형태별 근로실태조사] for the

period of 2007-2009 and also of spillovers into the upper wage brackets in the wage

distribution using the KLIPS for the period of 1998-2008. He found that increases in the

minimum wage reduced the proportion of the 10th and 90th percentiles of the wage

distribution and raised mainly the wage of the middle percentile. Seong, J-M (2014),

who used the Local Area Labour Force Survey [지역별 고용조사] for the period of

2008-2012, also found that the minimum wage reduced wage inequality for lower and

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middle brackets of the wage distribution even though the effect declined as the wage

rank was higher from lower to middle.

Jeong, J-H (2005), Lee, S-K (2013), and Seo, J-W and Jeong, J-O (2014) focused on

family income distribution and poverty alleviation effects. Jeong, J-H (2005) explored

whether the minimum wage affects the working household income distribution, using

the KLIPS of 2003. He found that the percentage of beneficiaries from an increase in

the minimum wage among the bottom household income bracket was much lower than

the one of their counterparts among the higher income brackets and concluded that

minimum wage policy was a blunt instrument to improve income distribution among

the working household. However, subsequent studies provided conflicting results. Lee,

S-K (2013) examined whether an increase in the minimum wage alleviates poverty

among the working poor. Using the KLIPS for the period of 2005-2010 and the

multilevel multinomial logit model, he analysed the transition from the working poor to

the working non-poor, the unemployed, or the economically non-active and found that

an increase in the minimum wage was more likely to lift the working poor out of

poverty as well as not adversely related to job retention. Seo, J-W and Jeong, J-O (2014)

also studied the effects of minimum wage policy on reducing poverty rates using the

KLIPS for the period of 2003-2008. They concluded, based on their results from a

binary probit model, that a higher hourly minimum wage can reduce the odds of an

individual’s falling down below the poverty line.

Conclusion

This chapter has reviewed the national minimum wage and older workers in the labour

market in South Korea. The statutory minimum wage which was introduced in 1987 for

only manufacturing companies with ten employees or more has been extended to all

organisations with one employee or more since 2000 after several amendments. It is

adjusted annually by the government’s approval for a rate which the Minimum Wage

Commission, a tripartite consultation body consisting of workers, employers, and public

interest representatives proposes in the light of criteria stated in the Minimum Wage Act

and national economic conditions. The level of the minimum wage is controversial

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because it varies considerably with reference wages, which implies wage inequality.

Meanwhile, older workers are a vulnerable group in the Korean labour market.

Although a growing number of older workers have been economically active, many of

them take part in irregular work, mainly in business facilities management and support

service, public administration and social security, health and social work, and wholesale

and retail and hotels and restaurants, mostly as elementary workers, service and sales

workers, or simple machine operating workers. The wage level of older employees aged

50 years old and over dramatically decreases with age, and the percentage of older

employees paid less than 50 per cent of the median wage significantly exceeds the one

of their counterparts aged 15-64 years old by 3.15 per cent at least and by 17.88 per cent

at most. All these facts refer to the high probability of the increase in the proportion of

older employees who are paid low and further likely to be affected by the minimum

wage. Despite their vulnerability in the labour market, older workers have not been

taken much attention in the research of the minimum wage effects. Some empirical

research includes the effects of the minimum wage on older workers, mostly on their

employment, in Korea but the findings are not consistent with each other.

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Notes

1 Those engaged in surveillance or intermittent work were legally allowed to be paid 30 per cent less than the minimum wage in 2007, 20 per cent less from 2008 to 2011, and 10 per cent less from 2012 to 2014. As the curtailment clause applied to them was removed from the Minimum Wage Act, they have to be paid a normal minimum wage rate from 1st of January 2015. 2 From 1994 to 2006, a new minimum wage rate had been announced by the 5th of August every year and taken effect from the 1st of September in the same year. 3 In particular, the increase in public administration and social security seems to be due to ‘the Work for Hope [희망근로]’, a government-funded employment project which provides low- wage, temporary jobs to people aged 18 years old and over who are in a low-income family and vulnerable in employment. 4 In order to get the information on the portion of minimum wage workers among older employees or the percentage of older employees among the minimum wage workers, raw data of supplementary results (by the Type of Employment) of Economically Active Population Survey should be analysed. However, there is an access limit to raw data, and thus the review of Korean older workers in the labour market is based on data provided by Korean Statistical Information Service (KOSIS) and by previous study which was analysed with raw data.

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Chapter Seven The Effects of the Minimum Wage on Older Workers in South

Korea

Introduction

This chapter presents the results of quantitative analyses which explored the two

research questions, how the minimum wage affects the distributions of wages and family

earnings, employment and exits from in-work poverty among older workers and whether

different rates of increases in the minimum wage have different effects among older

workers. As mentioned in Chapter Five, the two questions were simultaneously

examined by subtopic for employees aged 55 and older, using the KLIPS and statistical

methods and comparing the two five-year periods of Roh, Moo-Hyun government

(2003-2008) with 10.6 per cent of average rate of increase in the minimum wage and

Lee, Myung-Bak government (2008-2013) with 5.2 per cent of average growth rate.

After reviewing the basic characteristics of the cases selected from the KLIPS, the

empirical results are presented in each subtopic section. The statistical methods and

variables used for each statistical analysis are summarised in Appendix 11.

Basic Characteristics of Data

Table 7.1 shows the number and main characteristics of employees aged 55 and older

selected from wave 7 in 2004 to wave 16 in 2013 of the KLIPS. The number of cases

significantly increased since 2009 as a result of the supplementation of households in

twelfth wave. A remarkable feature of the sample is that the ratio of female older

employees has evidently grown while the ratio of male counterparts has declined since

2009. This corresponds with another feature that the proportion of temporary jobs has

risen while the proportion of permanent jobs fallen since 2009. These are largely due to

the combination of the replacement of irregular jobs for permanent ones and women’s

participation in the labour market, particularly among 40s and older having much

financial burdens in households after the global financial crisis in 2008 which

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accelerated a big change in Korean economy and labour market. The mean and median

ages which were slightly higher for the second five-year period than for the first five-

year period reflect the gradual adjustment in the labour market to rapid population

ageing in South Korea. However, in practical terms, it is likely that older workers

flowed into non-regular, temporary jobs by government-driven public work projects

after the financial crisis have led the small increase in the average ages among older

employees aged 55 and older. In terms of the level of education obtained, the percentage

of those with a bachelor’s degree visibly decreased in the second five-year period

compared to the first five-year period while the ratios of those with high school diploma

and less, except no education, were kept relatively stable over the ten years. This could

mean that facing a career transition, older workers with a bachelor’s degree were more

likely to choose at a point in time a transition to self-employment or an exit from the

labour market based on their better financial preparation for later life, rather than to take

low paid jobs in the harsher labour market conditions after the global financial crisis in

2008. In contrast, those with qualifications below a bachelor’s degree seem to have been

more likely to seek being employed, even in low paid jobs, for financial reasons. Such

speculation is based on the assumption that low paid jobs are dominantly open for older

workers in a very transitional period of their careers. The large gaps between the mean

and the median of hourly wages and of household earnings per capita and the high

proportion of those affected by the minimum wage and of working poor, which are

possibly even underestimated with the loss of cases in calculation required to use two

different datasets for one year, support the assumption to some degree and imply the

financial needs prevailing among older employees. The majority of the older employees

were married. However, the proportion of married employees decreased whereas the

share of separate, divorced, or widowed counterparts increased, notably in the second

five-year period. The older employees were chiefly householders, and their proportion

was noticeably high in two metropolitan cities, Seoul and Busan, and Gyeonggi-do, a

large province nearest to Seoul, in which various small and medium-sized firms have

developed. The number of family members among the older employees’ households

also decreased slightly during the second five-year period.

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Table 7.1 Characteristics of 55+ Employees, 2004-2013

2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Case 457 463 486 521 579 774 828 897 1,001 1,070 Sex (%)

Male 67.0 68.7 68.1 64.3 64.9 62.0 62.0 59.5 59.4 59.3 Female 33.0 31.3 31.9 35.7 35.1 38.0 38.0 40.5 40.6 40.7

Age Mean 60.70 60.84 60.77 60.89 61.03 61.89 61.97 62.04 61.96 62.26

Median 60.00 60.00 59.00 59.00 60.00 60.00 60.00 61.00 60.00 61.00 Education (%)

No Education 9.4 9.1 8.0 6.7 6.2 6.3 6.0 5.2 4.3 3.4 Elementary School 33.5 32.4 29.8 31.3 29.0 32.6 31.4 31.4 28.3 27.9

Middle School 17.9 21.0 20.2 20.9 19.9 21.6 23.2 23.4 23.6 23.3 High School 26.5 24.2 28.6 26.9 29.7 28.0 27.3 27.4 30.4 31.1

2-year College 0.4 1.1 1.2 1.3 2.4 1.7 2.2 3.0 3.1 3.1 University 9.4 9.5 9.5 10.4 10.7 7.8 7.9 7.0 7.4 8.3

Graduate School 2.8 2.8 2.7 2.5 2.1 2.1 2.1 2.5 2.9 2.9 Marital Status (%)

Never Married 0.2 0.2 0.0 0.0 0.2 0.9 1.2 0.9 1.2 0.8 Married 80.3 80.1 79.0 78.5 78.4 74.4 74.6 73.9 74.1 75.1

Separate/Divorced/Widowe d

19.5 19.7 21.0 21.5 21.4 24.7 24.2 25.2 24.7 24.0

Householder (%) 78.6 79.0 80.0 79.1 78.8 78.2 77.8 76.3 75.4 74.7 N of Household Members

Mean 3.1 3.1 3.1 2.2 2.9 2.8 2.7 2.6 2.6 2.7 Median 3.0 3.0 3.0 2.0 3.0 3.0 3.0 2.0 2.0 3.0

Type of Employment (%) Permanent 60.8 58.5 58.4 57.6 55.4 49.1 47.8 46.2 48.0 47.3 Temporary 14.7 14.5 16.0 15.7 18.7 24.9 25.6 26.1 27.4 28.4 Daily Hire 24.5 27.0 25.5 26.7 25.9 26.0 26.6 27.8 24.7 24.3

Region (%) Seoul 26.3 26.8 28.0 25.7 27.3 24.7 23.7 22.3 22.7 22.2 Busan 11.2 11.0 9.7 9.6 9.3 9.3 9.2 9.4 10.1 9.1

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2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Region (%) Continued Daegu

5.9 6.5 5.6 5.6 4.7 4.7 6.2 6.2 5.0 6.0

Daejeon 3.7 4.1 3.9 4.4 4.0 3.1 3.4 4.1 3.7 2.9 Incheon 4.8 4.3 5.3 6.0 5.9 4.9 5.9 5.6 5.8 6.4

Gwangju 3.7 5.0 4.7 4.2 2.8 2.1 2.5 2.7 2.3 2.7 Ulsan 1.8 2.2 2.5 1.9 2.6 2.3 2.3 2.2 3.0 2.8

Gyeonggi-do 17.7 17.3 17.9 18.2 18.7 16.9 15.6 17.9 18.5 18.7 Gangwon-do 1.3 0.9 1.2 1.7 1.6 2.5 2.3 2.1 2.3 2.6

Chungcheongbuk-do 3.3 2.6 3.9 3.8 3.6 3.5 4.0 4.8 4.2 3.9 Chungcheonnam-do 2.0 2.4 2.1 3.3 3.5 4.4 5.4 5.5 5.1 5.3

Jeollabuk-do 6.3 5.0 4.3 5.0 3.8 4.3 3.7 3.8 3.8 4.1 Jeollanam-do 2.4 2.8 2.1 2.5 2.6 4.0 3.4 2.6 2.8 3.1

Gyeongsangbuk-do 3.9 3.2 3.3 1.7 2.9 4.5 5.0 4.1 4.3 3.9 Gyeongsangnam-do 5.7 6.0 5.6 6.3 6.9 8.8 7.2 6.5 6.2 5.7

Jeju - - - - - 0.1 0.2 0.2 0.3 0.5 Hourly Wage (\)a

Mean 6,864.64 6,941.23 7,367.03 8,532.00 8,059.75 7,475.22 7,817.29 8,261.84 8,615.62 9,273.03 Median 3,873.67 4,606.53 4,798.46 5,150.35 5,289.91 4,975.64 5,374.28 5,719.77 6,184.69 6,909.79

Yearly Household Earnings per Capita in a Household (\)a

Mean 16,534,977 19,091,334 19,932,451 22,331,819 19,275,246 21,298,915 21,804,941 24,749,189 24,470,673 25,850,291

Median 12,908,588 15,900,000 16,161,017 17,464,846 15,467,214 16,970,563 17,320,508 19,890,914 20,859,650 21,550,000 Proportion Affected by Minimum Wage b

19.7 24.9 25.1 27.8 23.1 20.8 25.9 26.7 25.1 24.7

Proportion of Working Poor c

25.4 24.6 28.8 25.3 27.8 26.9 28.6 27.2 23.9 21.9

Source : KLIPS data Wave6(2003) ~ Wave17(2014) Note: a. ‘\’ refers to Korean currency, won. b. This is the proportion of those who were employed in the concerned year and were paid in the previous year less than the minimum wage rate of the concerned year. c. The propotion is the percentage of those who were employed in the concerned year and whose yearly household income per capita calculated by the information collected one year later

was less than 60 per cent of its median for all employees.

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Minimum Wage Effects on the Wage Distribution

The effects of the minimum wage on the distribution of wages among older employees

were examined with respect to three sub-questions, whether an increase in the minimum

wage creates a spike at the point of the minimum wage, whether the increase has a

spillover effect, raising wages of those who were already paid above a new minimum

wage rate, and whether the increase reduces the wage gap in the wage distribution

among older employees. A spike at the point of the minimum wage was graphically

assessed by plotting the kernel density estimates of log hourly wage minus log

minimum wage for each employee aged 55 and older for each year, where a zero

indicated that the employee earned the minimum wage rate of the year. The hourly wage

for each individual was derived with monthly pay and average weekly working hours

((monthly pay*10,000*12)/(weekly working hours*52.1)). Figure 7.1 shows that spikes

at or around the minimum wage were consistently found over the years in each five-year

period. This suggests that the minimum wage had some effects to raise the wages of

those who previously earned less than the minimum wage of the year unless the rate of

increase in the minimum wage was lower than the rate of increase in bargaining wages,

and if there was no clue as to a sharp rise in newly created jobs paying around the

minimum wage.

Figure 7.1 Wage Distribution of 55+ Employees, 2004-2008 and 2009-2013

Source: KLIPS data wave7(2004) ~ wave16(2013)

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Despite the spike at the minimum wage, no distribution was either truncated or thinned

out in the left tail in both five-year periods so that a large proportion of older workers

remained being paid less than the minimum wage in all the years. This might be

attributed mostly to noncompliance of small businesses hiring mature workers even

though it cannot be verified with evidence since there are no official data to identify the

size of noncompliance in South Korea. Another noteworthy factor with regard to the

large portion of older employees below zero in the wage distribution would be the

application of reduced minimum wage rates to those employed for surveillance or

intermittent work from 2007 to 2014. Considering the fact that surveillance or

intermittent work belongs to elementary jobs in which over 25% of older workers aged

55-79 are engaged as seen in Chapter Six, a significant number of mature workers paid

a bit less than the minimum wage are expected to have relied on the curtailed minimum

wage rates legally approved. A further consideration could be the unconventional

avoidance of paying a minimum wage, particularly among transportation companies.

Many employees engaged in transportation, such as taxi drivers, have to pay a great deal

of their daily earnings to their companies and then they can keep the rest. Although

employers offer a small basic pay, the employees’ salary relies mostly on the deducted

daily earnings which employers have neither rights nor duties for regardless of how

much they are. Since the amount that employees have to turn over to the companies is

relatively high, there would be a significant number of drivers who earn less than the

minimum wage. Based on the fact that older workers are largely engaged in simple

operative jobs in the transportation sector, such as driving, as seen in Chapter Six, the

unconventional avoidance of paying the minimum wage among transportation

companies could partly explains the lower part below zero in the wage distribution.

Spillovers and the reduction of the wage gap were examined, using OLS and fixed-

effects models in which the fraction affected and the fraction newly affected by region

were employed for an increase in the minimum wage, and the change in employment

rate of employees aged 55 and older by region were controlled, as mentioned in Chapter

Five. For the test of spillovers, the dependent variable, the changes in the10th, 25th, 50th,

75th, and 90th percentiles of log hourly wages among employees aged 55 and older by

region was computed by subtracting the various percentiles of log hourly wages before

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an increase in the minimum wage from the percentiles after the increase for each region.

In the models, it was hypothesized that the percentiles of log hourly wages among

employees aged 55 and older would increase up to a certain percentile as the fractions

of the older employees affected by an increase in the minimum wage increased. This

hypothesis was based on the mainstream economic theories’ predictions about the spike

and spillover effects of the minimum wage. The models assumed that regional

difference in the fractions of older employees affected by an increase in the minimum

wage reflected the regional wage differentials, and this could redeem the limitation of

no comparison group which was not affected by an increase in the minimum wage. It

was also assumed that an increase in the minimum wage in a year would only affect the

wage distribution of the corresponding year.

The results for the changes in the various percentiles of log hourly wages are presented

in Panel A of Table 7.2. The distributional effects were clearly different between the two

periods. For the first five-year period with one of the highest minimum wage growth

rates, positive and significant correlations between the changes in the 25th, 50th, and 75th

percentiles of log hourly wages and the fraction of employees who were previously paid

less than a new minimum wage rate were found. The positive and significant correlation

was also shown in the change in the 10th percentile of log hourly wages, but at the same

time, the other indicator of an increase in the minimum wage, the fraction newly

affected was negatively correlated with the change at a significance level of 0.1. These

indicate that the increases in the minimum wage for the first five-year period were

responsible for the increases in the 25th, 50th, and 75th percentiles of log hourly wages

among employees aged 55 and older. Meanwhile, for the second five-year period with

the lowest minimum wage growth rates, only the change in the 50th percentile of log

hourly wage was positively correlated at a significance level of 0.1 with the fraction of

all older employees who were previously paid less than a new minimum wage rate. As

in the first five-year period, positive and negative correlations were simultaneously

found between the change in the 10th percentile of log hourly wages and the fraction

affected and between the change and the fraction newly affected, respectively. Given

these results, and the magnitude and statistical significance of the coefficient for the 50th

percentile of log hourly wages, it is suggested that the increases in the minimum wage

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for the second five-year period had a marginal effect on the distribution of wages at the

50th percentile. The changes in employment rates for employees aged 55 and older

included as a control variable for differing labour-market trends across regions had little

influence on the estimated models for each of the two five-year periods.

An interesting point from the results is that the fraction newly affected was negatively

correlated with some of the various percentiles of log hourly wages whereas the fraction

affected was positively correlated with most of the percentiles. The negative correlation

of the fraction newly affected was found in more percentiles of log hourly wages for the

second five-year period, although the coefficient for the 10th percentile of log hourly

wages was statistically significant for both five-year periods. These contrasting effects

of the two indicators would suggest that employers who hire older workers are

pressured to increase wages by the difference between the lowest wage that they paid

and a new minimum wage rate, rather than the difference between an old and a new

minimum wage rates, but they marginally increase wages of their older employees when

both differences are relatively not large due to a small increase in the minimum wage.

The opposing effects of the two indicators can be assumed as a unique feature of the

impact of the minimum wage on the wage distribution among older employees in as

much as the same explanatory variables did not have opposite effects on the various

percentiles of wages for all employees during the period of 1998-2008 in Jeong J-H’s

(2011) analysis. This feature seems to come, ironically from the fact that older

employees’ wage level in Korea is generally low, and the proportion of older employees

who earn less than 50 per cent of the median wage is not comparable to the proportion

of their counterparts among all employees. Older employees are more likely to be

exposed to employers’ tactical adjustment to their own wage floor along with the

changes in the minimum wage.

Some differences in significance and direction between the OLS models and the fixed-

effects models were found, and the relationship was somewhat attenuated in the OLS

models than in the fixed-effects models for both five-year periods. In terms of goodness

of fit, the results of F-tests in which the joint significance of the fixed-effects intercepts

were tested showed that the OLS models provided better fit than the fixed-effects

models for all the various percentiles of log hourly wages in both five-year periods. As

185

the null hypothesis, that the variance of unobserved fixed-effects was zero, was not

rejected, the regional-specific effect which was unobserved in all periods but constant

over time was not correlated with the covariates. This indicates that there was no clue to

an endogeneity bias caused by the correlation, for example between the unobserved

changes in employment in a specific wage group and the fraction of those affected by

the increase in the minimum wage.

Panel B of Table 7.2 reports estimates of regression models to test spillover effects. In

the models, the dependent variable was the changes in ratios between the 90th and 10th,

the 90th and 25th, the 90th and 50th, and the 50th and 10th percentiles of log hourly wages

among employees aged 55 and older by region. The variable was computed by

subtracting each of the ratios between the various percentiles of log hourly wages before

an increase in the minimum wage from each corresponding ratio after the increase for

each region. It was hypothesized that the ratios between the various percentiles of log

hourly wages would decrease as the proportion of older employees affected by an

increase in the minimum wage increased. This was based on a logical consequence of

the mainstream economic theories that, if a minimum wage was adequately enforced

and complied with and had a spillover effect as expected up to a certain percentile of

wages slightly higher than the one to which minimum wage workers belonged, the wage

distribution would be narrowed by the lifted wages in the middle wage brackets and

below. The models also reflected the regional wage differentials by using regional

fractions of older employees affected by an increase in the minimum wage to redeem

the limitation of no comparison group which was not affected by an increase in the

minimum wage and assumed no long-lasting effect of the increase in the minimum

wage.

The results for the relative changes in the percentiles of log hourly wages were different

between the two five-year periods. For the first five-year period with one of the highest

rate of increase in the minimum wage, the estimated models indicated that the fraction

affected significantly reduced the 90th/10th and 90th/25th percentile ratios by a small

margin whereas the 50th/10th percentile ratio had an ambiguous change by the

contrasting effects of the fraction affected and the fraction newly affected.

186

Table 7.2 Estimated Models for Changes in the Percentiles of Log Hourly Wages among 55+ Employees, 2004-2008 and 2009-2013

Panel A: Models for Changes in the 10th, 25th, 50th, 75th, 90th Percentiles

2004 - 2008 2009 - 2013 OLS Models

P10 P25 P50 P75 P90 P10 P25 P50 P75 P90

Fraction Affected 0.99

(0.23)***

0.63

(0.18)***

0.44

(0.19)**

0.58

(0.33)* 0.13 (0.29)

0.29

(0.17)*

0.19

(0.13)

0.27

(0.15)*

0.22

(0.18)

-0.11

(0.23)

Fraction Newly Affected -0.84

(0.41)**

-0.35

(0.31)

0.14

(0.33)

0.26

(0.58)

0.03

(0.51)

-1.24

(0.63)* -0.67 (0.48)

-0.45

(0.58)

0.22

(0.69)

-0.04

(0.87)

Change in Employment Rate -1.34

(1.03)

0.12

(0.80)

-0.81

(0.85)

-0.92

(1.48)

-0.17

(1.29) 0.33 (0.81) 0.11 (0.62)

-0.19

(0.75)

-0.04

(0.89)

-0.78

(1.12)

R-Squared 0.23 0.15 0.09 0.06 0.003 0.08 0.05 0.05 0.02 0.01

Fixed-effects Models

P10 P25 P50 P75 P90 P10 P25 P50 P75 P90

Fraction Affected 1.75

(0.35)***

1.10

(0.28)***

0.80

(0.30)***

1.23

(0.51)**

-0.31

(0.45)

0.56

(0.21)**

0.31

(0.17)*

0.41

(0.20)*

0.28

(0.24) -0.07 (0.31)

Fraction Newly Affected -1.25

(0.48)**

-0.54

(0.38)

0.08

(0.41)

-0.33

(0.70)

0.23

(0.61)

-1.43

(0.72)* -0.79 (0.56)

-0.63

(0.69)

0.23

(0.81)

-0.02

(1.04)

Change in Employment Rate -2.27

(1.13)**

-0.35

(0.89)

-1.23

(0.97)

-1.70

(1.65)

0.24

(1.45) 0.48 (0.90)

0.21

(0.70)

-0.03

(0.86)

0.30

(1.01)

-0.52

(1.30)

R-Squared 0.32 0.22 0.14 0.10 0.01 0.15 0.08 0.07 0.03 0.003

Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

187

Panel B: Models for the Relative Changes in the Percentiles of Log Hourly Wages

2004 - 2008 2009 - 2013 OLS Models

P90/P10 P90/P25 P90/P50 P50/P10 P90/P10 P90/P25 P90/P50 P50/P10

Fraction Affected -0.15

(0.06)*** -0.08 (0.05)* -0.05 (0.04) -0.09 (0.04)** -0.06 (0.03)* -0.04 (0.03) -0.05 (0.03)* -0.005 (0.02)

Fraction Newly Affected 0.14 (0.10) 0.06 (0.08) -0.02 (0.07) 0.14 (0.07)* 0.19 (0.13) 0.09 (0.12) 0.06 (0.10) 0.11 (0.09)

Change in Employment Rate 0.22 (0.25) -0.04 (0.21) 0.08 (0.18) 0.11 (0.18) -0.14 (0.17) -0.10 (0.16) -0.07 (0.14) -0.07 (0.11)

R-Squared 0.10 0.04 0.03 0.09 0.07 0.03 0.04 0.03

Fixed-effects Models

P90/P10 P90/P25 P90/P50 P50/P10 P90/P10 P90/P25 P90/P50 P50/P10

Fraction Affected -0.34

(0.08)***

-0.21

(0.07)*** -0.15 (0.06)** -0.15 (0.07)** -0.10 (0.04)** -0.05 (0.04) -0.06 (0.04)* -0.02 (0.03)

Fraction Newly Affected 0.24 (0.12)** 0.12 (0.10) 0.02 (0.08) 0.20 (0.09)** 0.22 (0.15) 0.11 (0.14) 0.08 (0.13) 0.12 (0.10)

Change in Employment Rate 0.44 (0.28) 0.08 (0.23) 0.19 (0.20) 0.19 (0.21) -0.13 (0.19) -0.08 (0.18) -0.06 (0.16) -0.07 (0.13)

R-Squared 0.23 0.13 0.11 0.12 0.10 0.03 0.05 0.03

Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0

188

These results suggest that an increase in the minimum wage was responsible for a

significant wage compression between the upper wage bracket and the lower-middle

wage bracket or the lowest wage bracket, but the reduction of the wage gap between the

middle wage bracket and the lowest wage bracket was likely to be restrained in regions

with a high fraction of older workers who were previously paid between an old and a

new minimum wage rates. Given the results for the changes in the various percentiles of

wages, this implies that the increase in the minimum wage pushed up wages mainly in

the middle wage brackets during the first five-year period, but the wage in the lowest

wage bracket also increased as much as the wage in the middle wage bracket did,

despite its fall in regions with a high fraction of older employees who were previously

paid between an old and a new minimum wage rate. For the second five-year period

with the lowest rate of increase in the minimum wage, the estimated models indicated

that the 90th/10th and 90th/50th percentile ratios significantly but marginally decreased by

the fraction affected. This suggests that a smaller increase in the minimum wage during

the second-five year brought about a slight relief of the wage gap between the upper

wage bracket and the lowest or the middle wage bracket. The changes in employment

for employees aged 55 and older included as a control variable had little influence on all

the estimated models, and the OLS models had better fit than the fixed-effects models

for both five-year periods based on F-test of the joint significance of the fixed-effects

intercepts.

One thing to add is that, as expected from the results for the changes in the percentiles

of log hourly wages, the fraction affected mostly had negative correlations with the

various percentile ratios while the fraction newly affected mostly had positive but

insignificant correlations with the ratios for both five-year periods. This implies that the

fraction affected would be a better indicator than the fraction newly affected to test the

distributional effects of an increase in the minimum wage for older workers.

Furthermore, it supports the supposition that employers who hire older workers are

pressured to increase wages by the difference between the lowest wage that they paid

and a new minimum wage rate, rather than the difference between an old and a new

minimum wage rates.

189

In sum, the increase in the minimum wage created spikes at or around the minimum

wage in the distribution of wages among older employees for both of the period with

one of the highest rates of increase in the minimum wage and the period with the lowest

rate of increase. However, it neither truncated nor thinned out the lower tail of the

distribution of wages in all of the years, showing a considerable proportion of older

employees left being paid less than the minimum wage. In terms of the spillover effects,

the contrasting effects of the fraction affected and the fraction newly affected did not

provide convincing evidence for both five-year periods that the increase in the minimum

wage had positive and significant effects at the 10th percentile of log hourly wages

among older employees. The regression estimates indicated positive and significant

effects of the fraction affected variable at the 25th, 50th, and 75th percentiles for the first

five-year period and at the 50th percentile for the second five-year period. These results,

however, do not directly give an answer to the spillover question for the second five-

year period, because the 50th percentile can be minimum wage older workers in low-

wage regions. In this case, the estimate would include both the effects of the minimum

wage on the spike in the wage distribution at the minimum and spillover effects above

it, as Neumark and Wascher (2008, p.117) pointed out. As regards minimum wage

effects on the reduction in the wage gap among older employees, the regression

estimates indicated marginal and significant reductions at the 90th/10th and 90th/25th

percentile ratios by the fraction affected and an ambiguous change in the 50th/10th

percentile ratios by the contrasting effects of the fraction affected and the fraction newly

affected for the first five-year period. By comparison, marginal but significant effects of

the faction affected variable at the 90th/10th and 90th/50th percentile ratios were found for

the second five-year period.

The Effect of the Minimum Wage on Employment

The effect of the minimum wage on employment among older employees was explored

at two different levels. Effects at the regional level were first screened for each of the

two five-year periods, using OLS and fixed-effects models. In the models, the

dependent variables were the change in employment rate of older employees by region

and the change in unemployment rate of older individuals by region (see the methods

190

part of Chapter Five for how each was defined). Both variables were computed by

subtracting the (un)employment rate before an increase in the minimum wage from the

corresponding after the increase for each region. The fraction affected and the fraction

newly affected, the same indicators of an increase in the minimum wage used in the

analysis of the effects on the wage distribution were employed as the independent

variables, and no control variable was included due to the limits of data. Following the

typical prediction of the mainstream economic theory, it was hypothesized that a higher

increase in the minimum wage may have a stronger negative correlation with the change

in the employment rate of older employees and also a stronger positive correlation with

the change in their unemployment rate. This hypothesis was based on the assumptions

that monopsony was not the labour market condition for older workers, new hires would

rarely occur among them, and the dismissal by an increase in the minimum wage would

lead to the increase in the unemployment rate of the age group. As in the OLS and

fixed-effects models for the effects on the wage distribution, these models also reflected

the regional wage differentials by using regional fractions of older employees affected

by an increase in the minimum wage to redeem the limitation of no comparison group

which was not affected by an increase in the minimum wage, and assumed no long-

lasting effect of the increase in the minimum wage that last over one year.

Table 7.3 reports the estimates of the models for each five-year period. The results show

that neither the fraction affected nor the fraction newly affected were significantly

correlated with regional employment or unemployment rates for the first five-year

period with one of the highest rates of increase in the minimum wage. By contrast, both

indicators of an increase in the minimum wage had negative and significant correlations

with regional unemployment rates by a small margin for the second five-year period

with the lowest rate of increase in the minimum wage. Note that the OLS models had a

better fit than the fixed-effects models for both five-year periods based on F-test of the

joint significance of the fixed-effects intercepts. The estimated models suggest that the

increase in the minimum wage would not lower regional employment levels for older

employees, regardless of the rate of increase in the minimum wage, but a marginal

increase in the minimum wage might drive older workers to move to other types of

employment, such as self-employment, or to a higher-wage region. However, this

191

analysis does not provide direct evidence of a zero disemployment effect for the

increase in the minimum wage. Although many factors, including sectoral composition

of firms hiring older workers for each region, may be involved in regional employment

and unemployment levels for older workers, none were controlled in the models.

Table 7.3 Estimated Models for Changes in Employment & Unemployment among 55+ Employees, 2004-2008 and 2009-2013

2004 – 2008 2009 - 2013

OLS Models Employment Unemployment Employment Unemployment

Fraction Affected 0.01 (0.03) 0.03 (0.03) -0.01 (0.02) -0.11 (0.03)***

Fraction Newly Affected 0.01(0.05) -0.06 (0.05) 0.05 (0.09) -0.17 (0.10)*

R-Squared 0.003 0.02 0.01 0.21

Fixed-effects Models Employment Unemployment Employment Unemployment

Fraction Affected 0.07 (0.04)* -0.06 (0.04) -0.01 (0.03) -0.15 (0.03)***

Fraction Newly Affected -0.03 (0.06) 0.005 (0.06) 0.06 (0.10) -0.16 (0.11)

R-Squared 0.05 0.04 0.01 0.27

Source: KLIPS data wave6(2003) ~ wave16(2013) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

The causal relationship between the increase in the minimum wage and disemployment

among older employees was explored at the individual level for each of the five-year

periods, using the multilevel discrete-time event history model for competing risks. In

the model, the dependent variables were individuals’ transition from being employed to

being unemployed or to being in other types of employment, such as self-employment or

non-wage family business work. In company with the control of individuals’ sex, age,

and level of education obtained, the product of minimum wage application or not and

log hourly real minimum wage were used for representing the increase in the minimum

wage, and duration spent being employed plus square of duration were also included as

192

explanatory variables for testing the effect of duration and its reversal at some point.

This event history analysis was conducted for each of the two five-year periods, using

both fixed-effects models which did not assume unobserved heterogeneity among older

employees and random-effect models which allowed for it. In the models, it was

hypothesized that if an older employee was affected by an increase in the minimum

wage, the employee may be more likely to become unemployed or to get into other

types of employment, such as self-employment, as the real minimum wage increased.

As in the analysis at the regional level, this hypothesis was also based on the typical

prediction of the mainstream economic theory, did not suppose monopsony labour

market for older workers, assumed that an increase in the minimum wage would

influence on individuals’ transition only in the corresponding year, and focused on their

transition from being employed in the light of relatively rare new hires in the older age

group.

Cases selected from the original KLIPS individual datasets for the analysis were those

aged 55 and over and being employed at some time in each five-year period.

Observations found in discrete-time format of individuals being unemployed, self-

employed or in non-wage family business work before being employed and of

individuals staying in one of those states or shifting between those states after a

transition from being employed were excluded. The analysis was based on the original

sample of 782 older employees with 806 episodes for the first five-year period and of

1,337 older employees with 1,396 episodes for the second five-year period.

Employment spells provided a total of 2,338 and 4,016 person-year observations for

each five-year period, respectively. As noted earlier, the big gap in the total number of

cases and observations between the two five-year periods is attributed to the

supplementation of respondents from the twelfth wave of the KLIPS in 2009. Table 7.4

shows the descriptive statistics by covariates in both individual level and observation

level. Men had much higher share than women for both five-year periods; however, the

proportion of women grew by over 4.5 per cent in the second five-year period whilst the

portion of men fell by the same rate in the same period. The average age was 60.37

years old for the first five-year period, which increased by roughly one year old for the

second five-year period; and the majority of respondents were middle or high school

193

graduates. The average duration spent in being employed by an individual’s episode for

each five-year period was 2.94 years and 2.93 years, respectively.

Table 7.4 Descriptive Statistics of 55+ Employees by Covariates, 2004-2008 & 2009-2013

2004 - 2008

2009 - 2013

Individual /

Episode

Observation

Individual /

Episode

Observation

Number of Total

782 / 806 2,338

1,337 / 1,396 4,016

N (%) N (%)

N (%) N (%)

Sex

Male

515 (65.9) 1,565 (66.9)

820 (61.3) 2,494 (62.1)

Female

267 (34.1) 773 (33.1)

517 (38.7) 1,522 (37.9)

Mean (SD) Mean (SD)

Mean (SD) Mean (SD)

Age

60.37 (5.259) 60.88 (5.266)

61.50 (6.161) 61.97 (6.087)

Education

1.42 (0.494) 1.41 (0.492)

1.45 (0.497) 1.43 (0.495)

Duration Spent in being Employed

2.94 (1.430) 2.30 (1.263)

2.93 (2.007) 2.29 (1.253)

MW Application or not * Log Real

MW

2.30 (3.155) 2.37 (3.646)

2.51 (3.287) 2.59 (3.793)

Source: KLIPS data wave6(2003) ~ wave16(2013)

The estimated coefficients and standard errors from the full fixed-effects model for

competing risks are given in Table 7.5. The hazard of being unemployed significantly

increased with the duration spent in being employed for the first five-year period, and

the one of being self-employed did as well with higher probability. For the second five-

year period, the duration effect on the transition to being unemployed was significant

and gave older employees even a higher risk than for the first five-year period.

However, the transition to self-employment was not significantly affected by the

duration spent in being employed. The positive duration effect on the transition to

unemployment would result from the combined reasons that some older employees

retired from their lifetime jobs and others left from their temporary jobs under the

prevalent employees’ policy to preferentially dismiss those with long service for new

hire of the younger workers. The difference in the duration effect between the two five-

year periods can be interpreted that the economic condition for the first five-year period

still allowed the practice of retirees’ starting a small business but the condition for the

second five-year period did not influenced by the global financial crisis. Meanwhile,

194

there was no significant evidence of the increased risk of being unemployed for older

employees aged 55 and over in both five-year periods. Although a positive estimate was

shown for the first five-year period with one of the highest rates of increase in the

minimum wage increase, and a negative estimate was given for the second five-year

with the lowest rates, all the estimates of the minimum wage effect were neither

statistically significant nor large. For the transition to being self-employed, the variable

representing the increase in the minimum wage had a negative but statistically

insignificant effect for both five-year periods. These results imply that the increase in

the minimum wage was not responsible for older employees’ becoming unemployed or

in other types of employment, including self-employment and non-wage family

business work, regardless of the rate of increase in the minimum wage. This is

consistent with the findings of the analysis at the regional level that there would be no

disemployment effect of the increase in the minimum wage. In tems of other covariates,

there was little significant effect of sex and education, except that female older

employees were more likely to become self-employed than male counterparts for the

first five-year period. But older employees’ age significantly increased the risk of being

unemployed for both five-year periods and the risk of being self-employed for the

second five-year period.

Although the numerical values slightly changed, the estimates in Table 7.6 from the

random-effects model allowing for unobserved heterogeneity between older employees

show the same pattern of results with the one from the fixed-effects model. Further, the

estimated covariance between the random-effects was negative, which could be

interpreted that older employees who had a transition to unemployment in a shorter time

tended to have a longer time for being self-employed, and on the contrary, those who

had a transition to being unemployed in a longer time were more likely to be self-

employed in a shorter time. But, the estimate of individual-level variance was small

relative to its standard error, suggesting that there was little evidence of correlation

between the unobserved individual-level characteristics influencing the hazard of a

transition either to unemployment or to self-employment.

195

Table 7.5 Estimated Fixed-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013

2004 - 2008 2009 - 2013 Employed -> Unemployed Employed -> Self-employed Employed -> Unemployed Employed -> Self-employed

Constant -5.431 (0.879)*** -6.380 (2.006)*** -5.656 (0.628)*** -7.728 (1.470)***

Duration Employed 0.354 (0.151)** 0.703 (0.336)** 0.531 (0.126)*** -0.060 (0.249)

Duration*Duration 0.015 (0.018) -0.046 (0.038) -0.005 (0.015) 0.028 (0.035)

MW Application or not* Log Real MW 0.006 (0.021) -0.050 (0.047) -0.014 (0.017) -0.008 (0.041)

Sex (ref. is male)

Female

0.021 (0.170) 1.240 (0.356)*** 0.107 (0.131) -0.294 (0.329)

Age 0.048 (0.014)*** 0.034 (0.032) 0.051 (0.010)*** 0.055 (0.023)**

Education (ref. is middle & lower)

High School & higher

-0.081(0.165) 0.527 (0.365) -0.088 (0.128) -0.235 (0.312)

Case / Observation 782 / 2,338 1,337 / 4,016

Source: KLIPS data wave6(2003) ~ wave16(2013) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

196

Table 7.6 Estimated Random-effects Models of Transitions from being Employed among 55+ Employees, 2004-2008 and 2009-2013

2004 - 2008 2009 - 2013 Employed -> Unemployed Employed -> Self-employed Employed -> Unemployed Employed -> Self-employed

Constant -5.804 (0.896)*** -6.716 (2.093)*** -5.873 (0.692)*** -8.587 (1.840)***

Duration Employed 0.416 (0.164)** 0.821 (0.368)** 0.574 (0.133)*** -0.011 (0.280)

Duration*Duration 0.023 (0.019) -0.048 (0.041) -0.003 (0.016) 0.031 (0.039)

MW Application or not* Log Real

MW 0.008 (0.022) -0.049 (0.050) -0.015 (0.018) -0.003 (0.047)

Sex (ref. is male)

Female 0.033 (0.192) 1.309 (0.396)*** 0.118 (0.138) -0.355 (0.376)

Age 0.051 (0.014)*** 0.030 (0.032) 0.053 (0.011)*** 0.056 (0.028)**

Education (ref. is middle & lower)

High School & higher -0.118 (0.187) 0.488 (0.399) -0.095 (0.135) -0.259 (0.350)

σ²ᵥ0 0.543 (0.311) 0.268 (0.277) σᵥ01, σ²ᵥ1 -0.109 (0.341) 1.073 (1.223) -0.110 (0.561) 1.779 (1.890)

Deviance (MCMC) 1,662.637 2,607.445 Case / Observation 782 / 2,338 1,337 / 4,016

Source: KLIPS data wave6(2003) ~ wave16(2013) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

197

Overall, there was no evidence from the above analyses that the increase in the

minimum wage had a disemployment effect among older workers, either at the regional

level or at the individual level. The results of the analysis at the regional level implied

the possibility of a marginal reduction in their unemployment rate by a marginal

increase in the minimum wage, and the results at the individual level provide evidence

of no instant dismissal among older employees due to the increase in the minimum

wage, regardless of its rate of increase. However, it may not be affirmed that the

increase in the minimum wage would have no employment effect among older workers

for the years studied since the findings do not inform us whether the increase in the

minimum wage prevented new hires among older workers. For a full account of the

employment effect for older workers, the minimum wage effect on older workers’

transition from being unemployed or being in other types of employment to being

employed should also be explored.

The Minimum Wage Effects on the Distribution of Family Earnings

and Exit from Working Poor

Mininmum wage effects on the distribution of family earnings and on exit from being

working poor are addressed in this section. Before exploring the effects, the distribution

of family earnings of employees aged 55 and older was reviewed for each of the two

five-year periods by plotting the kernel density estimates of log annual family earnings

per capita for each older employee’s household minus log 60 per cent of the median

annual family earnings per capita for all employees’ households. As shown in Figure

7.2, the plot shows that a large portion of older employees were working poor, having

annual family earnings less than 60 per cent of the median in both five-year periods.

However, the two five-year periods indicated clearly different features. While the

distribution roughly moved a little towards the right year by year for the first five-year

with one of the highest rates of increase in the minimum wage, the second five-year had

more bulges in the lower parts of the distribution with lower peak points. This implies

that older employees were likely to experience a rise in family earnings for the first

five-year period but no rise or even a fall during the second five-year period. The kernel

density estimates for the second five-year period could be a partial reflection of the

198

economic downturn arising from the 2008 global financial crisis.

Figure 7.2 Distribution of Monthly Family Earnings among 55+ Employees, 2004-2008 and 2009-2013

Source: KLIPS data wave8(2004) ~ wave17(2014)

Using OLS and fixed-effects models, minimum wage effects on the distribution of

family earnings of employees aged 55 and older were examined for each of the two

five-year periods. The dependent variables were the changes in the 10th, 50th, and 90th

percentiles of log annual family earnings per capita among employees aged 55 and

older by region and the changes in ratios beetween the 90th and 10th and the 50th and

10th percentiles by region. Each variable was computed by subtracting each of the

concerned percentiles of log annual family earnings per capita and the ratios between

the percentiles before an increase in the minimum wage from each corresponding

percentile and ratio after the increase for each region, respectively. The fraction affected

and the fraction newly affected, the same indicators of an increase in the minimum wage

used in the analysis of the effects on the wage distribution were employed as

independent variables, and the change in employment rate of employees aged 55 and

older by region was also cotrolled in the models. It was hypothsized that log annual

family earnings per capita would increase up to a certain percentile in their distribution

among employees aged 55 and older as the fraction of older employees affected by an

increase in the minimum wage increased. This hypothesis was based on the supposition

that an increase in the minimum wage could make a contribution to improve family

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earnings among low paid older employees’ households if there was no change in the

employment status of older employees’ partners, in consideration of the fact from Table

7.1 that the majority of older employees were married, and many of their households

consisted of two members. Under the condition that the supposition was true, it was also

hypothesized that an increase in the minimum wage would reduce the gaps between the

lowest percentile of log annual family earnings per capita and the highest or middle

percentiles by increasing the lowest percentile. As in the analysis of the effects on the

wage distribution, the models assumed that regional differences in the fraction of older

employees affected by an increase in the minimum wage reflected the regional wage

differentials, and this could redeem the limitation of no comparison group which was

not affected by an increase in the minimum wage. It was also assumed that an increase

in the minimum wage in a year would only affect the distribution of family earnings for

the corresponding year.

Table 7.7 reports estimates for the changes in the various percentiles of log annual

family earnings per capita among those aged 55 and older and in ratios between the

percentiles. Although the relationship was somewhat more attenuated in the OLS

models than the fixed-effects models for both five-year periods, F-tests of the joint

significance of the fixed effects intercepts showed that the OLS models provided a

better fit than the fixed-effects models for both five-year periods. The effects were

clearly different between the two periods. For the first five-year period with one of the

highest rates of increase in the minimum wage, no statistically significant correlation

between the changes in the various percentiles of log annual family earnings per capita

among older employees and the fractions of older employees who were previously paid

less than a new minimum wage or between an old and a new rate was found. Instead,

the change in the employment rate of older employees by regoin was positively

correlated with the changes in the 10th and 90th percentiles of log annual family earnings

per capita among older employees at a significance level of 0.01. Corresponding to

these results, no estimate for the relative changes in the perceniles of log annual family

earnings per capita among older employees showed a significant effect from the

increase in the minimum wage during this five-year period but sizable reductions in the

90th/10th and 50th/10th percentile ratios by the change in the employment rate of older

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Table 7.7 Estimated Models for Changes in the Percentiles of Log Family Earnings among 55+ Employees, 2004-2008 and 2009-2013

2004 - 2008 2009 - 2013 OLS Models

P10 P50 P90 P90/P10 P50/P10 P10 P50 P90 P90/P10 P50/P10

Fraction Affected -0.46

(0.51)

-0.27

(0.24)

-0.37

(0.25) 0.05 (0.13) 0.05 (0.11) 0.42 (0.40)

0.51

(0.19)*** 0.17 (0.14) -0.05 (0.11) 0.02 (0.10)

Fraction Newly Affected 1.08 (0.89) 0.57 (0.42) -0.34

(0.45)

-0.27

(0.23)

-0.10

(0.19) -0.40 (1.51) -0.32 (0.71) -0.30 (0.53) 0.12 (0.40) 0.11 (0.37)

Change in Employment Rate 5.90

(2.26)** 1.14 (1.07)

2.47

(1.14)**

-1.17

(0.59)*

-1.23

(0.49)** 2.63 (1.94) 0.33 (0.91) -1.06 (0.68)

-0.97

(0.52)* -0.65 (0.47)

R-Squared 0.11 0.05 0.10 0.07 0.09 0.04 0.09 0.05 0.05 0.03

Fixed-effects Models

P10 P50 P90 P90/P10 P50/P10 P10 P50 P90 P90/P10 P50/P10

Fraction Affected -0.82

(0.80)

-0.51

(0.38)

-0.94

(0.38)** 0.05 (0.21) 0.08 (0.17) 0.52 (0.53)

0.61

(0.25)** 0.19 (0.19) -0.04 (0.14) 0.04 (0.13)

Fraction Newly Affected 1.58 (1.11) 0.72 (0.52) -0.25

(0.53)

-0.37

(0.29)

-0.17

(0.24) -0.58 (1.80) -0.57 (0.84) -0.42 (0.63) 0.16 (0.48) 0.12 (0.44)

Change in Employment Rate 6.70

(2.61)** 1.45 (1.23)

3.26

(1.24)**

-1.25

(0.68)*

-1.36

(0.56)** 3.28 (2.25) 0.35 (1.05) -1.06 (0.79)

-1.13

(0.60)* -0.79 (0.55)

R-Squared 0.13 010 0.18 0.08 0.10 0.05 0.09 0.05 0.06 0.04

Source: KLIPS data wave6(2003) ~ wave17(2014) Note: ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

201

employees by region. These indicate that even higher increases in the minimum wage

may not have a substantial impact on the distribution of family earnings of older

employees when their employment rate has a strong influence on the distribution. This

result could be a case that new employment, including self-employment, of older

employees’ partners was partially responsible for the increase in family earnings of

older employees’ households in regions with a high change in the employment rate of

older employees. In this case, the effect of an increase in the minimum wage might

become significant in lower percentiles of family earnings of older employees when the

partners’ new employment is controlled.

For the second five-year periods, the fraction affected was positively and significantly

correlated with the change in the 50th percentile of log annual family earnings per capita

among older employees, and the regional change in the employment rate of older

employees was negatively and significantly correlated with the 90th/10th percentile ratio.

These indicate that a marginal increase in the minimum wage had a significant effect on

median family earnings in regions with a high fraction of older employees previously

paid less than a new minimum wage, and employment rates for older employees were

responsible for the gap between the highest and lowest percentiles of family earnings of

older employees in regions with a big change in the employment rate. When recalling

the kernel density plot in Figure 7.2, the results imply that the small increase in the

minimum wage for the second-five year period substantially increased family earnings

of older employees’ households with income from labour below 60 per cent of the

median family earnings for all employees when the fraction of older employees

previously paid less than a new minimum wage rate was large.

Although statistically significant correlations were rarely found, both of the fraction

affected and the fraction newly affected variables were inversely correlated with the

changes in most of the various percentiles of older employees’ family earnings and of

their ratios in both five-year periods, and the sign of each indicator of an increase in the

minimum wage was reversed between the two five-year periods. Considering the fact

that the change in the employment rate had significant effects, mostly for the first five-

year period, the reversed contrasting effects of the two indicators between the two five-

year periods may imply that the change in each fraction for a region was likely to be

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explained to some degree by a certain feature of the change in the employment rate plus

an increase in the minimum wage for the first period while it was not for the second

period, although the results of F-tests showed no unobserved fixed-effects.

Lastly, minimum wage effects on exits from in-work poverty among older employees

aged 55 and older were examined for each five-year period, using the multilevel

discrete-time event history model for competing risks. As mentioned in Chapter Five,

the working poor were defined as employees whose household income was less than 60

per cent of the median annual household income for all individuals surveyed. Since the

median household income is typically much lower than the mean household income in

Korea, the use of the median rather than the mean allows us to avoid an unnecessary

controversy as regards the definition. Note that household income was computed on a

per-capita basis by dividing the total annual amount of family earning and income from

all other sources in an individual’s household by the square root of household size, an

equivalence scale for income estimates. In the models, the dependent variables were

individuals’ transition from being poor while being employed to getting out of poverty

while staying employed, to being unemployed, or to being in other types of employment,

such as self-employment or non-wage family business work. The product of minimum

wage application or not and log hourly real minimum wage was used for indicating an

increase in the minimum wage, as in the analysis of employment effects. Duration spent

in being the working poor and square of duration were also employed as explanatory

variables for testing the effect of duration and its reversal at some point, and sex, age,

level of education obtained, household or not, and the number of family members were

controlled. This event history analysis was conducted, using both fixed-effects and

random-effects models. In the models, it was hypothesized that if an older employee

was affected by an increase in the minimum wage, the employee’s household would be

more likely to exit from poverty while they were employed, as the real minimum wage

increased. This hypothesis was based on the supposition that if a significant proportion

of older employees who previously earned less than a new minimum wage rate was paid

the new rate, household income will be increased by an increase in the minimum wage

among a part of the employees’ households of which around 50 per cent earned less

than 60 per cent of the median annual family earnings, in as much as income from

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labour would be the most critical and elastic income source among low-income

households. The hypothesis also assumed that an increase in the minimum wage would

affect individuals’ transition only in the corresponding year, as in other analyses.

Employees who were aged 55 and over and earned household income per capita less

than 60 per cent of the median at some time in each five-year period were selected from

the original KLIPS datasets for the analysis. In discrete-time format, observations in

which an individual was unemployed, self-employed, in non-wage family business

work, or employed with household income per capita of 60 per cent of the median or

more before being employed with household income per capita less than 60 per cent of

the median were excluded. Observations in which an individual stayed in one of those

states stated above or shifted between the states after a transition from being the

working poor were also excluded. The analysis was based on 276 older employees in

poverty with 280 episodes for the first five-year period and on 421 counterparts with

461 episodes for the second five-year period. Spells in in-work poverty gave a total of

670 and 1,097 person-year observations for the first and second five-year period,

respectively. (Note again that the difference in the total number of cases and

observations included between the two five-year periods is due to the supplement of

respondents from the twelfth wave of the KLIPS in 2009.)

Table 7.8 displays the descriptive statistics by covariates in both individual level and

observation level. There was only a small difference in the share of men and women for

the first five-year period, but the proportion of women was higher by 9.2 per cent than

the one of men for the second five-year period. The average age was 63.74 and 65.11

years old for the two five-year periods, respectively, and those are higher than the

average age of older employees aged 55 and over presented in Table 7.4. The average

level of education obtained was, on the contrary, lower than the average of older

employees for both five-year periods. Householder status was dominant among the

older working poor, and the average number of family members decreased from 2.46 for

the first five-year period to 2.15 for the second five-year period. The average duration

spent in the working poor in an episode was slightly less than two and half years for

both five-year periods. The mean of minimum wage application or not * log hourly real

minimum wage was much higher in both five-year periods than the one for older

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employees aged 55 and older shown in Table 7.4, which means that older employees in

poverty were more affected by the minimum wage than the non-poor.

Table 7.8 Descriptive Statistics of 55+ Working Poor by Covariates, 2004-2008 & 2009- 2013

2004 - 2008

2009 - 2013

Individual /

Episode

Observation

Individual /

Episode

Observation

Number of Total

256 / 280 670

421 / 461 1,097

N (%) N (%)

N (%) N (%)

Sex

Male

131 (51.2) 341 (50.9)

191 (45.4) 482 (43.9)

Female

125 (48.8) 329 (49.1)

230 (54.6) 615 (56.1)

Mean (SD) Mean (SD)

Mean (SD) Mean (SD)

Age

63.74 (5.768) 64.22 (5.739)

65.11 (7.165) 65.55 (7.084)

Education

1.25 (0.433) 1.23 (0.423)

1.24 (0.430) 1.23 (0.421)

N of Family Members

2.46 (1.119) 2.47 (1.187)

2.15 (1.040) 2.09 (1.037)

Householder or not

0.75 (0.426) 0.75 (0.431)

0.76 (0.422) 0.78 (0.415)

Duration Spent in Working

Poor

2.43 (1.185) 1.99 (1.100)

2.42 (1.130) 1.95 (1.056)

MW Application or not * Log

Real MW

3.88 (3.443) 4.13 (3.992)

4.42 (3.465) 4.71 (4.023)

Source: KLIPS data wave6(2003) ~ wave17(2014)

The estimated coefficients and standard errors from the fixed-effects models for

competing risks are shown in Table 7.9. Both the chance of exiting from poverty while

being employed and the hazard of being unemployed significantly increased with the

duration spent in poverty while being employed for both five-year periods. However,

the magnitude of the duration effect for exits from in-work poverty among older

employees was larger than for the transition to unemployment for the first five-year

period with one of the highest rates of increase in the minimum wage, while it was

reversed for the second five-year period with the lowest rate of increase. The result that

an older employee with a longer duration in working poverty was more likely to be out

of it contradicts the conventional wisdom that people staying longer in poverty tend to

find it harder to exit from poverty. But, the observation period in the analysis was a five-

year term, and the result does not represent the long-term effects of poverty. The

205

duration effect from the analysis can be understood that, at least in short or middle-term

period, relatively longer employment would help older employees in poverty to make a

little financial room or small savings by tightening consumption.

Regarding the effect of the minimum wage, there was no evidence that the minimum

wage raised the chance of exiting from in-work poverty among older employees. No

transition from being poor while being employed significantly increased or decreased

with the product of minimum wage application or not and log real minimum wage

variable for the first five-year period with one of the highest rates of increase in the

minimum wage. Rather, the variable indicating minimum wage increases reduced the

chance of exits from poverty among older employees for the second five-year period

with the lowest rate of increase in the minimum wage. These results indicate that even a

large increase in the minimum wage had no impact on older individuals’ exits from in-

work poverty, and a very low increase was responsible for reducing the odds to exit

from in-work poverty among older employees. Assuming that income from labour is the

largest portion of household income among the older working poor, the results on older

employees’ exits from poverty is consistent with the results on the distribution of family

earnings, in as much as minimum wage increases for the first five-year period had no

significant effect while the increases for the second five-year period only raised the 50th

percentile which was presumably less than 60 per cent of the median family earnings for

all employees. As regards other covariates in the model, older employees’ age

significantly decreased the chance to exit from in-work poverty for both five-year

periods and increased the hazard of being unemployed for the second five-year period,

and those obtained higher education were more likely to be out of poverty while being

employed for both five year periods.

Table 7.10 reports the results from the random-effects model, showing the same pattern

as in the fixed-effects model. A difference is the significance in the effect of

householder status. The estimated covariance between the random-effects was negative,

possibly suggesting that an older employee who exited from in-work poverty in a short

time period was more likely to spend a longer time for the transition to unemployment

or self-employment, whereas an older individual in in-work poverty for a longer time

tended to have a shorter time for the transition to other states. But, since the covariance

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Table 7.9 Estimated Fixed-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013

2004 - 2008 2009 - 2013 Working Poor -> Exit

from In-Work

Poverty

Working Poor ->

Unemployment

Working Poor -> Self-

Employment

Working Poor -> Exit

from In-Work

Poverty

Working Poor ->

Unemployment

Working Poor ->

Self-Employment

Constant 3.116 (1.837)* -3..906 (1.795)** -3.954 (4.070) 0.545 (1.104) -5.857 (1.298)*** -5.009 (3.226)

Duration in Working

Poor 0.784 (0.332)** 0.676 (0.337)** 0.312 (0.743)

0.619 (0.220)*** 0.924 (0.292)*** 0.286 (0.671)

Duration*Duration -0.017 (0.050) -0.038 (0.050) -0.006 (0.115) -0.018 (0.035) -0.067 (0.043) -0.012 (0.110)

MW Application or

not*Log Real MW 0.012 (0.034) -0.004 (0.035) -0.050 (0.085)

-0.055 (0.025)** 0.012 (0.031) 0.014 (0.076)

Sex (ref. is male)

Female -0.514 (0.366) 0.100 (0.347) -0.978 (0.967)

0.142 (0.239) -0.009 (0.284) -1.097 (0.768)

Age -0.086 (0.027)*** 0.020 (0.025) 0.045 (0.056) -0.039 (0.015)*** 0.056 (0.017)*** 0.031 (0.041)

Education (ref. is middle

& lower)

High School &

higher 1.021 (0.304)*** 0.278 (0.353) 0.007 (0.872)

0.468 (0.207)** -0.129 (0.294) -0.668 (0.788)

Householder or not (ref.

is no)

Householder -0.226 (0.403) 0.358 (0.411) -1.722 (0.995)*

0.032 (0.275) 0.083 (0.352) -0.366 (0.996)

N of Family Members 0.133 (0.114) 0.073 (0.122) -0.492 (0.421) 0.112 (0.096) 0.008 (0.130) -0.142 (0.352)

Case / Observation 256 / 670 421 / 1,097

Source: KLIPS data wave6(2003) ~ wave17(2014) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

207

Table 7.10 Estimated Random-effects Models for Transitions from In-Work Poverty among 55+ Employees, 2004-2008 and 2009-2013

2004 - 2008 2009 - 2013

Working Poor -> Exit

from In-Work

Poverty

Working Poor ->

Unemployment

Working Poor ->

Self-Employment

Working Poor -> Exit

from In-Work

Poverty

Working Poor ->

Unemployment

Working Poor ->

Self-Employment

Constant 4.477 (2.383)* -4.516 (2.457)* -19.341 (17.183) 0.512 (1.061) -7.292 (2.235)*** -6.074 (3.608)*

Duration in Working Poor 1.093 (0.425)*** 0.969 (0.435)** 4.328 (4.493) 0.813 (0.299)*** 1.199 (0.458)*** 0.532 (0.797)

Duration*Duration -0.020 (0.058) -0.039 (0.057) -0.208 (0.459) -0.015 (0.038) -0.066 (0.050) -0.031 (0.118)

MW Application or not* Log

Real MW 0.031 (0.041) -0.009 (0.041) -0.015 (0.269)

-0.061 (0.027)** 0.015 (0.036) 0.031 (0.082)

Sex (ref. is male)

Female -0.683 (0.479) 0.115 (0.455) -3.679 (5.191)

0.110 (0.272) -0.065 (0.350) -1.358 (0.836)

Age -0.114 (0.036)*** 0.025 (0.034) 0.223 (0.249) -0.041 (0.015)*** 0.073 (0.026)*** 0.039 (0.041)

Edu (ref. is middle & lower)

High School & higher 1.241 (0.413)*** 0.294 (0.446) 0.211 (3.743)

0.539 (0.246)** -0.222 (0.380) -0.999 (0.941)

Householder or not (ref. is

no)

Householder -0.364 (0.524) 0.383 (0.509) -6.642 (6.311)

-0.023 (0.316) 0.092 (0.440) -0.316 (1.151)

Number of Family Members 0.129 (0.149) 0.036 (0.154) -1.840 (2.214) 0.116 (0.110) -0.003 (0.154) -0.212 (0.382)

σ²ᵥ0 1.167 (0.900) 0.542 (0.459)

σᵥ01, σ²ᵥ1 -0.260 (0.531) 1.355 (0.942) 0.037 (0.476) 1.186 (1.700)

σᵥ012, σᵥ12, σ²ᵥ2 -2.517 (5.701) 3.859 (5.903) 93.297 (109.890) -0.149 (0.565) 0.525 (1.691) 1.424 (2.150)

Deviance (MCMC) 768.713 1,423.657

Case / Observation 256 / 670 421 / 1,097

Source: KLIPS data wave6(2003) ~ wave17(2014) Note: Parameter estimtes are the modal estimates from 50,000 chains; ( ): Standard errors; *** = p < 0.01, ** = p < 0.05, * = P < 0.1

208

estimate was small relative to its standard error, there is no evidence of a correlation

between the unobserved individual-level characteristics affecting the chance of exits

from in-work poverty and those affecting the risk of a transition to other states.

Overall, high increases in the minimum wage had no significant impact on the

distribution of family earnings of older employees. Rather, marginal increases in the

minimum wage were responsible for the rise in the median of older employees’ family

earnings, which was presumably below 60 per cent of the median of family earnings for

all employees, in regions with a high fraction of older employees who were paid below

the minimum wage. High increases in the minimum wage also had no significant effect

on exits from in-work poverty among older employees, but small increases in the

minimum wage marginally reduced the chance for older employees in poverty to exit

from it. All the results were consistent, assuming that income from labour would take up

the majority of houshold income in an older employee’s household in poverty. However,

the results of the effect on the distribution of family earnings for the first five-year

period may not provide a convincing evidence on the impact of high increases in the

minimum wage, considering the facts that even marginal increases in the minimum

wage had a significnat effect on the increase in the median of older employees’ family

earnings and also that regional change in the employment rate significantly affected the

distribution of older employees’ family earnings for the first five-year period. It may

imply, as mentioned earlier, that if a factor associated with the regional change in the

employment rate among older employees, such as new employment of older employees’

partners, is controlled, the increase in the minimum wage might have a significant effect

on some percentiles of family earnings of older employees. Furthermore, the findings

from OLS and fixed-effects models at the regional level, including the results of the

effects on the distribution of wages and on employment and unemployment rates,

should be cautiously reviewed because the difference from each corresponding

comparison group was not reflected in the models. An ideal method to provide

convincing evidence of minimum wage effects and the extent to which the findings

answered to the two research questions addressed will be briefly discusssed in the last

section.

209

Conclusion

This chapter examined the effects of the minimum wage on the distributions of wages

and family earnings, employment, and exits from in-work poverty among older

employees. Regardless of the rate of increase, the minimum wage created a spike at or

around the minimum wage in the distribution of wages for older employees, but a large

proportion in the distribution left below the minimum wage. High increases in the

minimum wage had significant effects on middle percentiles of wages among older

employees while low increases in the minimum wage had only on the median of wages

among them. Further, high increases in the minimum wage reduced marginally and

significantly the wage gap between the highest wage bracket and the lowest or lower-

middle wage brackets but changed ambiguously the gap between the middle and lowest

wage brackets. Low increases in the minimum wage had marginal and significant

effects on the wage gap between the highest wage bracket and the lowest or middle

wage brackets. In terms of the employment effects, there was no significant correlation

between the increase in the minimum wage and regional changes in employment or

unemployment rates among older employees for the period with highest rates of

increase in the minimum wage. By contrast, low increases in the minimum wage were

negatively and significantly correlated with regional changes in unemployment rates

among older individuals. As regards the effects on the distribution of older employees’

family earnings, no significant effect was found for the period with high increases in the

minimum wage, whereas low increases were responsible for the rise in the median of

older employees’ family earnings. Further, high increases in the minimum wage had no

significant effect on exits from in-work poverty among older employees’ households,

and small increases in the minimum wage marginally but significantly reduced the

chance for older employees’ households in poverty to exit from it.

All the results were obtained from appropriate methods with consideration for the

institutional peculiarities of the Korean national minimum wage. However, whether the

results provide convincing evidence on minimum wages effects for older workers,

particularly regarding the distributional effects on wages and family earnings and

employment effects obtained from OLS and fixed-effects models at the regional level,

should be reviewed. If equivalent data are available for before the introduction of the

210

minimum wage or for regions or sectors with no application of the minimum wage, the

models can be tested for the difference between times in the difference between the

various percentiles of wages and family earnings or employment and unemployment

rates before the introduction of the minimum wage or in regions/sectors where it is not

applied and their counterparts after the introduction or in regions/sectors with an

increase in the minimum wage. The estimates from the models with the dependent

variables which allow for the difference between treatment groups and comparison

groups can provide robust evidence of minimum wage effects. The findings from the

analyses in which no comparison group was set up thus can be assumed to inform of

high plausibility as regards minimum wage effects by the accordance within the results.

By comparsion, the event history analyses at the individual level directly addressed the

concerned transitions, and thus the results can be regarded as evidence of minimum

wage effects for older employees. However, as mentioned earlier, if the research focus

of employment effects includes the effects on new hires, or the research interest is

extended, based on the results for exits from in-work poverty, to whether an increase in

the minimum wage brings about the flow into in-work poverty, further examinations are

needed by creating multiple starting points in individuals’ transitions. These are left as

future research topics as regards minimum wage effects on older workers.

211

Chapter Eight Political Economy of the Impact of Minimum Wages

Introduction

This chapter explores the third research question, how the empirical results of the

minimum wage effects on older workers can be understood, based on the political

economy framework proposed in Chapter Five. Before going into the contextual

analysis employing the framework for understanding the effects found in Chapter

Seven, they are comprehended on the basis of economic predictions and the general

rules in the economy and the labour market. In this section, to what extent the empirical

results can be understood by the mainstream economic theories’ explanations of

minimum wage effects and in what sense further accounts are needed will be discussed.

Then, the empirical results are interpreted through the contextual analysis of the implicit

characteristics of the minimum wage under each government. In as much as the main

goal of minimum wage policy is low paid workers’ financial well-being, the discussion

in the contextual analysis targets at comprehensive effects of the minimum wage for

older employees in each five-year period, rather than at the results concerning

individuals examined in the quantitative analyses.

Economic Interpretation of the Empirical Results

Although some were presented in the previous chapter, an economic understanding of

the empirical results is needed to figure out what can be explained by the dominant

economic theory and what needs to be further explained. In terms of effects on the wage

distribution among older employees, spikes at or around the minimum wage but a

significantly large proportion in the left tail of the wage distribution indicate that an

increase in the minimum wage had a limited distributional effect with a large level of

noncompliance. As mentioned in Chapter Seven, the proportion of workers paid below

the minimum wage is partly related to the sub-rate for surveillance or intermittent work

and the unconventional avoidance of paying the minimum wage in the transportation

212

sector in South Korea. Yet the fact that a sizable portion of older workers were paid

much less than a minimum wage points to widespread noncompliance among employers

who hire older workers. Since there are no official data sources to show the state of

noncompliance, its size and causes are not known. It might be assumed that the level of

a minimum wage is above the one that small businesses can afford to pay for labour.

However, if noncompliance for older employees occurred with a wage policy of

different pay for equal work among employers hiring older workers, why

noncompliance with the minimum wage is prevalent particularly for older employees

should be explained.

The results of the minimum wage effects on the wage distribution among older

employees for the two five-year periods indicate that an increase in the minimum wage

makes an ambiguous change in their lowest wage bracket, regardless of its rate of

increase, and a minimum wage functions as a wage floor for their wage differentials in a

different manner, depending on its rate of increase. The fact that high increases in the

minimum wage raised the various percentiles of wages from the lower-middle to the

upper-middle whereas low increases did only the median wage of older employees and

that the two indicators of an increase in the minimum wage had contracting effects on

the wage distribution among older employees, can be explained by different pressure

that firms face with regard to an increase in the minimum wage, as mentioned in

Chapter Seven. That is, the high increases impose more pressure on firms hiring older

workers to lift wages from the bottom, but such pressure becomes relatively weakened

with the low increases in the minimum wage, leading to ambiguous spillovers. Firms’

different pressure in terms of the level of increase in the minimum wage is based on

their concern about human resource available. This seems to make firms focus more on

the level of wages within each group of workers with different qualifications and skills

and wage differentials between them, rather than compliance with the minimum wage.

This account also provides good insights into the results of the wage gap among older

employees. Assuming that the results for the various percentiles of wages are the

outcome of employers’ different response to different level of increase in the minimum

wage, the reduction of the wage gap between the upper wage bracket and the lowest or

the lower-middle wage brackets, plus the ambiguous change in the gap between the

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middle and the lowest wage brackets for the first five-year can be regarded as the

consequence of wage rises in the lowest wage bracket likely as much as the one in the

middle wage bracket and the rise in the lower-middle percentiles by the high increases

in the minimum wage. By contrast, the marginal reduction in the wage gap between the

upper wage bracket and the lowest or the middle wage brackets for the second five-year

period can be regarded as the outcome of the ambiguous change in the lowest wage

bracket, the wage rise in the middle wage bracket, and the insignificant but falling

tendency in the upper percentile of wages of older employees by the low increases in

the minimum wage. Despite this understanding of the effects on the wage distribution

among older employees, why firms are indifferent to compliance with the minimum

wage in spite of its legal sanction still remains to be answered.

The results that no disemployment effect was found either at the regional level or at the

individual level, regardless of the level of increase in the minimum wage, bring up the

possibility that older workers experience monopsonistic conditions in the labour market.

Compared to younger workers, the number of firms and the scope of industries which

offer jobs to older workers are more restricted, and the job search frictions in the labour

market which lead to imperfect information about the wages provided by employers is

more likely among older workers due to their limited computer literacy and propensity

not to make big job moves. These may support the critical assumption of monopsony

models that the elasticity of labour supply is not perfectly infinite, and thus a

monopsonist faces an upward-sloping labour supply curve. The point that wages among

older workers are distributed at much lower levels than among younger workers may

also indicate that monopsonistic market equilibrium wage is applied to older employees.

However, as critics of monopsony models argue, it is questionable that small employers

hiring low paid older workers have sufficient market share to have monopsonistic power

over wages. Furthermore, even if all the above assumptions of monopsony models are

acknowledged as true for older workers, the neutral employment effects found in both

five-year periods with very different levels of increase in the minimum wage is not

properly explained with the monopsony model in which a minimum wage set at the

point where the marginal cost of labour curve meets the marginal revenue product of

labour curve has a neutral employment effect. Provided that the annual growth rate of

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wages for all employees roughly substitutes for the point that the marginal cost of

labour curve meets the marginal revenue product of labour curve, a reduction in

employment should have been caused, at least during the first five-year period with one

of the highest rates of increase in the minimum wage. For the minimum wage was

raised twice as fast as the average annual wage for all employees during the first-five

years, whereas the rate of increase in the minimum wage was as much as the annual

growth rate of wage for all employees in one year and much less in another year during

the second five-year period.1 In this regard, no disemployment effect among older

employees, irrespective of the level of increase in the minimum wage, still remains to be

further explained.

With regard to household income, high increases in the minimum wage had no effect on

the distribution of family earnings of older employees. Instead, regional change in the

employment rate of older employees had a substantial impact on the distribution of their

family earnings for the period with high increases in the minimum wage. Considering

the results for the second five-year period that low increases in the minimum wage

significantly raised the median family earnings of older employees in regions with a

high fraction of those paid less than the minimum wage, no effect of high increases in

the minimum wage may not be concluded. As stated earlier in Chapter Seven, if an

additional covariate, such as new employment, including self-employment, of older

employees’ partners, is controlled, the significance of the indicators of an increase in the

minimum wage might partially revive. This supposition is roughly supported by the fact

stated in Chapter Six that many women started to engage in the labour market in order

to prepare for plausible financial shortages in their family as the labour market became

dramatically insecure from the early 2000s. Nonetheless, such an account provides only

a partial clue to the insignificant effects on the distribution of family earnings among

older employees and does not directly address how the effects of high increases in the

minimum wage were restrained. By comparison, the result that low increases in the

minimum wage for the second five-year period increased the median family earnings

among older employees suggests that even a marginal increase in the minimum wage

would give some benefits directly to their low-income households, in that the median

family earnings for older employees are much lower than the median for all employees.

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This is because older workers affected by an increase in the minimum wage are more

likely to be breadwinners in their families, unlike their younger counterparts. However,

the reduction in the chance for older employees to exit from in-work poverty by an

increase in the minimum wage was inconsistent with the results for the distribution of

family earnings among older employees for this period. A large proportion paid less

than the minimum wage could give a clue to the result for their exits from in-work

poverty, but the significant increase in the median family earnings among older

employees had the potential to improve their chance to exit from in-work poverty. These

insufficient explanations as regards older employees’ family earnings and exits from in-

work poverty ultimately address the questions of how the minimum wage operates in

practice and for what.

As reviewed in Chapter Five, the mainstream economic explanations stress that

employment effects as well as the distributional effects should be allowed for when we

explore the minimum wage effects on workers’ welfare. Although the quantitative

analyses did not address minimum wage effects on new hires among older workers, the

fact that no disemployment effect was found at both regional and individual levels

implies that older employees’ overall well-being may not decline as a result of the

disemployment effect of the minimum wage. In particular, the insignificant effect on the

transition from in-work poverty to unemployment or self-employment/non-wage family

business work among older employees, regardless of the level of increase in the

minimum wage, suggests that a more skilled older workers’ employment is not at the

expense of raising the risk of unemployment for other less skilled employees. This

indicates that, with regard to the increase in the minimum wage, older employees’

welfare is likely to be more involved in its distributional effects than its employment

effects, which also leads to great stress on the issue of how the minimum wage operates

in practice and for what. The issue is fundamentally related to the policy process of

decision-making and implementation. The questions and issues addressed in this section

will be further discussed in the rest of this chapter, through a contextual analysis

focusing on the minimum wage fixing process.

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Political Economy Construction of the Minimum Wage Effects

The economic understanding of the empirical results leaves the questions of why the

increase in the minimum wage does not negatively affect older employees’ employment,

regardless of its level of increase, why noncompliance with the minimum wage

significantly exists among older employees, regardless of its level of increase, despite

the legal sanctions, and ultimately how the minimum wage operates in practice and for

what. Considering that two ideologically opposing administrations reigned during the

two five-year periods and that the minimum wage is a public policy shaped by political

orientation and power as well as by economic forces, those questions are explored with

the political economy framework proposed in Chapter Five. This contextual analysis

starts with a discussion of government political orientation as regards the policy,

particularly economic and labour policies, which alludes the direction of the minimum

wage in its fixing and implementation. Note that the main adjustments to minimum

wage policy and major political economic developments stated below are summarised

in Appendix 12.

Government Political Orientation

The two administrations which were included in the research periods of the empirical

study are based on contrasting political ideologies. The Roh, Moo-Hyun administration

from 2003 to 2008 was the second progressive (centre-left) government in Korean

political history, and the Lee, Myung-Bak administration from 2008 to 2013 was a

conservative one. Notwithstanding the difference in the general political orientation and

the broad policy stance, economic and labour policies in both administrations were

commonly oriented towards neoliberalism, which stressed a market-centred economy

regulated by the private sector rather than the public sector, by means of small

government, the enhancement of business efficiency, trade liberalisation, market

openness, privatization, devaluation and deregulation.2

The Roh, Moo-Hyun Administration (2003-2008)

Although President Roh, Moo-Hyun clearly defined his administration as progressive3,

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the appraisal of his administration’s economic policy has been controversial until

recently. This controversy results from the fact that the administration used neoliberal

market-driven policies mixed with Keynesian interventionist ones (Kim, K-O, 2011).

Real estate policies and safety net policies were led by government interventions during

his period in office, but the Roh administration maintained the neoliberal economic

policies which the Kim, Dae-Jung administration, following the International Monetary

Fund (IMF)’s strong recommendation under its bailout programme with the 1998

Korean financial crisis, had introduced for the reform in finance, chaebol (Korean

conglomerates), the public sector, and labour (Kim, K-O, 2011). From the beginning of

the Roh administration, economic growth was put at the top of its agenda (Kim, K-O,

2011), and it proposed an advance toward ‘the era of a twenty thousand dollars GDP per

capita [국민소득 2만불 시대]’ as the top priority of the policy objective which was, as

widely known, from The Agenda of Government Policies and State Affairs [국정과제와

국가운영에 관한 아젠다], an approximately 400 page-long report suggested to Roh, the

then president-elect, by the Samsung Economic Research Institute (SERI), a private

think tank within the Samsung Business Group (Jeong, S-H, 2008, p.29). Monetary

market liberalisation aiming at a conversion into an East Asian financial hub, the

expansion of trade liberalisation through the free trade agreement (FTA), and the

deregulation of chaebol were major neoliberal strategies for achieving the objective that

the Roh government adopted (Yoo, T-H, Park, J-H, Kim, S-H and Lee, S-H, 2008,

quoted from Kim, K-O, 2011).

The East Asian financial hub plan was set seal on in December of 2003 with the goal of

setting up the institutional foundation for the financial hub by 2007, constructing asset

management industry-specialised financial hub by 2012, and developing South Korea as

one of the big three financial hub in Asia by 2020 (The National Economic Advisory

Council [국민경제자문회의], 2007, p.225)4. Based on this roadmap, the Roh

government focused on building the institutional infrastructure for the growth of

financial market, such as ‘the capital market consolidation act [자본시장통합법]’ and

the liberalisation of foreign exchange transactions. The Financial Investment Services

and Capital Markets Act [자본시장과 금융투자업에 관한 법률], so called, the capital

market consolidation act, was legislated in July of 2007, replacing six of the then

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sixteen existing financial business laws, including the Securities and Exchange Act [증

권거래법], the Futures Trading Act [선물거래법], the Indirect Investment Asset

Management Business Act [간접투자자산운용법], the Trust Business Act [신탁법업],

the Korea Securities and Futures Exchange Act [한국증권선물거래소법], and the

Merchant Banks Act [종합금융회사에 관한 법률] (The Ministry of Strategy and

Finance [기획재정부]). The act introduced the negative list system, ‘which allows all

products and practices except those that are specifically prohibited (OECD, 2008,

p.111)’ into financial investment goods (The National Economic Advisory Council [국

민경제자문회의], 2007, p.226), which led to a broadening of the scope of investment

products, allowed a single firm to have the cross-ownership of securities, asset

management, futures, merchant banks, and trust businesses, except banking and

insurance, which would help Korean financial investment firms to grow up comparable

to the global firms, such as Goldman Sachs and Morgan Stanley (Cho, S-H, 2007, p.21;

Kim, D-H, 2008). The introduction of the negative list system into financial investment

goods also converted regulations that had applied to financial institutions and thus

contained the possibility of ‘regulatory arbitrage ’ into ‘functional regulation, under

which a single regulation is imposed on a single investment service regardless of the

institutions that provide it ’(Cho, S-H, 2007, p.21; Kim, D-H, 2008). The Roh

government also expanded the liberalisation of foreign exchange transactions through

switching over from the capital transactions approval system to a reporting system in

January, 2006 (The National Economic Advisory Council [국민경제자문회의], 2007,

p.226), raising the ceiling on total foreign property purchases for the purpose of

investment in February, 2007 and at the same time, relaxing the procedural requirement

for outward direct investment (Oh, J-R, 2010).

The Korea-U.S. FTA is also a representative neoliberal policy that the Roh government

carried out in as much as it required an opening of the domestic market, ultimately in

full scale, through trade liberalisation (Kim, K-O, 2011, p.290). The government set up

the road map for the FTA in March, 2003, and revised it in May, 2004 as a change in the

international trade environment was sensed in the course of the Doha Development

Agenda (DDA) negotiation among the World Trade Organization (WTO) members,

which proceeded with difficulty (Myoung, J-H, Jeong, H-S, Je, H-J and Moon, S-G,

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2014, p.4). The road map aimed at reaching an agreement with countries which were

able to immediately begin the negotiation, such as Singapore, Japan, Mexico, Canada,

the European Free Trade Association (EFTA) states (Iceland, Liechtenstein, Norway,

and Switzerland), for a short-term plan, and with countries which belonged to a large,

advanced economic bloc, such as the United States, the EU states, and China, for a

mid/long-term plan (The Federation of Korean Industries [전국경제인연합회], 2004,

pp.5-6; Myoung, J-H, Jeong, H-S, Je, H-J and Moon, S-G, 2014, p.4). Ultimately,

countries with a large, advanced economy, particularly the United States, were the key

targets in the FTA plan since the Roh government perceived the FTA as a new strategy

for economic growth under the US-led neoliberal order of international economy (Kim,

K-O, 2011). It was expected that, facing China’s rapid economic growth based mainly

on manufacturing, the rearrangement from manufacturing industry-centred economic

structure with high dependence on exports to a service industry-driven one would be

achieved by adopting the advanced service industry through the FTA with the United

States, and this would lead to a new growth drive and job creation (Lee, B-C, 2006).

Until 2007, the Roh government achieved the conclusion of the FTA with 16 countries,

including the United States and the EU, and preliminary negotiations with about 40

states (Kim, K-O, 2011, p.291). However, the results of the negotiation with the United

States fell short of expectations in terms of opening the service sector as the former

president Roh and trade experts pointed out and the Financial Times commented ‘not a

big deal’ on the Korea-U.S FTA (Kim, Y-H, 2007).

The growing importance of business competitiveness under the neoliberal order of

international economy drove the Roh government to turn its regulatory policy on

Chaebols into deregulation of them (Kim, K-O, 2011). Facing the persistent demand

and pressure from business and the worsened polarisation of wealth with the rise in

unemployment, the government relaxed the regulations of large business in practice

between 2004 and 2007 in order to induce their expansion of investment and

employment (Kim, K-O, 2011, p.294). The Monopoly Regulation and Fair Trade Act

[독점규제 및 공정거래에 관한 법률] amended in 2004 extended the scope of

exemption from the regulations governing the ceiling on total equity investment [출자총

액제한제도] and lowered the minimum share that a subsidiary company was required to

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hold for its own subsidiary (Sung, T-Y and Kim, W-C, 2008, p.128). The further

revision of the Act in 2007 sharply scaled down the scope of business entities subject to

the equity invest limit from all affiliates to a business group with assets of over 6 trillion

won (about £ 4 billion or $ 5.3 billion at the exchange rate of June, 2017) to companies

with assets of over 2 trillion won affiliated to a business group with assets of over 10

trillion won and raised the ceiling on the total amount of investment from 25 per cent of

net worth to 40 per cent (Kim, C-H, 2007; Lee, S-K, 2007; Sung, T-Y and Kim, W-C,

2008, p.128; Kim, K-O, 2011, p.295). Varieties of regulations for a holding company

were also relieved, including easing debt-to-equity ratio limit [부채비율한도 완화] and

lowering the minimum share in its subsidiary company [자회사에 대한 최소지분율 하

향조정] (Sung, T-Y and Kim, W-C, 2008, p.128).

The labour policy of the Roh, Moo-Hyun administration initially aimed at the creation

of decent work, the construction of industrial relations for social integration, and the

improvement of quality of life, through introducing labour rights at the level of global

standards, relieving discrimination against non-regular workers, and adjusting the

minimum wage rate to a realistic level. But, the policy was radically altered into ‘the

subordinate neoliberal approach’ [종속적 신자유주의 노동체제] (Roh, J-K, 2006, p.11)

within four months after the administration taking office. The approach included wage

cuts through shortened working hours, labour market flexibility, the restriction on civil

servant unions, the expansion of non-regular work, and the exclusion of labour from the

policy-making process (Cho, D-M, 2006; Roh, J-K, 2006). Dealing with the issue of the

Doosan Heavy Industry and Construction worker who burned himself as a plea for just

treatment, the first rail strike, and the first unionised cargo truckers strike, which

occurred around the launch of his administration, Roh showed his strong intent to

reform industrial relations. However, as the second rail strike, the strike of the Korean

Teachers and Educational Workers’ Union against the National Education Information

System (NEIS), and the second unionised cargo truckers strike proceeded shortly, the

Roh government’s inclusionary labour policy was completely abandoned (Roh, J-K,

2006, p.4). Instead, amending the Labour Standards Act [근로기준법] in August, 2003

the government reduced working hours from 44 hours a week to 40 hours, which led to

a wage cut among employees (Cho, D-M, 2006, p.197). But, in the amended Act, wage

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preservation provision was not clearly defined. Rather, the unit term to operate

exceptions in applying working hours was extended from one month to three months ,

the number of paid leave was adjusted, and menstrual leave was changed from paid to

unpaid in order to prevent labour costs from increasing (Kim, S-T and Kim, W-S, 2004).

Also, the phased enforcement of the amendment was at odds with the original purpose

of the prevention of working long hours because it applied to small and medium-sized

firms, where working hours was typically very long, seven year later than its first

enforcement. The Roh administration’s labour policy switch was formulated by ‘the

advanced industrial relation plan’ [노사관계선진화개혁방안], which was whomped up

in one month autonomously by the Ministry of Employment and Labour and announced

in September, 2003 (Roh, J-K, 2006, pp.5-6). The major feature of this plan was to

legally institutionalise the so called, ‘employers’ right to resist labour disputes’ [사용자

대항권] with the aim of minimising the cost occurred from the conflict between

employers and employees, reinforcing flexibility in the labour market, and establishing

law order in industrial relation (Roh, J-K, 2006, p.6; Cho, D-M, 2006, p.205). In the

same vein, the Roh government brought in a bill on the protection of non-regular

workers [비정규직 보호법안] in August, 2004 (Roh, J-K, 2006, p.7) and the bill on the

establishment and operation, etc. of public officials’ trade unions [공무원의 노동조합

설립 및 운영에 관한 법안] in October of the same year (The Confederation of Korean

Government Employee's Unions [대한민국공무원노동조합총연맹], 2015). The key

point of the bill on the protection of non-regular workers which was legislated later into

three laws, the Act on the Protection, etc. of Fixed-Term and Part-time Workers [기간제

및 단시간근로자 보호 등에 관한 법률], the Act on the Protection, etc. of Temporary

Agency Workers [파견근로자보호 등에 관한 법률], and the Labour Relations

Commission Act [노동위원회법] was that a temporary, non-regular workers in service

for 2 years should be changed to a permanent, regular position. But, employers can

discharge a temporary, non-regular worker in service for less than 2 years legally under

the laws, leading to mass dismissal. The bill on public officials’ trade unions restricted

the membership of civil servant unions to those who were involved only in general

service but in direction and supervision, limited agenda for collective agreements, and

banned political and collective actions (Roh, J-K, 2006, p.7; The Confederation of

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Korean Government Employee's Unions [대한민국공무원노동조합총연맹], 2015).

The Lee, Myung-Bak Administration (2008-2013)

The former president Lee, Myung–Bak claimed to stand for neoliberalism as the

keynote of economic policy from the period of his president-elect, such as ‘small

government and big markets’, privatisation, deregulation, welfare reduction, and

flexible labour market. More precisely, the neoliberalism that the Lee government

practised for its first priority aim of economic growth was a modified neoliberal

approach combined with development idea which was reminiscent of state economic

management for development in the 1960s in Korea (Lee, G, 2008; Lee, J-K, 2013,

p.63). The most critical goal of the Lee administration was to achieve the, so called,

‘747 election pledge [747 공약]’ which referred to sustained economic growth of 7 per

cent, the era of a 40 thousand dollars GDP per capita, and the entry to the top 7

advanced states in the world. The Lee government employed as the main measures for it

tax reduction, low interest, devaluation of Korean currency, business-friendly policies,

and ‘the Four Major Rivers Restoration Project’[4대강살리기사업], the government’s

multi-purpose Green New Deal project on Han River, Nakdong River, Geum River and

Yeongsan River.

The Lee government announced the tax reform plan in September, 2008, aimed at

increasing business investment and consumption in high-income bracket, expecting it

leading to a trickle-down effect (Hwang, K-S and Kang, B-I, 2014, p.122). Amending

the Income Tax Act[소득세법], the Corporate Tax Act [법인세법], and the Gross Real

Estate Tax Act [종합부동산세법] in December, 2008, the government gradually lowered

the income tax rates of all income brackets by 2 per cent, increased the deduction

amount per capita of income tax from 1 million won to 1.5 million won (about £ 670 or

$ 870 at the exchange rate of July, 2017), raised the corporate taxable income from 100

million won to 200 million won (about £ 134,200 or $ 174,000 at the exchange rate of

July, 2017), lowered corporate tax from 13 per cent to 10 per cent for those with taxable

income of 200 million won and less and from 25 per cent to 20 per cent for those with

income of more than 200 million won, increased the criterion of the high-grade house

for the real estate transfer tax from 600 million won to 900 million won (about

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£ 603,800 or $ 783,000 at the exchange rate of July, 2017), reduced the upper limit of

imposing the real estate holding tax from 300 per cent of the payment in the previous

year to 150 per cent, and lowered the inheritance and gift tax rate from 10~50 per cent

to 6~33 per cent (The Ministry of Strategy and Finance [기획재정부], 2008).

The Lee administration also gradually lowered interest rates and weakened the Korean

won against the major foreign currencies, such as the US dollar, in order to increase

exports. On average for the five-year period, the government kept the Korean Bank base

rate of 3.25 per cent and decreased the Korean won rate against the US dollar by about

24 per cent compared to the rate of 2007. These interventions not only led to an increase

in exports, which was regarded as a main means of overcoming the global financial

crisis in 2008, but also brought about rises in consumer prices. In this regard, the Lee

administration has been criticised to have fattened business at the expense of the

ordinary people’s lives (Yoo, S-J, 2011). Its business-friendly policies are also found in

the revision of regulations that the business had longed for in addition to corporate tax

cut. In March, 2009, the regulations governing the ceiling on total equity investment [출

자총액제한제도] was abolished by removing Article 10 of the Monopoly Regulation

and Fair Trade Act [독점규제 및 공정거래에 관한 법률] in March, 2009 (Choung, W,

2014, p.104). Separation of industrial and financial capital [금산분리] was also relaxed

through amending the Financial Investment Services and Capital Markets Act [자본시장

과금융투자업에 관한 법률] and the Financial Holding Companies Act [금융지주회사

법] in June and July of the same year, respectively, which allowed non-financial holding

companies to have a financial subsidiary (Cho, Y-H, 2015, p.20).

Along with the financial intervention and the reorganisation of legislation, the Lee

administration pushed forward the Four Major Rivers Restoration Project [4대강살리기

사업] for pump-priming of the economy and job creation. The project was also in line

with labour policy of the government which will be discussed below, in as much as the

Lee administration pursued welfare through work and stressed ‘active labour market’. It

was a Korean New Deal policy in which 22.2 trillion won (about £ 14.92 thousand

million or $ 19.29 billion at the exchange rate of July, 2017) were thrown from

December, 2008 to April, 2014 (The Four Major River Project Investigation &

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Evaluation Committee [4대강사업조사평가위원회], 2014, p.4). Although the opposition

parties, environmental organisations, and religious circles impugned the effectiveness of

the project and public opposition against it was greater than supports5, the Lee

government claimed under the banner of ‘Green Growth’ that 340-thousand new jobs

were expected with the reactivation of the construction market, local economy around

the four major rivers would revive with tourism, and all the benefits would lead to

boosting the national economy (Gil, J-B, 2014, pp.994-995). However, the appraisal of

its environmental effects has been highly controversial, and economic effects are also

ambiguous in as much as the evaluations of the ripple effects on production and

employment vary by research.6

The labour policy that the Lee administration adopted was also characterised by the

combination of neoliberalism and authoritarian state intervention (Cho, H-R, 2013). In

March, 2008, the Lee government proposed three key agenda on labour policy,

‘advanced industrial relationship [노사관계 선진화]’, ‘active labour market [활력있는

노동시장]’, and ‘employee-friendly labour administration [국민을 섬기는 따뜻한 노동

행정]’ (The Ministry of Labor [노동부], 2008). As against the rhetoric, the government’s

top priority was the rearrangement of industrial relations and policies for flexible labour

market. The government made public agencies amend their collective agreement and

counted the revision into agency evaluation, in line with its plan for public agency

advancement [공공기관 선진화 방안] in 2008 which mainly included privatisation,

merger, abolishment, function adjustment, and personnel reduction (The Ministry of

Strategy and Finance [기획재정부], 2012; Cho, H-R, 2013, pp.231-232). This brought

about the reduction in paid leave, the introduction of the annual salary system, and the

contraction of union activity, which led to conflicts between employers and employees

in the public sector (Cho, H-R, 2013, p.232). The Lee government also revised the

Trade Union and Labour Relations Adjustment Act [노동조합 및 노동관계조정법] in

January, 2010 and enforced the provision of banning payment to full-time union

officials, which had been deferred for 13 years, by the new ‘paid time-off’ system which

allowed the union officials’ time-off only for negotiation and consultation between

employers and employees, adjustment of grievance, and safety performance (The

Ministry of Strategy and Finance [기획재정부], 2012, p.214). With the revision of the

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Trade Union Act, the multiple trade union system was also implemented in July, 2011

(The Ministry of Strategy and Finance [기획재정부], 2012, p.215). This system allowed

workers to set up more than one trade union in a single company, but the multiple

unions in a company had to appoint their representative bargaining unit when they

negotiated with their employer. These series of legal changes brought about weakening

trade unions’ activities and restricting bargaining rights of industry-based unions and

minority unions (Cho, H-R, 2013, pp.233-234).

For active labour market policies, the Lee government focused not only on job creation,

but also on the deregulation of employment rules and the flexibility of working hours

under its perception that the barrier of job creation was labour market rigidity. Facing

the sharp fall in employment caused by the 2008 global financial crisis, the Lee

government made a turning point in labour market policy in 2009 through increasing

spending in the government-funded job programme by 93.4 per cent compared to the

previous year and injecting over 13.4 trillion won (about £ 9.04 billion or $ 11.65 billion

at the exchange rate of July, 2017) (Joo, M-H, 2015, p.7). Among the government-

funded programmes which consisted of direct job creation, vocational training,

employment service, employment promotion subsidies, start-up assistance, and income

maintenance for the unemployed (Lee, K-Y, Kang, C-H, Kim, H-W, Kim, H-A, Park, S-

J, Chang, H-I, Lee, H-C and Oh, S-H, 2013, p.1), direct job creation and employment

promotion subsidies were the core government undertakings. In 2009, 3.7 trillion (about

£ 2.5 billion or $ 3.22 billion at the exchange rate of July, 2017) and 2.06 trillion won

(about £ 1.4 billion or $ 1.8 billion at the exchange rate of July, 2017) were spent for

each of the two which was increased by 165.7 per cent and 110 per cent, respectively,

compared to 2008 (Joo, M-H, 2015, p.7). Although the government-funded job

programme was also in line with the government keynote policy of ‘welfare through

work’, its outcome was merely a superficial achievement in employment rate in as much

as jobs created by the programme, particularly through direct job creation, were mostly

temporary, low paid ones. Meanwhile, in July, 2009, the government attempted to

extend the employment contract terms of temporary and agency workers to 3-4 years

(Cho, H-R, 2013, p.235) by revising the Act on the Protection, etc. of Fixed-Term and

Part-Time Workers [기간제 및 단시간근로자 보호 등에 관한 법률] and the Act on the

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Protection, etc. of Temporary Agency Workers [파견근로자보호 등에 관한 법률] under

which workers should be converted into permanent position after the 2-year

employment contract term. But it was frustrated facing resistance from the opposition

party and trade unions who were concerned about mass production of non-regular,

temporary jobs. In October, 2010, the Lee government published the National

Employment Strategy 2020 [국가고용전략 2020]. This included introducing ‘saving

overtime for leave scheme [근로시간저축휴가제]’, expanding ‘flexible work schedule

[탄력적 근로시간제]’, broadening the scope of dispatch-permitted services, promoting

private recruitment agencies, and advising to hire part-time workers in the public sector

(Cho, H-R, 2013). The expansion of dispatch-permitted services and the promotion of

private recruitment agencies were not implemented because of the trade unions’ strong

resistance. However, the ‘saving overtime for leave scheme’ under which workers were

able to use overtime hours worked for leave when needed or to fill the time with

overtime after leave was enforced in July 2011 (Korea Government, 2010; Cho, H-R,

2013, pp.236-237). At the same time, the unit term of the ‘flexible work schedule,’

which allowed a worker to work for over 40 hours in a certain week without overtime

allowance, provided that his average weekly working hours for 3 months were no more

than 40 hours, was extended from 3 months to one year (Korea Government, 2010; Cho,

H-R, 2013, pp.236-237). In May, 2011, the Ministry of Strategy and Finance advised

public agencies to hire part-time workers working less than 40 hours a week over 10 per

cent of new recruits and announced that the hire would be included in agency evaluation

(Korea Government, 2010; Cho, H-R, 2013, pp.236-237).

The Lee government’s third agenda for labour policy, ‘employee-friendly labour

administration,’ was in line with active labour market and included very broad,

comprehensive strategies for expanding flexible labour market (Roh, J-K, 2008, p. 6).

Among the strategies, ‘the reasonable minimum wage’ which referred to the change in

the minimum wage fixing criteria and methods favourable to employers was

incorporated (Roh, J-K, 2008, pp.6-7). This will be further discussed in the next section.

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The Dynamics of Power

Although both governments were under the strong influence of neoliberalism and still

‘played a role as ‘the preserver of social and economic order’ rather than ‘the arbitrator

of mediation’ in industrial relations’ (The Korean Industrial Relations Research

Association [한국노사관계학회], 2011, pp.30-31) as did the previous administrations,

their role as ‘preservers’ differed in degree, and the relations among government,

employers, and employees had a different complexion. As stated in earlier section, the

Roh government sought negotiation and compromise in the tripartite relations through

the Economic and Social Development Commission [노사정위원회], the presidential

advisory body consisting of government, employers’ organisations, employees’

organisations, and political parties. But it faced trade unions’ fierce opposition against

neoliberal policies through a series of massive demonstrations and strikes and

employers’ reservations about the government’s policy orientation which was

particularly based on the government’s anti-business sentiment, along with the

extension of economic structural power. By contrast, the Lee government excluded

labour from the policy process by weakening and distorting the function of the

Economic and Social Development Commission [노사정위원회] and actively and

publicly reflected the demand of employers’ organisations in the policy process and

decision-making (Roh, J-K, 2008). These relations were also displayed in the minimum

wage fixing process. Employers and employees stood off from each other with

relatively balanced power under the government’s endeavour of remaining neutral

during the period of the Roh government, while employers held a dominant position in

the minimum wage fixing process by taking advantage of the Lee government’s pro-

business propensity.

The Roh, Moo-Hyun Administration (2003-2008)

The Roh government’s fundamental principles for industrial relations were

‘communication and compromise based on the law and rules [법과 원칙의 토대 위에

대화와 타협]’ (The Korean Industrial Relations Research Association [한국노사관계학

회], 2011, p.37). However, trade unions maintained militant practices, and their series of

violent collective actions made the government hostile to labour, which led to the

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suspension of the Economic and Social Development Commission [노사정위원회]

between April, 2004 and June, 2006 (Roh, J-K, 2006). Employers ostensibly cooperated

in the government’s institutional provision for enhanced industrial relations by

participating in the tripartite commission but, in practice, adhered to the established

strategy to neutralise unions or preclude organising unions (The Korean Industrial

Relations Research Association [한국노사관계학회], 2011, p.36). Despite employees’

and employers’ non-cooperation, the government did not completely abandon its initial

principle for industrial relations and resumed the Economic and Social Development

Commission [노사정위원회] in June, 2006, although the Korean Confederation of Trade

Unions (KCTU, [민주노총]) among the two umbrella labour organisations in Korea was

excluded from the Commission (Roh, J-K, 2006). Based on the analysis of The National

Minimum Wage for the Year of OOOO: The Details of Deliberation and Decision

[OOOO년도 적용 최저임금 심의·결정경위], the Minimum Wage Council’s annual

report on minimum wage fixing process, the government’s reformist intent, employees’

militant behaviour, and employers’ reserved manner made for a tight dynamic of power

among the tripartite members in the minimum wage fixing and its system reform

process, which, as a result, led to higher increases in the minimum wage and the mutual

consent based on the fixing criteria under the law rather than through conventional

bargaining.

The government tried to reinforce its role as a substantial arbitrator in the minimum

wage fixing process to induce a rate and the system improvement under mutual

agreement. It diversified the composition of human resources among the public interest

members of the Minimum Wage Commission. Since the public interest members are

appointed by the President based on the Minister of Labour’s recommendation, they are

likely to represent the government’s interest. Before the Roh government, all of the

public interest members consisted only of experts in economics and business

administration, a few academics in law, researchers in government-funded institutions,

and permanent members of the Minimum Wage Council, an affiliated organisation of

the Ministry of Labour. An expert in the social field was included for the first time

during the Kim, Dae-Jung government, the former progressive administration between

1998 and 2003. This implies that the minimum wage had been fixed based on

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government interest in economic and business developments. Unlike the previous

governments’ practice, the Roh government not only enlarged the composition of

academics in other disciplines than economics and business, such as sociology and

social welfare, but also included the leader of a women’s rights group. This suggests

that the Roh government intended to include various public interests besides

government’s inclination and economic consideration in the minimum wage fixing

process. Furthermore, the fact that two among the nine public interest members walked

out and presented waivers in the first fixing decision under the Roh government when

the chairperson announced by authority a vote on two very different rates demanded by

representatives of employers and employees (The National Minimum Wage for the Year

of September 2003 to August 2004, p.7) serves as counterevidence of the government’s

neutral intervention in the minimum wage fixing process for social cohesion through

conversation and compromise. The point that the public interest members did not cast

all their votes for a rate proposed either by employer members or by employee members

in the following year also shows that they were not guided by the government in terms

of fixing a minimum wage rate. From 2005, the public interest members enlarged their

independent role in the fixing process, from exercising the casting vote to actively

offering a range of negotiable rates with consideration for the statutory minimum wage

fixing criteria, in order to reconcile the differences within their members and mediate

between employer and employee representatives.

The Roh government’s neutral stance in the minimum wage fixing process does not

mean that it never influenced the policy process nor presented its interest regarding the

minimum wage. The diversification in the composition of human resources among the

public interest members prompted the Minimum Wage Commission’s commitment to

the improvement of various issues in the minimum wage fixing process by increasing

the activities of committees inside and outside the Commission. As the Commission

decided in 2005 to ratify the suggestion made in the plenary session after a review by

the research committee, in response to the employee members’ demand to set up a new

committee for improving the minimum wage system (The National Minimum Wage for

the Year of September 2005 to December 2006, p.5), the function of the research

committee to aid the Commission’s deliberation became more active and wider. The

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members of the research committee are not the members of the representative groups in

the Commission but researchers from business organisations, labour bodies, and labour-

related research institutes who were appointed by the Minimum Wage Council. The

research committee mainly looked over the feasibility of the minimum wage by industry

and reviewed the annual study of living costs published by the executive office of the

Minimum Wage Council before the start of a deliberation period. However, as the

necessity of the discussion on the minimum wage system improvement was issued by

employee members and agreed by other members of the Commission, the research

committee held meetings more frequently and gained more standing to identify the

problems of statistical data for the minimum wage fixing criteria, including living costs,

employees’ wage level, labour productivity, and income distribution, provide

alternatives, and study about diverse matters addressed by government as well as by

each representative group in the Minimum Wage Commission. The operating committee

within the Commission also expanded its role in the fixing process and actively

mediated between employer and employee members, aiming at inducing them to reach a

mutual agreement. The operating committee comprises the chairperson of the

Commission and two members from each representative group who are the most

influential in each group. Until early in the Roh government, the committee had

typically held a meeting once right before the start of deliberation to negotiate schedule

and adjust agenda for discussion. From 2006, the operating committee instantly held a

meeting whenever the conflict between employer and employee members increased due

to either side’s refusal of concessions for consultation in the plenary session and tried to

reduce the gap in rates demanded by employer and employee groups and to prevent the

worst scenario of either side’s walkout or resignation before the decision, which had

often occurred.

On the government’s neutral stance in the minimum wage fixing process, the

competition in the process during the five-year period can be summarised as employees’

persistently strong stance for higher rates and the system improvement and employers’

reluctant response in negotiation and compromise with a suspicion of the government’s

‘business-oppressed’ position. Employee representative members consistently made a

strong demand for an over-35 per cent increase in minimum wages, except in the last

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year of the government, claiming that a rate should be at least the 50 per cent level of

employees’ average wage (The sections of Employee Representatives’ Proposal in The

National Minimum Wage for the Year of September 2003 to August 2004, of September

2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008). By

contrast, employer members made an initial suggestion of an increase in the rate of

between 2.4 per cent and 3.5 per cent, on the grounds of the growth rate of labour

productivity or the optimal rate of wage increase which was calculated by subtracting

the rate of increase in employment from the real GDP growth rate plus the rate of

increase in consumer price (The sections of Employer Representatives’ Proposal in The

National Minimum Wage for the Year of September 2003 to August 2004, of September

2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008). At

the same time, employer representatives resolutely warned about the risks relating to

structural power, including dismissal, reduction in new hire, emigration of labour-

intensive firms, financial difficulties of small and medium-sized business which

employed over 80 per cent of the labour force, in particular of export firms suffering

from high prices of oil and raw materials, unstable exchange rates, and the fixation of

low growth (The sections of Employer Representatives’ Proposal in The National

Minimum Wage for the Year of September 2003 to August 2004, of September 2004 to

August 2005, of September 2005 to December 2006, of 2007, and of 2008). Such

position of employer members in the fixing process during this period can be

understood as their defensive reaction to the ‘business-unfriendly’ government, in as

much as they firmly claimed to freeze the minimum wage rate in the last year of the

Roh government with no further argument (The section of Employer Representatives’

Proposal in The National Minimum Wage for the Year of 2008).

Employer and employee members opposed each other, especially with regard to the

fixing criteria. Employees stressed that the reference average wage should be the mean

wage which was calculated on the basis of the fixed monthly salary (basic monthly

salary plus fixed monthly allowances) among full-time workers in firms with five

employees and more, rather than the median, because the median much less than the

mean would not improve the big gap in wage and income between regular and non-

regular employees (The sections of Employee Representatives’ Proposal in The

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National Minimum Wage for the Year of September 2003 to August 2004, of September

2004 to August 2005, of September 2005 to December 2006, of 2007, and of 2008).

Employers stuck to the average labour productivity for three years among low-paying

firms with low ability to pay, arguing that the minimum wage already reached the level

of over 50 per cent of all employees’ wages when allowances other than the fixed

monthly salary were included in calculation, which should be taken into account

because of the unique Korean wage system (The sections of Employer Representatives’

Proposal in The National Minimum Wage for the Year of September 2003 to August

2004, of September 2004 to August 2005, of September 2005 to December 2006, of

2007, and of 2008). The different focus between employer and employee groups with

regard to the fixing criteria led to tendentious conflict in the fixing process. In 2003 and

2005, employee members walked out of a Commission’s plenary session, presented

waivers, and boycotted voting for fixing a minimum wage rate (The National Minimum

Wage for the Year of September 2003 to August 2004, pp.7-8, and of September 2005 to

December 2006, p.7). Specifically in 2003, the two umbrella labour organisations, the

Korean Confederation of Trade Unions (KCTU) and the Federation of Korea Trade

Unions (FKTU) raised objections on points of procedure and urged reconsideration of

the rate fixed after the Minister of Labour’s official announcement of the new rate (The

National Minimum Wage for the Year of September 2003 to August 2004, pp.13-14).

However, as the government added the income distribution ratio as a statutory fixing

criterion in the Minimum Wage Act amended in May 2005, this brought about the

revision of indices for the fixing criteria, stressing the improvement of workers’ life.

The Minimum Wage Commission realigned the indices for each fixing criterion on the

ground of research from 2005 and aimed at relieving the wage gap by achieving 50 per

cent of the median wage in phase from 2006 (The National Minimum Wage for the Year

of 2007, p.47). The Commission urged employer and employee members to use the

indices for fixing criteria in their revised rate demands. It seems that the changes in the

Commission had an effect, to a degree, in as much as the final rates of increase

suggested by employer and employee members were very close in 2006 and identical in

2007. Nonetheless, the tension with regard to fixing a minimum wage rate persisted

until the end of the Roh government. In 2006, employer members proposed a rate which

was close to employee members’ one, but they opposed the 0.29 per cent higher rate

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which the public interest members finally suggested in order to induce a mutual

agreement between employer and employee members (The National Minimum Wage for

the Year of 2007, p.12). In 2007, employers claimed to freeze the minimum wage rate

for the first time during the Roh government as mentioned earlier (The National

Minimum Wage for the Year of 2008, p.192).

The improvement of the minimum wage system was another arena of conflict between

government, employer representative members, and their employee counterparts. In

response to the employee representatives’ suggestion in 2003, the Minimum Wage

Commission set up a committee for system improvement within the Commission in

2004 (The National Minimum Wage for the Year of September 2004 to August 2005,

p.5). However, it was agreed in the following year that the Minimum Wage Commission

would ratify the recommendations that the research committee made based on their

review and study of issues addressed as regard system improvement (The National

Minimum Wage for the Year of September 2005 to December 2006, p.5). Many issues

were addressed in the Minimum Wage Commission. The preservation of wage cuts by

the reduction of statutory working hours7, the curtailed rate for surveillance and

intermittent work, the curtailed rate for older employees, the inclusion scope of taxi

derivers’ salary items in calculating the minimum wage, and the issue of janitorial and

security service contracts in the public sector were the issues which were given

particular attention to and related to older workers. Employee members argued that a

monthly minimum wage rate, as well as an hourly one, should be notified until the

reduction of statutory working hours was applied to all firms and compelled in order to

prevent the benefits of an increase in the minimum wage from being reduced due to the

reduction of working hours (The National Minimum Wage for the Year of 2007, p. 24,

p.98). They also claimed that among taxi drivers’ salary items, the remainder that taxi

drivers had after paying the required amount of their daily earnings to their company

should not be included in calculation in the minimum wage (The National Minimum

Wage for the Year of September 2005 to December 2006, p.30; The National Minimum

Wage for the Year of 2007, pp. 23-24, p.99) and that the janitor and security service

contracts in the public sector should be enhanced for contract employees so that they

may benefit from a new minimum wage (The National Minimum Wage for the Year of

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September 2005 to December 2006, p.31). Except for the issue of the public sector,

which was chosen as recommendations to the government in 2006, employers sharply

opposed the employees’ arguments. They contended that the amended Labour Standard

Act had the appropriate measure to prevent wage cuts caused by the reduction of

statutory weekly working hours and employees’ suggestion of compulsory compliance

with both monthly and hourly rates would bring about huge increases in labour costs

(The National Minimum Wage for the Year of 2007, p.24, p.41). They also argued that a

variety of allowances that taxi drivers were regularly paid should be included in

calculation in the minimum wage because those took a large portion of the pay due to

the unique wage composition of taxi drivers (The National Minimum Wage for the Year

of 2007, p.22). Although employer and employee members agreed to choose the issue

regarding the taxi drivers’ pay for recommendations to the government in 2006, they

only demanded a broad enhancement in calculation mode of the minimum wage among

taxi drivers, without a mutual consent on a specific opinion.

Meanwhile, the Minimum Wage Act amended in May 2005 applied the curtailed

minimum wage rate from January 2007 to surveillance or intermittent work in which

workers had been exempt from the minimum wage due to their exclusion from the

application of the Labour Standard Act under Article 63, Clause 3 of the Act, as

mentioned in Chapter Six. Employers instantly expressed their concern that it would

bring about mass discharge among employees engaged in those jobs, especially older

workers since the majority in those jobs were workers aged 55 and older (The National

Minimum Wage for the Year of September 2005 to December 2006, pp.40-47). It seems

that the government paid most attention to the employers’ concerns, along with the rapid

population ageing, in as much as the executive office of the Minimum Wage Council

asked the Minimum Wage Commission to discuss about the feasibility of a curtailed

minimum wage rate to older workers in 2006 (The National Minimum Wage for the Year

of 2007, pp.22-23). While employers welcomed this, claiming that a 30 per cent

curtailed subminimum would help stable employment among older workers, employees

opposed a subminimum rate to older workers but suggested the provision to support

firms hiring older workers (The National Minimum Wage for the Year of 2008, p.40).

After conducting a study about older workers and obtaining legal advice, the discussion

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on the issue was developed into seeking a measure to help firms hiring older workers,

despite employers’ persistent support for a curtailed rate to older workers, mainly

because it was advised by the Ministry of Labour that a subminimum for older workers

would violate the Act on Prohibition of Age Discrimination in Employment and Elderly

Employment Promotion [고용상 연령차별금지 및 고령자고용촉진에 관한 법률].

The Lee, Myung-Bak Administration (2008-2013)

As implied in its principle for industrial relations, ‘labour-management relations base on

the law and rules [법과 원칙의 노사관계]’ (The Korean Industrial Relations Research

Association [한국노사관계학회], 2011, p.37), the Lee government foreclosed

‘communication and compromise’ with labour in the policy process, and instead, urged

labour-management cooperation at the business level by the rule of law (Roh, J-K,

2008, p.2). The weakened function of the Economic Social Development Commission

[노사정위원회] during the Lee government demonstrates the point. Although the

Commission was not abolished despite the Lee administration’s downscaling or

abolishing of the established commissions within government, its role was diminished

and distorted from formulating fundamental labour policies through the production of

various agenda to discussing issues limited to the legislation and amendment of laws

and regulations and legitimising the government-led labour policies (Roh, J-K, 2008,

p.10). Trade unions were against the Lee government’s business-centred policy

orientation, but the fact that the government took office with overwhelming support

from the public in both of the presidential election in 2007 and the general election in

2008, while the Labour Party having supported the trade unions suffered heavy losses in

the general election and intraparty factionalism, weakened the trade unions’ labour

disputes (Roh, J-K, 2008, p.4). On the other hand, employers played a leading role in

the reform of labour regulations. Immediately after the Lee government took office in

2008, five business organisations, including the Federation of the Korean Industries

(FKI) [전국경제인연합회] and the Korea Chamber of Commerce and Industry (KCCI)

[대한상공회의소], submitted a report which recommended reforms in 267 business-

related regulations to the Ministry of Knowledge Economy [지식경제부] (Roh, J-K,

2008, p.2). Their proposal was later developed into ‘the Policy Plan for Advanced

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Labour Market’ by the Ministry of Knowledge Economy and initiated by the Ministry

of Labour (Roh, J-K, 2008, p.2). This dynamic between government, employers, and

employees was reflected in the minimum wage fixing process. Although each

committee inside and outside the Minimum Wage Commission functioned and the

procedures of fixing a minimum wage rate and revising the system were executed as

realigned during the previous five years, the Lee government increased its leverage to a

limited extent in the minimum wage fixing process. Employers persistently pushed their

strong claims under the pro-business administration, whereas employees maintained

consultation and compromise in a relative sense for the first two years but displayed

militant approaches from the third year of the Lee government, such as interruption to

voting on fixing a rate and nonparticipation in the Commission for the last two years.

The Lee government heralded its intentions in minimum wage policy by replacing

academics in the social field with experts in economics and business and researchers in

government-funded organisations among the public interest members. As all of the

public interest members finished their three-year service in April 2009, the Lee

government appointed six academics in business administrations, economics, and

consumer science, one expert in a government-funded organisation, one permanent

member of the Minimum Wage Council, and one professor in social welfare to the

public interest representatives in the Minimum Wage Commission (The National

Minimum Wage for the Year of 2010, p.81). In 2012, at the appointed time to replace the

representative members in the Commission, the Lee government filled the public

interest group with five academics in business administration, economics, and consumer

science, three researchers in the government-fund institutes, and one permanent member

of the Minimum Wage Council (The National Minimum Wage for the Year of 2013,

p.63). The transformed composition of the public interest members, who were appointed

by the President based on the Minister of Labour’s recommendation, implies that the

government focused on ‘contributing to the sound development of the national

economy’ more than ‘to stabilise workers’ life and to improve the quality of the labour

force’ as the purpose of the minimum wage.8

237

Such point is more clearly displayed in the range of growth rates of the minimum wage

which the public interest representatives initially suggested during the five years for

mediating between employer and employee members and the reference criteria which

they used for the range. They suggested 4.1 per cent to 8.9 per cent in 2008, 0.4 per cent

to 4.6 per cent in 2009, 4 per cent to 6.1 per cent in 2010, 2.9 per cent to10.9 per cent in

2011, and 2.6 per cent to 10.5 per cent in 2012 (The National Minimum Wage for the

Year of 2009, p.81, of 2010, p.22, of 2011, p.20, of 2012, p.24, of 2013, p.17). These

ranges are distinctively lower than the ones suggested in the period of the Roh

government, which were 7.5 per cent to13.5 per cent in 2005, 10.6 per cent to 13.1 per

cent in 2006, and 5.3 per cent to 11.2 per cent in 2007 (The National Minimum Wage for

the Year of September 2005 to December 2006, p.5, of 2007, p.30, and of 2008, p.49).

The lowered range of growth rates of the minimum wage resulted from different

reference indices for fixing criteria applied. The public interest members during the Lee

government produced the range based mainly on economic growth rates, the rate of

increase in consumer prices, and the rate of increase in bargained wage in fixed monthly

salary or in total monthly pay (The National Minimum Wage for the Year of 2009, p.81,

of 2010, p.22, of 2011, p.20, of 2013, p.19). This is in contrast to the fact that the

optimal rate of wage increase ((the real GDP + the rate of increase in consumer price) –

the rate of increase in employment), the surplus in the living costs among employees

compared to the rate of increase in consumer prices, and the award for relieving three-

or five-year wage gap were considered for the range of growth rates of the minimum

wage by the public interest members during the Roh government (The National

Minimum Wage for the Year of 2007, p.30, of 2008, p.49). Although the public interest

members in the Lee government took account of the award for improving the wage gap

in 2008, no reference index for the 0.6 percentage point applied was clarified (The

National Minimum Wage for the Year of 2009, p.81), which was much lower compared

to the 3.7 percentage points or 6.7 percentage points applied in the previous years (The

National Minimum Wage for the Year of 2007, p.30, of 2008, p.49). From 2009, the

public interest members did not consider an index regarding wage gap for the range of

growth rates of the minimum wage, and in 2011, they did not clarify any reference

index for their suggested range.

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Employer representative members took a hard-line stance in the minimum wage fixing

process all through the Lee administration. They demanded cutbacks in the minimum

wage rate by 5.8 percentage point in 2009 (The National Minimum Wage for the Year of

2010, p.215) as well as freezing the rates in other four years during the five-year period

(The National Minimum Wage for the Year of 2009, p.222, of 2011, p.105, of 2012, p.95,

of 2013, p.79). As the basis of their demands, it was argued that the minimum wage

increase exceeded labour productivity, which aggravated labour costs in small

businesses, and its level already reached over 50 per cent of the median fixed monthly

salary among full-time employees in firms with one and more workers, being much

higher than the minimum cost of living defined by the National Basic Living Security

Act [국민기초생활보장법] (The sections of Employer Representatives’ Proposal in The

National Minimum Wage for the Year of 2009-2013). Sticking to their claims, employer

members increased the growth rate of the minimum wage mostly by less than 1 per cent

in the revision from their initial rate demands until the public interest members

suggested a range of growth rates (The National Minimum Wage for the Year of 2009,

p.81, of 2010, pp.95-96, of 2011, pp.131-132, of 2012, p.124, of 2013, p.106).

Moreover, some of the employer members in 2008 and all of the members in 2010 and

in 2012 abstained from voting and walked out of the plenary session in opposition to the

final rates suggested for vote by the public interest members (The National Minimum

Wage for the Year of 2009, p.22, of 2011, p.128, of 2013, p.104).

Compared to employer members, employee representatives took a relatively moderate

position in the minimum wage fixing process for the first two years of the Lee

government. Employee members demanded a 26.3 per cent increase in the minimum

wage in 2008 and a 28.7 per cent increase in 2009, which were about 10 per cent less

than the rates of increase demanded by employee members during the Roh government

but based on the same criteria as before, 50 per cent of the mean of fixed monthly

salaries among full-time employees in firms with five and more workers (The National

Minimum Wage for the Year of 2009, p.193, of 2010, p.205). Although they resisted the

employer representatives’ small revision of rate demands by walking out of a plenary

session for discussion in 2008 (The National Minimum Wage for the Year of 2009,

pp.20-21), employee members largely reduced their demands for a high rate of increase

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and agreed with members in other two representative groups to the rate finally

suggested by the public interest members in 2008 and 2009 (The National Minimum

Wage for the Year of 2009, p.81, of 2010, p.65). But, employee members radically

changed their stance from 2010, having a grievance against employer members’

repeated demand to freeze the minimum wage rate and refusal to revise it, the low rates

of increase suggested by public interest members, and the appointment procedure and

composition of public interest representatives. In 2010, employee members staged a

rally by taking over a conference room in the Minimum Wage Council after employer

members announced the initial demand to freeze the minimum wage rate. Although they

participated in vote at the final plenary session of the Minimum Wage Commission,

employee members continued the strike as employer members refused to revise their

demand (The National Minimum Wage for the Year of 2011, pp.12-21). In 2011, three

employee members from the Federation of Korea Trade Unions presented waivers and

walked out, opposing the range of growth rates suggested by public interest members,

and four members from the Korean Confederation of Trade Unions restrained

representative members in other groups from voting in the final plenary session as well

as refused themselves to vote (The National Minimum Wage for the Year of 2012, pp.25-

31). During the demonstration, employee members demanded the resignation of the

chairperson in the Minimum Wage Commission and a debate on the organisational

structure and operation of the Commission. In 2012 when all of the public interest

members were replaced due to the termination of their office, employee members

addressed the method of appointing public interest members but faced a negative

response from a director general from the Minister of Labour (The National Minimum

Wage for the Year of 2013, p.6). This led to employee members’ nonparticipation in the

Commission until the end of the deliberation period in the year, except the first plenary

meeting (The National Minimum Wage for the Year of 2013, p.104).

As the competition between employer and employee members was intense in fixing a

rate of increase in the minimum wage itself, and the Minimum Wage Commission was

limping along on employer and employee members’ walkouts and boycotts of

discussion and votes during the Lee government, fixing criteria and the agenda for

improving the minimum wage system were rarely discussed within the Commission in

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practice during this period. For the first two years of the Lee government, employer and

employee members’ demands on the modification of reference statistical data, on which

a variety of indices for the four statutory fixing criteria and the influence rate of a

minimum wage were produced, the issues of salary items included in calculation of the

minimum wage, particularly among taxi drivers, the application of reduced minimum

wage rate to older workers, and the expansion of regulations on the prime contractor’s

responsibility for employees from subcontractors to be paid at least a minimum wage

rate were discussed through a forum and a workshop held after the deliberation period

as well as in the Commission’s plenary session (The National Minimum Wage for the

Year of 2009, pp.15-16, pp.235-245, of 2010, p.12, pp.232-246). With the help of the

research committee’s review and research before and after the deliberation (The

National Minimum Wage for the Year of 2009, pp.45-75, of 2010, pp.49-60), the

representative groups were not sharply against each other with regard to the issues

addressed. They agreed to make recommendations to government, such as tightening

inspection and oversight of noncompliance, improving janitorial service contract in

public sector, supporting small businesses with tax relief, and realigning employment

and wage-related statistical data in these two years (The National Minimum Wage for

the Year of 2009, p.96, of 2010, pp.99-121). But, in 2010, only employer and employee

representatives’ claims relating to reference statistical data for the fixing criteria and the

influence rate of the minimum wage, which was included in their report submitted to the

Minimum Wage Council at the beginning of the deliberation period, were in priority

discussed in the research committee that had no authority to make decisions (The

National Minimum Wage for the Year of 2011, pp.42-69). Although the recommendation

to government was made in 2011, it was not through discussion and consultation

between the tripartite representative groups in the Commission. Instead, there was an

agreement that the research committee reviewed the employer and employee groups’

demands presented in their reports and then the operating committee chose the final

issue for recommendation to government, under the pressure of the time limit in

deliberation period caused by fierce confrontation between employer and employee

members on the rate of increase in the minimum wage (The National Minimum Wage

for the Year of 2012, p.31). Further, as employee members did not attend the

Commission in 2012, except for the first plenary session, no issue, other than the

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method of appointing public interest members that employee members addressed in the

first plenary session, was dealt with for the deliberation period of the year.

Implicit Characteristics of Minimum Wages

The dynamics of power between government, employees, and employers presented in

the minimum wage fixing process shows the course that each administration followed to

reach its own aims with regard to the minimum wage. As the Roh government pursued

‘the minimum wage at a realistic level’ whereas the Lee government sought ‘the

reasonable minimum wage,’ as mentioned in the earlier section of government policy

orientation, the minimum wage increased at high rates during the Roh government but

at low rates for the Lee government period. However, more important is that the course

of the dynamics between government, employers, and employees presented in the

minimum wage fixing process implies distinctive characteristics of the minimum wage

in each government period, which led to different sets of economic effects of the

minimum wage.

The Roh, Moo-Hyun Administration (2003-2008)

The minimum wage increased at higher rates during the Roh government is

characterised as the preservation of low paid workers’ monthly pay which was curtailed

by the reduction of the statutory working hours. As stated earlier, the statutory working

hours were shortened in phase from 44 hours per week to 40 hours per week since July

2004 by the revision of the Labour Standards Act in August 2003. The preservation of

low paid workers’ monthly pay on top of an increase in the minimum wage was one of

the most controversial issues in the Minimum Wage Commission during the period of

the Roh government. Employee representative members argued that a minimum wage

should be released in monthly rates for both 44 and 40 weekly working hours (226 and

209 monthly working hours, respectively) as well as in an hourly rate so that the

monthly salary among low paid employees in firms to which reduced weekly working

hours were applied should be preserved based on a new rate of increase in the minimum

wage (The National Minimum Wage for the Year of September 2004 to August 2005,

p.29, of 2007, p.98, of 2008, p.145). They provided an example that a minimum wage

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worker in firms with 44 working hours per week was paid a 9.2 per cent higher monthly

salary in 2006, compared to in 2005, whereas a counterpart in firms with 40 working

hours per week received only 0.9 per cent higher monthly pay, based on the hourly

minimum wage rate of 2006 (The National Minimum Wage for the Year of 2007, p.98).

But, this demand was not agreed in the Minimum Wage Commission because it faced

determined opposition from employer representative members who claimed that the

amended Labour Standard Act contained sufficient provisions for the preservation of

possible cut in workers’ pay caused by the reduced statutory weekly working hours, as

shown in the earlier section on the dynamics of power. As a result, low paid employees

in firms which implemented a 40-hour week were likely to benefit significantly less

from an increase in the minimum wage, despite its high growth rates during the period.

Instead, the monthly salary paid to minimum wage employees in firms implementing a

40-hour week was likely to be preserved at the previous level of monthly pay for 44

hours through a high rate of increase in the minimum wage. The interview research on

janitorial service contract firms, which was conducted by the Minimum Wage Council

in May 2006 to investigate the influence of the reduction in statutory working hours and

the minimum wage, shows the point. Fifty per cent of establishments responded that

they increased rest time and decreased fixed working hours, although the real working

hours was the same as before, so that their payroll costs were not changed (The National

Minimum Wage for the Year of 2007, p.127). This practice to preserve monthly pay at

the previous level through a high increase in the minimum wage seems to have been

prevalently employed in a variety of low-paying service sectors, in as much as adjusting

working hours through increasing the intensity of labour is relatively flexible in those

sectors. Compared to service industries, the sectors in which task attributes did not

allow employers either to increase rest time or to decrease the real working hours, such

as manufacturing, tended to increase overtime after the reduction in the statutory

working hours. According to the Minimum Wage Council’s annual visiting research in

2007, three manufacturing firms among six multiple industry respondents answered that

they increased overtime along with the introduction of 40 weekly working hours

because the legal working hours were shortened (The National Minimum Wage for the

Year of 2008, p.110, p.117, p.123). Similarly, a survey of firms’ responses to the

introduction of the reduction in the statutory working hours, which was conducted by

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the Korea Employers’ Federation in 2006, showed that the real working hours rarely

changed in 56.7 per cent of respondent manufacturing firms while it decreased a little in

41.9 per cent of them (The Korea Employers' Federation [한국경영자총협회], 2006,

p.157). Also, 38.0 per cent of respondent non-manufacturing firms did not changed in

the real working hours, whereas 58.0 per cent reduced the hours (The Korea Employers'

Federation [한국경영자총협회], 2006, p.157). The Korea Employers’ Federation made

an interpretation of the results that firms in manufacturing sector were more likely to

increase overtime along with the reduction in the statutory working hours, due to their

relatively heavy workload compared to the firms in non-manufacturing sectors (The

Korea Employers' Federation [한국경영자총협회], 2006, p.157). Obviously, low paid

workers in firms which increased overtime were likely to benefit more significantly

from the higher increase in the minimum wage, despite the function of a minimum wage

preserving the previous monthly salary, because of the increased overtime rate resulted

from a high growth rate of the minimum wage as well as due to the maintenance of

working hours through overtime.

This peculiarity of the minimum wage during the Roh government explains

considerably the effects of the minimum wage on the distributions of wages and family

earnings and on employment among older employees for the first five-year periods

presented in Chapter Seven. Recollecting the fact in Chapter Six that a large portion of

older workers aged between 55 and 79 were hired in the low-paying service sectors, the

role of a minimum wage to preserve monthly pay at its level in 44 weekly working

hours partly explains the insignificant disemployment effect of the minimum wage for

older workers during this period. Since the role restrained wage increases among a large

proportion of low paid older workers, especially engaged in service sectors, the labour

costs of employers hiring them were not so significantly affected as to reduce

employment. Nonetheless, the facts that some employers who implemented a 40-hour

week were likely to raise wages in need of the maintenance of working hours through

overtime and that the curtailed statutory working hours were not yet applied to firms

with less than 20 employees for this period support the small but significant effects of

the minimum wage on the wage distribution among older employees. In parentheses,

the practice of employers’ wage differential between employees with different skills or

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years of service explains the spillovers in the wage distribution among older employees.

According to the annual visiting research conducted by the Minimum Wage Council,

three out of six respondent employers answered that they increased wage rates for

employees paid over a minimum wage at the growth rate of a minimum wage or more

in 2006, and five out of six employers responded that they raised wage rates for workers

paid over a minimum wage for wage differential between employees with different

skills or years of service in 2007 (The National Minimum Wage for the Year of 2007,

p.69, p.74, p.78, of 2008, p.100, p.110, p.116, p.123, p.129). However, the role of the

minimum wage to preserve monthly pay for this period seems to bring about

insignificant effects on the distribution of family earnings of older employees and on

their exits from in-work poverty. Considering the fact that firms with less than 20

employees comprised 96.8 per cent of all establishments and hired 54.2 per cent of all

employees in 2006 (The Korean Statistical Information Service (KOSIS) [국가통계포

털], 2006), roughly 50 per cent of employees’ monthly pay remained at a previous level

due to the curtailed statutory working hours for this period, and this suggest that their

family earnings rarely increased without a new hire among their family members.

Accordingly, the increases in hourly wages for the other half by the high increases in the

minimum wage may not sufficiently enhance the rate of increase in annual family

earnings among the whole employees. This also provides a clue to the insignificant

minimum wage effect on exits from in-work poverty, in as much as the main income

source of households in in-work poverty would be family members’ earnings.

The exemption from the minimum wage of and the subminimum wage for surveillance

or intermittent work introduced in 2007 is another critical factor explaining the results

of the minimum wage effects for older employees, in particular, of a large proportion of

those paid below the minimum wage. The majority of those engaged in surveillance or

intermittent work are older workers aged 55 and over who are typically working as

building managers or caretakers. According to the analysis of those engaged in

surveillance or intermittent work, which was conducted by the Korean Contingent

Workers’ Centre [한국비정규노동센터] (2004, p.61), using the Wage Structure Survey

[임금구조기본통계조사] for the year of 2002, 69.1 per cent of those engaged in

surveillance or intermittent work was building managers or caretakers, and 70.9 per cent

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of building managers or caretakers was those aged 55 and older. The study also found

that 97.5 per cent of building managers and caretakers was paid less than a minimum

wage, on average, at the rate of 75.0 per cent of the minimum wage, less than 2.5 per

cent of employees engaged in other types of surveillance or intermittent work was paid,

on average, between 80 per cent and 92 per cent of the minimum wage, and older

workers aged 55 and over were roughly from two times to four times more likely to be

paid below the minimum wage than younger workers in surveillance or intermittent

work (The Korean Contingent Workers' Center [한국비정규노동센터], 2004, pp.69-70).

The fact that older workers were more often paid less than the minimum wage than

younger workers in surveillance or intermittent work implies that paying less to older

workers was likely to be widespread in other low-paying service or elementary work in

which older workers were largely engaged. In this regard, the exemption of those

engaged in surveillance or intermittent work from the minimum wage until 2006 can be

thought to have functioned virtually as the exemption of older employees from the

minimum wage. The fact that the executive office of the Minimum Wage Council

addressed the feasibility of a subminimum for older workers in response to employer

representatives’ concern as regards the implementation of the subminimum for

surveillance or intermittent work shows the point. Further, the subminimum for

surveillance or intermittent work did not have the capacity to push the part below the

minimum wage towards the right in the distribution of wages among older employees

when it was introduced. It was fixed as 70 per cent of the normal minimum wage rate in

2007, which was lower than 75 per cent, the average wage of those engaged in

surveillance or intermittent work before its implementation. Only in 2008 did the

subminimum have the potential to raise the wages of those who had been practically

exempted from the minimum wage above the wage level practiced in the exemption. It

increased to 80 per cent of the normal minimum wage rate, and, this, as a result, brought

about a 6.2 per cent higher rise in the subminimum than the rate of increase in the

normal minimum wage rate, even if the curtailed statutory weekly working hours were

applied. These points imply that the ambiguous change in the lowest wage bracket

resulted from employers’ wage practices for their low paid older employees based on

the exemption from the minimum wage but responding to the high rate of increase in

the minimum wage in consideration of employees’ pay cut by the curtailed statutory

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working hours. The insignificant effect on exits from in-work poverty can be also

understood as an outcome that the practical exemption of older workers from the

minimum wage during this period prevented those paid less than the minimum wage

from obtaining it and deprived older employees’ households in poverty of the chance to

break out of it.

Along with the exemption of those engaged in surveillance or intermittent work from

the minimum wage and the subminimum for them, noncompliance with the minimum

wage is the major reason that older workers were paid below the minimum wage. The

minimum wage has become known to the public since the mid-2000s as the number of

non-regular workers sharply increased with the dramatic change in economic conditions

and labour market. Even some employers as well as employees and the public did not

know about the minimum wage during the Roh government period. In the Minimum

Wage Commission’s visiting survey in 2007, two out of six employers responded that

they only knew the minimum wage rate or were not interested in the minimum wage,

and two of six employees answered that they did not know about it at all or knew only

the then rate (The National Minimum Wage for the Year of 2008, p.100, p.105, p.130).

The violation of the minimum wage was not an object of crackdown and penalty but an

object of inspection and advice, according to the descriptions in a brief report on actions

taken by a branch office of the Ministry of Labour which was provided in the Minimum

Wage Commission in 2007 (The National Minimum Wage for the Year of 2008, pp.137-

139). Further, the inspection and advice were typically concentrated on small businesses

hiring youths and foreign workers, given the fact that the report provided by a branch

office of the Ministry of Labour specified those as vulnerable workers (The National

Minimum Wage for the Year of 2008, p.137). This implies that older workers were not

widely recognised as a group to be protected by the minimum wage during this period.

The results of an opinion survey on the subminimum for older workers conducted in the

Minimum Wage Commission’s annual visiting research in 2007 support this contention.

The majority of the respondent employers answered that a subminimum for older

workers would be reasonable in terms of their relatively low productivity and helpful

for their employment (The National Minimum Wage for the Year of 2008, pp.95-96).

This perception of older workers seems to be internalised in older workers, themselves.

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Although limited, a premise of discussion in the Conference for the 20th Anniversary of

the National Minimum Wage in 2006 and the responses of employees interviewed in the

Minimum Wage Commission’s field investigations reflect this point. The report of the

conference which was attached to the Minimum Wage Council’s annual report for the

year of 2007 stated:

While a large number of older workers want to work paid even below the

minimum wage, employers are unwilling to hire them; in this regard,

measures to apply the minimum wage flexibly are needed to be sought for the

improvement of employment opportunity among older workers. (The National

Minimum Wage for the Year of 2007, p.137)

In the same vein, an employee aged over 55 who worked at a men’s clothing

manufacturing firm said:

Because the level of the minimum wage is very high, many of friends around

my age are hard to be hired. (The National Minimum Wage for the Year of

2008, p.115)

An older caretaker also responded:

I heard from acquaintances working in other security firms that many older

employees have been dismissed since the minimum wage was newly applied

to surveillance or intermittent work. I am very unhappy with the application

of the minimum wage to this work because it threatens my employment. (The

National Minimum Wage for the Year of 2008, p.129).

The Lee, Myung-Bak Administration (2008-2013)

The minimum wage fixed during the period of the Lee government which increased at

the lowest rate among all of the governments is characterised as the maintenance of

wage level for strengthening business competitive power, leading to the development of

the national economy. As shown in the earlier section on the dynamic between the

tripartite members in the Minimum Wage Commission during this period, all of the

rates were fixed through voting on a rate suggested by the public interest representative

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members which was based on indices forecasting the national economy rather than ones

relating to the improvement of workers’ life and income gap. Accordingly, the level of

increase in the minimum wage was not significantly higher than the annual pay award

during this period. Except for 2009 in which the rate of increase in the minimum wage

was 4.4 per cent higher than the average rate of increase in bargaining wage, the growth

rate of the minimum wage was 2.0 per cent lowered than the average rate of increase in

bargaining wage in 2010, identical with it in 2011, and 1.3 per cent and 2.6 per cent

higher in 2012 and 2013, respectively (The Korean Statistical Information Service

(KOSIS) [국가통계포털], 2004-2013; Appendix 3). The sharp contrast in the difference

between the minimum wage rate and the annual pay award in 2009 and 2010 resulted

from the deferred reflection of the 2008 global financial crisis on the minimum wage.

These marginal increases in the minimum wage compared to the annual pay award

suggest that the increases in the minimum wage for this period would have minor

effects on the distribution of wages, in that employers were likely to rarely face pressure

to raise their lowest wages above the rate of increase in wage bargaining and to

differentiate wages between their employees. The ambiguous but significant change in

the lowest wage bracket, the insignificant change in the lower-middle wage bracket, and

the marginal increase in the middle wage bracket among older employees reflect this

point. Considering the fact shown in Chapter Six that older employees’ wages were

much lower than their younger counterparts’, the middle wage bracket in the wage

distribution among older employees was likely to be comprised of those paid around the

minimum wage. In response to a small increase in the minimum wage, employers were

likely to focus on raising the wages close to a minimum wage rate with little

consideration of wage differentials with the above and the below and to selectively

increase their lowest wages which were far lower than a minimum wage rate. This

understanding further provides insight to the likely small improvement in family

earnings of households whose members were paid around the minimum wage but with a

plausible reduction in the chance to exit from in-work poverty. Given that income from

labour is the main source of household income among low-income working families,

employers’ wage practice centring on wages close to the minimum wage in response to

its marginal increase would not lead to an enhancement of the family earnings of

households whose employed members earned much below the minimum wage and thus

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reduced their chances to exit from in-work poverty as the poverty thresholds were

updated by reference to the average family earnings. Further, since the minor increase in

the minimum wage compared to the annual pay award for this period also suggests

insignificant increases in labour costs, employers were likely only rarely to dismiss their

employees on account of an increase in the minimum wage.

The reduction in the statutory weekly working hours in 2011 is another factor to make

the minimum wage effects being restrained for this period. The enforcement of the

curtailed statutory weekly working hours from 44 hours to 40 hours was concluded

among establishments with 20 employees or more until July 2008. However, the

reduction in working hours for firms with less than 20 employees was implemented in

July 2011 under the additional rules of the 2003 Labour Standard Act that the

enforcement date for the establishment with less than 20 employees will be assigned by

a Presidential decree, but the date should be no later than 2011. Firms with less than 20

employees comprised 96.4 per cent of all establishments and hired 51.1 per cent of all

employees in 2011 (The Korean Statistical Information Service (KOSIS) [국가통계포

털], 2011). Although the minimum wage rate in 2012 increased by 6.0 per cent, this rate

of increase made the monthly pay of minimum wage workers working 40 hours a week

in 2012 1.96 per cent lower than the pay of their counterparts working 44 hours a week

in 2011. That is, minimum wage workers whose weekly working hours were reduced in

2011 were likely in 2012 to be paid less than or, at best, the same with the monthly pay

of 2011 under the regulation for preserving employees’ monthly salary in the 2003

Labour Standard Act. In this regard, it can be said that wage rises by the increase in the

minimum wage were restrained in 2012 by its role to preserve the monthly pay curtailed

by the reduction of the statutory working hours, which led to the zero disemployment

effect.

However, the subminimum for surveillance or intermittent work increased from 80 per

cent to 90 per cent of the normal minimum wage rate in 2012. This was likely to work

as a positive factor for low paid older employees. Despite the tentative conclusion under

the previous government that a sub-rate for older workers would contradict the Act on

Prohibition of Age Discrimination in Employment and Elderly Employment Promotion,

the feasibility of a subminimum for older workers was more positively considered in the

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Minimum Wage Commission, as the subminimum for surveillance or intermittent work

increased from 70 per cent to 80 per cent of the normal minimum wage from 2008. The

fact that the questionnaire for the Minimum Wage Commission’s annual visiting survey

in 2008 and 2009 included more concrete questions regarding the issue of a

subminimum for older workers shows that point (The sections of the Minimum Wage

Commission’s annual visiting survey in The National Minimum Wage for the Year of

2009 and of 2010). Although the consideration of a sub-rate for older workers did not

lead to the initiation of legal proceedings, it is implied that the subminimum for

surveillance or intermittent work was likely to play a role of a wage floor for older

workers. The subminimum for surveillance or intermittent work, which was maintained

as 80 per cent of the normal minimum wage rate for the first three years of the Lee

government, increased from 80 per cent to 90 per cent of the normal minimum wage

rate from 2012. This made a 10.3 per cent increase in monthly pay of employees

engaged in those work despite the 40-hour week. The one-year high increase in the

subminimum for surveillance or intermittent work might not be critical for the five-year

minimum wage effects, in that the minimum wage effects were offset over the past two

years by the annual pay award. However, given that the subminimum would work as a

wage floor for older employees, the increase in the subminimum of the year was likely

to contribute to meaningful wage increases among low paid older employees earning

around the subminimum for this year. Moreover, while the normal minimum wage rate

marginally increased only in two years during the Lee government period in practice,

due to its increases being lower than or equivalent to the annual pay award and the

widely enforced reduction in working hours, the subminimum rate had three-year

increases during the period, owing to its high increase in 2012. In this regard, the

increase in the subminimum for this period was likely among older employees to have a

margin to raise some lower wages close to the subminimum, based on the employers’

wage practice in response to a small increase in the minimum wage. This explains the

slight increase in the median wage of older employees and the ambiguous change in

their lowest wage bracket at the same time, providing a clue to the rise in family

earnings among older employees’ households which benefited from the low rates of

increase in the minimum wage in 2009 and in 2013 and the high increase in the

subminimum in 2012. However, the median family earnings of older employees, which

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were only increased significantly and thus thought to benefit from the increase in the

subminimum for surveillance or intermittent work, are much below the median family

earnings of all employees. Given that the main source of family income among older

employees’ households in poverty is earnings, this implies that the wage increases only

around the subminimum were likely to make the existing working poor households

remain in poverty and also induce some new entries to in-work poverty.

The large proportion of those below the minimum wage in the wage distribution among

older employees for the given five years are explained by the influence of a

subminimum rate for surveillance or intermittent work over low paid older employees,

in part, and largely by the prevalent noncompliance among firms hiring older workers.

As the Minimum Wage Commission’s series of actions along with the enforcement of

the subminimum for surveillance or intermittent work implies, the sub-rate tended to be

regarded as an implicit wage floor for low paid older workers. This was likely to

reinforce employers’ practice to pay less than the minimum wage to their unskilled

older employees, combining employees’ spontaneous commitment to work even for

small pay. Employees’ voluntary commitment to work for less than the minimum wage

seems to be connected to their internalisation of age-related social perceptions as in the

previous government period. Interviews with employers and employees conducted by

the Minimum Wage Commission members in field investigations partly show it. An

employer who ran a sewing factory stated:

When I took over the factory and interviewed for deciding the renewal of

employment contract the existing female employees aged 60s and 70s who

were paid only 500 thousand won a month, most of them asked to let them

continue to work even if their pay would be cut. (The National Minimum

Wage for the Year of 2009, p.126)

An employee aged over 50 who worked at a health functional food company said:

I want to continue to work even for small pay because I am over 50. (The

National Minimum Wage for the Year of 2010, p.136)

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Also, an older employee working for a cleaning and guard company answered:

I feel that jobs have recently been decreasing. As pay increased, older workers

have been replaced by younger workers. As an older employee, the level of

pay is not my priority, and thus I am not happy with the increase in the

minimum wage. For me, remaining at work is much more urgent and

important than the increase in the minimum wage. (The National Minimum

Wage for the Year of 2013, p.241)

Meanwhile, during the Lee government, the regional branch offices of the Ministry of

(Employment and) Labour enhanced public relations of the minimum wage through

various types of campaign and strengthened inspection and advice by increasing the

number of establishments and enlarging industrial fields for inspection (The National

Minimum Wage for the Year of 2009, pp.183-188, of 2010, pp.197-201). From 2010, the

Ministry of (Employment and) Labour introduced the Champion of the Minimum Wage

[최저임금 지킴이] who were appointed among retirees from professional jobs to

monitor and prosecute offenders of the minimum wage (The National Minimum Wage

for the Year of 2013, p.289). However, as a standing member of the Minimum Wage

Council mentioned that the Champion of the Minimum wage was expected to have been

helpful in some degree to the reduction in the proportion of those paid below the

minimum wage, but how it has exactly been was not known (The National Minimum

Wage for the Year of 2013, p.36), there was no evidence of the practical crackdown and

penalty which led to the improvement in noncompliance. Considering that low paid

older workers were a particularly vulnerable group in gaining information, reports of the

noncompliance with the minimum wage by older workers themselves were likely to be

rare.

Conclusion

How the empirical results found in Chapter Seven can be understood was the main point

of this chapter. Although the neoclassical economic approaches explained a large part of

253

the results, they left the questions of why the increase in the minimum wage had no

disemployment effect among older employees, regardless of its level of increase, why

noncompliance with the minimum wage significantly exited among older employees,

despite the legal sanctions, in both five-year periods, and ultimately how the minimum

wage operates in practice and for what. The discussion within a political economy

framework proposed in Chapter Five provided more concrete contexts and better

understanding of the empirical findings. Under different government policy

orientations, the dynamics of power between government, employers and employee in

the minimum wage fixing process during each five-year period made distinctive

characteristics of the minimum wage in each period.

The high increases in the minimum wage during the Roh government were

characterised as the preservation of low paid workers’ monthly pay curtailed by the

reduction of the statutory working hours, the exemption from the minimum wage of and

the subminimum for surveillance or intermittent work playing a role as a wage floor for

older workers, and the noncompliance with the minimum wage by the government’s

loose management of it. The role of the minimum wage to preserve monthly pay

curtailed by the reduction of the statutory working hours restrained wage increases

among a considerable proportion of employees for this period and brought about small

but significant effects on the wage distribution without any disemployment effect,

relying on some employers’ practice of maintaining working hours through overtime in

response to the reduction of the statutory working hours and firms to which the reduced

working hours were not applied. However, since the role made roughly half of

employees’ monthly pay remain at the previous level, it prevented the increases in

hourly wages for the other half caused by the increases in the minimum wage from

sufficiently enhancing the rate of increase in annual family earnings among all

employees. This provides a clue to the insignificant minimum wage effect on exits from

in-work poverty, in that the main income source of households in in-work poverty

would be family members’ earnings. The exemption from the minimum wage of and the

subminimum for surveillance or intermittent work was also important, particularly for

the minimum wage effects on older employees. The discussions and debates through the

minimum wage fixing process showed that they played a role as a wage floor for older

254

employees in practice. As the subminimum was fixed in its first year below the average

market wage for the work before it was introduced, it increased higher than the

exempted level only in the last year of the period. This explained that the practical

exemption of older workers from the minimum wage during this period stopped those

paid less than the minimum wage from obtaining it and deprived older employees’

households in poverty of the chance to break out of it. It also suggested that the

ambiguous change in the lowest wage bracket resulted from employers’ wage practices

for their low paid older employees based on the exemption from the minimum wage but

responding to the high rate of increases in the minimum wage in consideration of

employees’ pay being cut by the reduced statutory working hours.

Meanwhile, the low increases in the minimum wage during the Lee government was

characterised as the increases slightly higher than the annual pay award, the

preservation of low paid workers’ monthly pay curtailed by the reduction of the

statutory working hours in 2012, the considerable increase in subminimum for

surveillance or intermittent work in 2012, and the noncompliance with the minimum

wage due to the government’s loose management of it. The low increases in the

minimum wage slightly higher than the annual pay award were responsible for the

marginal changes in the wage distribution, centring on the increase in its median, and

insignificant disemployment effect. As the minimum wage increased at a low rate,

employers were likely to mainly raise wages close to a minimum wage rate and

selectively increase their bottom wages far lower than a rate, having less pressure on

wage differentials. This implied insignificant rises in labour costs and further provided a

clue to the marginal improvement only in the median of family earnings of older

employees and the reduction in the chance to exit from in-work poverty. The median

family earnings of older employees would be much below the equivalent of all

employees, and thus older employees earning their median family earnings were likely

to be those paid close to a minimum wage rate. Nonetheless, as the marginal increases

in the minimum wage rarely raise wages far lower than a minimum wage rate and thus

were likely to make little improvement in family earnings of older employees’

households below the median, the chance to exit from in-work poverty could be reduced

among older employees. The role of the minimum wage to preserve monthly pay

255

curtailed by the reduction of the statutory working hours in 2012 was thought to be a

factor weakening the impact of the minimum wage, in that the reduction was applied to

roughly a half of the entire employees. But, the remarkable increase in 2012 in the

subminimum for surveillance or intermittent work, which worked as a wage floor for

older employees, played a decisive role in the marginal but significant effects on the

wage distribution among older employees by making the three-year increases in the

subminimum for this five-year period, compared to the two-year minor increases in the

normal minimum wage owing to the reduced working hours.

For the two showcased five-year periods, noncompliance with the minimum wage was

prevalent, relying largely on the loose supervision of both governments which had an

exclusive power with regard to the minimum wage in its implementation stage.

Nonetheless, such noncompliance seems to have been based on the combination of

employers’ perceptions of older employees’ labour productivity and older workers’

internalisation of social perceptions of themselves as partly reflected in the interview

responses in the Minimum Wage Commission’s field investigations. With regard to

older worker’s internationalisation of social perceptions, Jung, S-D, Song, A-Y and

Jeon, H-S (2015) argue that Korean older people internalise ageism based on their

findings showing stronger ageism at higher ages.

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Notes

1 For the first five-year period, the annual growth rate of wages for all employees ranges from 4.4 per cent to 6.6 per cent, and the minimum wage increase rate ranges from 8.3 per cent to 13.1 per cent. For the second five-year period, the annual growth rate of wages for all employees ranges from -0.9 per cent to 6.4 per cent while the minimum wage increase rate ranges from 2.75 per cent to 6.1 per cent, which has two interesting matches between 6.4 per cent of the annual growth rate of wages for all employees and 2.75 per cent of the minimum wage increase rate and between 5.3 per cent of the annual growth rate of wages and 6.0 per cent of the minimum wage increase rate. The annual growth rate of wages for all employees are based on the average monthly earnings of the Occupational Labour Force Survey At Establishments[사업체노동력조사] which is conducted every April and October by the Ministry of Employment and Labour for the sample of 32,300 workplaces with 5 or more permanent employees. 2 According to Haggard and Kaufman (1995), the neoliberal economic policy is based on the fundamental principle of business efficiency, trade liberalisation, market openness, and a ‘minimalist’ state for a market-oriented economy. The concrete strategies for those principles were named ‘Washington Consensus’ in 1989 by international economic institutes in Washington D.C., such as the International Monetary Fund (IMF) and the World Bank, which included privatisation of the public sector to maximise the market efficiency, deregulation for flexible labour market and free business activities, and openness focusing on trade and monetary market liberalisation (Williamson, 1990, quoted from Kim, K-O, 2011, pp.279-280). 3 In the special lecture for venture business leaders held in October, 2007, the former president Roh, Moo-Hyun clarified the identity of his administration as a progressive one, refusing to agree to the criticism of its economic policy from both conservative and progressive camps (YTN, 18 October, 2007, quoted from Kim, K-O, 2011). 4 The schedule of the financial hub plan were advanced at the first financial hub meeting chaired by the president in June of 2005, from 2012 to 2010 for the construction of asset management-specialised financial hub and from 2020 to 2015 for the final goal (The National Economic Advisory Council [국민경제자문회의], 2007, p.225) 5 According to a survey that the Realmeter, an independent research company, conducted in March, 2010, opposition against the project was 49.9 per cent while supports for it, 36.7 per cent (Lee, Chang-Hwan, (22 May, 2017) ‘What is ‘the Four Major River Project’ on which the Blue House ordered inspection’ [청와대 감사 지시 ‘4 대강 사업’은 무엇인가], The Asia Economy Daily [아시아경제]). 6 The estimated ripple effect on production ranges from 13 trillion won to 46.5 trillion won, and the estimated effect on employment also varies from 46,628 jobs to 317,470 jobs. For detail, see Yoo, Seung-Hoon & Park, Dooho (2013). The effects of the Four Major Rivers Restoration Project on regional economy [4 대강 살리기 사업의 지역경제 파급효과]. The Journal of Wetland Research [한국습지학회지], 15, 159-164. 7 By the Labour Standards Act amended in September 2003, the statutory weekly working hours were reduced from 44 hours to 40 hours in phase. It was applied to the firms employing 1,000 full-time employees and more, financial and insurance businesses, and government-

257

funded organisations from July, 2004, and yearly extended until 2008 to the firms employing 300 and more and below 1,000, to the ones employing 100 and more and below 300, to the ones employing 50 and more and below 100, and to the ones employing 20 and more and below50, respectively. For the firms employing below 20, it was applied from July 2011. 8 The Article 1 of the Minimum Wage Act states that ‘the purpose of this Act is to stabilize workers’ life and to improve the quality of the labour force by guaranteeing a certain minimum level of wages to workers, thereby contributing to the sound development of the national economy’.

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Chapter Nine Conclusion

Introduction

This thesis explored how the minimum wage in South Korea affected older workers.

Three main questions were addressed: 1) how the minimum wage affects the

distributions of wages and family earnings, employment and exits from in-work poverty

among older workers, 2) whether different rates of increase in the minimum wage have

different effects among older workers, and 3) how the empirical results of the minimum

wage effects on older workers can be understood. These questions were examined

through a case study of South Korea. Two consecutive government periods, Roh, Moo-

Hyun government (2003-2008) and Lee, Myung-Bak government (2008-2013), were

compared both empirically and contextually. Using the Korean Labour and Income

Panel Study (KLIPS), linear least squares (OLS) models, fixed-effects models, and

multilevel discrete-time event history models for competing risks were mainly

employed for the empirical part of the analysis. Also exploiting the Minimum Wage

Council’s annual report on minimum wage fixing process, The National Minimum Wage

for the Year of OOOO: The Details of Deliberation and Decision, a contextual analysis

was conducted for further discussion of empirical findings. In this final chapter, the

main findings of this thesis will be summarised answering the research questions

addressed. Then, the review of the contributions and policy implications that this study

made is followed by the limitations of and reflections on the research method that this

study exploited.

Summary of Findings

The empirical part of this thesis provided answers to the first two research questions,

how the minimum wage affects the distributions of wages and family earnings,

employment and exits from in-work poverty among older workers and whether different

rates of increase in the minimum wage have different effects among older workers.

259

Regardless of the rate of increase, the minimum wage created a spike at or around the

minimum wage in the distribution of wages for older employees, but with a large

proportion in the distribution left below the minimum wage. High increases in the

minimum wage had significant effects on the middle percentiles of wages among older

employees while low increases in the minimum wage had only on the median of wages

among them. Further, high increases in the minimum wage reduced marginally and

significantly the wage gap between the highest wage bracket and the lowest or lower-

middle wage brackets but changed ambiguously the gap between the middle and lowest

wage brackets. Low increases in the minimum wage had marginal and significant

effects on the wage gap between the highest wage bracket and the lowest or middle

wage brackets. In terms of the employment effects, there was no significant correlation

between the increase in the minimum wage and regional changes in employment or

unemployment rates among older employees for the period with highest rates of

increase in the minimum wage. By contrast, low increases in the minimum wage were

negatively and significantly correlated with regional changes in unemployment rates

among older individuals. As regards the effects on the distribution of older employees’

family earnings, no significant effect was found for the period with high increases in the

minimum wage, whereas low increases were responsible for the rise in the median of

older employees’ family earnings. Further, high increases in the minimum wage had no

significant effect on exits from in-work poverty among older employees’ households,

and small increases in the minimum wage marginally but significantly reduced the

chance for older employees’ households in poverty to exit from it.

These results were obtained from appropriate methods with consideration for the

instituional peculiarities of the Korean national minimum wage. However, as already

stated in Chapter Seven, the results for the distribution of wages and family earnings

and employment among older employees from the OLS and fixed-effects models at the

regional level should be reviewed with particular caution, in that no equivalent data for

comparison groups to which the minimum wage was not applied were available. By

comparison, it can be concluded that an increase in the minimum wage rarely leads to

an individual’s dismissal and exit from in-work poverty among older employees, in that

the event history models directly addressed the likely transitions from a concerned

260

starting point. The methodological shortcomings are addressed again in the limitation

and reflection section of this chapter.

These empirical results can be largely explained by the neoclassical economic

explanations. However, the economic explanations left the questions of why the

increase in the minimum wage had no disemployment effect among older employees,

regardless of its level of increase, why noncompliance with the minimum wage

significantly exited among older employees, despite the legal sanctions, in both five-

year periods, and ultimately how the minimum wage operates in practice and for what.

The third research question, how the empirical results of the minimum wage effects on

older workers can be understood, was further explored by a contextual analysis based

on the political economy framework proposed in Chapter Five. Under different

government policy orientations, the dynamics of power between government, employers

and employee in the minimum wage fixing process during each five-year period made

distinctive characteristics of the minimum wage in each period. The high increases in

the minimum wage during the Roh government was characterised as the preservation of

low paid workers’ monthly pay curtailed by the reduction of the statutory working

hours, the exemption from the minimum wage of and the subminimum for surveillance

or intermittent work playing a role as a wage floor for older workers, and the

noncompliance with the minimum wage caused by the government’s loose

management. The role of the minimum wage to preserve monthly pay curtailed by the

reduction of the statutory working hours restrained wage increases among a

considerable proportion of employees for this period and brought about small and

significant effects on the wage distribution without disemployment effect, relying on

some employers’ practice of maintaining working hours through overtime in response to

the reduction of the statutory working hours and firms to which the reduced working

hours were not applied. However, since the role made roughly half of employees’

monthly pay remain at the same level, it prevented the increases in hourly wages for the

other half caused by the increases in the minimum wage from sufficiently enhancing the

rate of increase in annual family earnings among all employees. This provides insight to

the insignificant minimum wage effect on exits from in-work poverty, in that the main

income source of households in in-work poverty would be family members’ earnings.

261

The exemption from the minimum wage of and the subminimum for surveillance or

intermittent work was also important, particularly for the minimum wage effects on

older employees. The discussions and debates through the minimum wage fixing

process informed that they played a role as a wage floor for older employees in practice.

As the subminimum was fixed in its first year below the average market wage for the

work before it was introduced, it increased above the exempted level only in the last

year of the period. This explained that the practical exemption of older workers from the

minimum wage during this period restrained those paid less than the minimum wage

from obtaining its benefit and deprived older employees’ households in poverty of the

chance to be out of it. It also suggested that the ambiguous change in the lowest wage

bracket resulted from employers’ wage practices for their low paid older employees

based on the exemption from the minimum wage but responding to the high rate of

increases in the minimum wage in consideration of employees’ pay cut by the curtailed

statutory working hours.

Meanwhile, the low increases in the minimum wage during the Lee government were

characterised as increases slightly higher than the annual pay award, the preservation of

low paid workers’ monthly pay curtailed by the reduction of the statutory working hours

in 2012, the considerable increase in subminimum for surveillance or intermittent work

in 2012, and the noncompliance with the minimum wage by the government’s loose

management of it. The low increases in the minimum wage slightly higher than the

annual pay award were responsible for the marginal changes in the wage distribution,

centring on the increase in its median, and insignificant disemployment effect. As the

minimum wage increased at a low rate, employers were likely to mainly raise wages

close to a minimum wage rate and selectively increase their bottom wages far lower

than a rate, having less pressure on wage differentials. This implied insignificant rises in

labour costs and further provided a clue to the marginal improvement only in the

median of family earnings of older employees and the reduction in the chance to exit

from in-work poverty. The median family earnings of older employees would be much

below the equivalent of all employees, and thus older employees earning their median

family earnings were likely to be those paid close to a minimum wage rate.

Nonetheless, as the marginal increases in the minimum wage rarely raise wages far

262

lower than a minimum wage rate and thus were likely to make little improvement in

family earnings of older employees’ households below the median, the chance to exit

from in-work poverty could be reduced among older employees. The role of the

minimum wage to preserve monthly pay curtailed by the reduction of the statutory

working hours in 2012 were thought to be a factor of weakening the impact of the

minimum wage, in that the reduction was applied to roughly a half of the entire

employees. But, the remarkable increase in 2012 in the subminimum for surveillance or

intermittent work, which worked as a wage floor for older employees, played a decisive

role in the marginal but significant effects in the wage distribution among older

employees by making the three-year increases in the subminimum for this five-year

period, compared to the two-year minor increases in the normal minimum wage owing

to the reduced working hours.

For the two showcased five-year periods, noncompliance with the minimum wage was

prevalent, relying largely on the loose supervision of both governments which had an

exclusive power with regard to the minimum wage in its implementation stage.

Nonetheless, such noncompliance seems to have been based on the combination of

employers’ perceptions of older employees’ labour productivity and older workers’

internalisation of social perceptions of themselves as partly reflected in the interview

responses in the Minimum Wage Commission’s field investigations.

Contributions

This thesis has contributed to knowledge in three ways. Firstly, it added limited but

significant findings to the research of the minimum wage effects on older workers. The

empirical results provided evidence that an increase in the minimum wage had no

disemployment effect at an individual level among older workers. This might suggest

that non-negative employment effects are likely to be the norm rather than the exception

for older workers, in that Fang and Gunderson (2009) found positive employment

effects for Canadian older workers. On top of the employment effects, this research

provided empirical results of the minimum wage effects on the distributions of wages

and family earnings among older employees and evidence of no improvement in their

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chance to exit from in-work poverty. Although the results of the distributions of wages

and family earnings are high plausibility rather than conclusive evidence due to the

unavailability of using an ideal research design, those findings newly explored and

added to the research of the minimum wages effects on older workers could work as a

starting point of broadening the scope of the research field. This research also compared

the minimum wage effects produced by very different levels of increases in the

minimum wage. Since such comparison has rarely been conducted in the research of the

minimum wage effects, it could give a fresh insight into the effects of the minimum

wage.

Secondly, this thesis addressed the points which were not easily understood by the

mainstream economic explanations and demonstrated better understandings of the

empirical findings in addition to proposing an alternative political economy framework.

Although the empirical results were largely understood by the mainstream economic

theories and general economic rules, a considerable part of the results, such as a large

proportion of those paid below the minimum wage and insignificant disemployment

effects, were not explained. The findings from a contextual analysis based on the newly

proposed framework provided more concrete explanations of the empirical results. For

example, the implicit characteristics of the minimum wage, which were formed by the

dynamics of power among government, employers, and employee, plus a government’s

policy orientation, informed that the non-negative employment effects for Korean older

workers resulted from changes in related regulations lowering the level of increase in

the minimum wage in practice and the exclusively low level of wages among older

employees. This may suggest the necessity to take account of the minimum wage policy

process for further understanding of the empirical results, especially in that Fang and

Gunderson’s (2009) supposition of the positive employment effects among Canadian

older workers brought about by the substitution between arguably more productive low-

paid older workers and arguably the least productive teenagers was denied by Lanot and

Sousounis’ (2017) findings in the UK context. The explanations based on the analysis of

the minimum wage policy process for a large proportion of those paid below the

minimum wage and the apparent inconsistency among the results of the wage

distribution, of the distribution of family earnings, and of exits from in-work poverty

264

also support the necessity by providing new information, including older employees’

internalisation of social perception on themselves, and calling attention to the

importance of changes in other related regulations.

Connecting to the second point, this thesis showed the usefulness of employing a

contextual analysis with qualitative data in the research of the minimum wage effects.

Although a quantitative analysis using a sophisticated inference is a norm in the

research field, accumulated empirical evidence from it are inconsistent and significantly

unexplained by the dominant theories. As shown earlier, the findings from the

contextual analysis of the minimum wage policy process fill the gap between the

empirical results and the understanding of them. The consideration of the political

attributes that the minimum wage has as a public policy may not necessarily lead to a

qualitative analysis. However, stressing the point that an exploration of the policy

process is necessary for figuring out complex contexts of the changing political

attributes of the minimum wage, this research used the contextual analysis with

qualitative data. This called additional attention to textual data, which informed what

was discussed and decided in the minimum wage policy process and what was not and

how the decided and undecided issues worked to create the characteristics of the

minimum wage. Despite the importance of its value as a record of the minimum wage

policy process, the Minimum Wage Council’s annual reports, which were used for the

contextual analysis in this thesis, have never been used as data in previous research on

the minimum wage effects in Korea. This first try at employing the reports for the

research on the minimum wage effects might induce the production of more detailed

and definitive records as regards the minimum wage policy process for researchers in

this field to use them in various ways.

Policy Implications

The findings from both quantitative and qualitative analyses provide several critical

implications to government and policy decision-makers. First and most importantly, the

findings imply that older workers are particularly vulnerable as regards minimum wage

policy and its effects. The results that a large proportion of older employees were paid

265

below the minimum wage and that the two indicators of an increase in the minimum

wage had contrasting effects in lower wage brackets implies that employers’ widespread

wage practice exclusively to their low-paid older employees is based on the extent of

the gap between the bottom wages and a minimum wage rate rather than on compliance

with the minimum wage, relying on their perception of older workers’ productivity. This

is supported by the facts that the proportion paid less than the minimum wage was kept

below 13 per cent among all employees during the researched periods (Lee, G-P, 2019)

and the contrasting effects of the two indicators were not found in Jeong, J-H’s (2011)

study for all employees. The fact that the Minimum Wage Commission, despite its

likely violation against the age discrimination law, kept discussing the feasibility of a

subminimum for older workers for several years since the subminimum for surveillance

or intermittent work was introduced, which suggested that the subminimum for

surveillance or intermittent work worked as a practical wage floor for older employees,

also support the implication of employers’ discriminatory wage practice to older

workers. This further implies that government and policy decision-makers share

employers’ biased perceptions of older workers, without reliable evidence about their

low productivity. A more critical finding which calls attention of government and policy

decision-makers is that older workers are likely to internalise such biased perception of

themselves and actively accept employers’ discriminatory wage practice.

Older workers’ vulnerability described above addresses the issue of the government’s

management of noncompliance with the minimum wage and the widespread biased

perception of older workers. As presented in Chapter Eight, government tended to

neglect the management of it, especially for firms hiring older workers. Government

and policy decision-makers’ share of employers’ biased perception of older workers

gives rise to concern that they would keep allowing employers’ noncompliance with the

minimum wage, especially for their low-paid older employees. However, recalling that

the empirical results of the distribution of older employees’ family earnings and of their

chance to exit from poverty, especially for the period with low rate of increase in the

minimum wage, suggested low wage older employees benefiting from an increase in the

minimum wage were likely to be largely breadwinners in low-income households,

unlike their younger counterparts, and noncompliance with the minimum wage mainly

266

brought about the negative effect on their chance to exit from in-work poverty, fair

management of noncompliance could improve the welfare of low-income older

employees’ households and relieve in-work poverty among older workers. This point

needs to be emphasised more, in that the subminimum for surveillance or intermittent

work was abolished as the normal minimum wage rate was applied to this work from

2015. At the same time, older workers’ vulnerability presented by the findings of this

research may suggest the need for government’s comprehensive review of their

perception of older workers (and further older people) in making and implementing

policies and provisions of measures to improve employers’ perception of older workers,

in consideration of rapidly ageing Korean workforce.

This thesis also reminds us of the fact that the effects of the minimum wage can be

largely influenced by the changes in other related regulations as well as within the

minimum wage act. The findings from the contextual analysis indicated that the

introduction of the subminimum for surveillance or intermittent work made a part of

noncompliance with the minimum wage legalised, which contributed to a large

proportion paid less than the minimum wage, whilst an later increase in the

subminimum worked as a critical factor to induce some positive effects, and the change

in the Labour Standard Act, particularly in the statutory weekly working hours,

critically weakened the impact of the minimum wage. It was shown that such findings

were from the absence of the sufficient research and discussion about the plausible

influence of related legal changes in the minimum wage fixing process. In as much as

the debates on the minimum wage recently heat up further but still remain in focusing

on its rate of increase, the comprehensive consideration of the influences of various

legal changes would provide a clue to relieving conflicts and reaching an agreement as

well as to generating desirable minimum wage effects.

Limitations and Reflections

Several points that this research was not able to cover or could have further considered,

particularly in terms of research methods, can be noted as follows. As stated in Chapter

Seven, the empirical results obtained from the OLS and fixed-effects models should be

267

cautiously understood because no comparison group was available. If equivalent data

were available for before the introduction of the minimum wage or for regions/sectors

with no application of the minimum wage, the models could be tested for the difference

between times in the difference between the various percentiles of wages and family

earnings or employment and unemployment rates before the introduction of the

minimum wage or in regions/sectors where it was not applied and their counterparts

after the introduction or in regions/sectors with an increase in the minimum wage.

However, the institutional peculiarities of the Korean national minimum wage allow us

to set up no comparison groups, and accordingly, the estimated OLS and fixed-effects

models in this study may not provide robust evidence of minimum wage effects but high

plausibility.

By comparison, the empirical results from the multilevel discrete-time event history

models for competing risks are convincing but do not provide a full account of

employment effects for older workers and a further exploration of their plausible inflow

into in-work poverty resulted from an increase in the minimum wage. Since the main

concerns of this thesis as regards employment and poverty issues were whether an

increase in the minimum wage would bring about older employees’ dismissal and raise

their chance to exit from in-work poverty at an individual level, the event history

models examined individuals’ transitions only from being employed and from being in

in-work poverty for each topic. In this regard, the findings do not inform us of whether

an increase in the minimum wage prevented new hires or induced the fall into in-work

poverty among older workers. For a full account of employment effects, the minimum

wage effect on older workers’ transitions from being unemployed or being in other types

of employment to being employed should be also explored. Likewise, for a further

exploration of the minimum wage effect on older employees’ inflow into in-work

poverty, whose possibility was raised by the negative and significant result of the

minimum wage effect on older employees’ exits from in-work poverty for the second

five-year period, older workers’ transitions from other states, such as being employed

but not poor, being unemployed, or being in other types of employment, can be

examined.

268

This thesis could have conducted qualitative interviews for an exhaustive study of the

minimum wage fixing process. Although the Minimum Wage Council’s annual report

gave relatively detailed accounts of the process, including each representative group’s

demands and responses, the discussions and interactions between the groups, surveys

and workshops conducted by the commission, and recommendation to government,

there are likely to be more facts and contexts which were not presented in the official

government document. For this thesis, qualitative interviews were virtually impossible

because of time limits and the issue of accessibility to interviewees. Several of the

critical years of the Korean Labour and Income Panel Study were released one year later

than originally scheduled, and the multiple level discrete-time event history models for

competing risks required a huge amount of preparatory work with the data.

Experiencing time constraints for the empirical analysis part, it was concluded that

interviews with at least two groups of 27 former commission representatives in Korea

would exceed the possibility of this thesis and it would be better to leave it for future

study.

Lastly, the fact that the contextual analysis of this study focused on the minimum wage

fixing process implies that the understanding of the empirical results from the

contextual analysis could have a lacuna which is explained by an analysis of the

minimum wage implementing stage. Particularly for noncompliance, looking at the

practices of government department and branch offices, which are responsible for

inspection and control of violation of the minimum wage, would provide more abundant

information for a sound explanation. Meanwhile, this study did not deal with the

influence of public opinion in the contextual analysis because a cohesive and powerful

force of public opinion significantly involved in the minimum wage policy process was

not found for the observed periods. It seems that the Minimum Wage Commission

externally fulfil the necessary conditions for a social consultative group, and in this

regard, potent movements of civic groups for or against the minimum wage are likely to

be rarely found. However, public opinion is a political factor not to be overlooked, in as

much as it exhibits potentially an influential force as often observed with regard to other

issues.

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Conclusion

This thesis studied the impact of the minimum wage on older workers in a Korean

context, in terms of their distributions of wages and family earnings, employment, and

chance to exit from in-work poverty. Despite the limitations of some statistical models,

it provided critical empirical results and evidence on the effects, and further

demonstrated through a contextual analysis the link between the empirical results and

the outcomes of the minimum wage policy process, based on a newly proposed political

economy framework for an enhanced understanding of the minimum wage effects. The

findings of this thesis, first and most importantly, showed that older workers were

especially vulnerable even in terms of minimum wage policy, which was expected to

work as a bottom line for the lowest paid in the labour market. It was pointed out that

such vulnerability was likely to be reproduced by government’s sharing employers’ poor

perceptions of older workers, and older workers’ internalisation of the perception, as

well as employers’ discriminatory wage practices based on their biased perception of

older workers’ productivity. These main points of this thesis call special attention to the

fact that older workers should no longer be ‘them’ either in the labour market or in our

society and should be included as ‘us’ in public policies and labour market practices,

especially when facing unprecedented rapidly ageing workforces, particularly in Korea.

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Appendix

Appendix 1: KLIPS Data Used and Minimum Wage (MW) Applied

MW Fixing Time Point

MW Rate Application Period

MW Applied (\) (Increase

Rate, %)

KLIPS Wave Used

(Data Collection Period)

Roh, Moo-Hyun

Government (2003.2 –

2008.2)

2003. 8 2003. 9 – 2004. 8 2,510 (10.3) Wave 7 (2004. 4 - 9)

2004. 8 2004. 9 - 2005. 8 2,840 (13.1) Wave 8 (2005. 4 -9)

2005. 8 2005. 9 – 2006. 12 3,100 (9.2) Wave 9 (2006. 4 –9)

2006. 8 2007 3,480 (12.3) Wave 10 (2007. 4 –9)

2007. 8 2008 3,770 (8.3) Wave 11 (2008. 4- 9)

Lee, Myung-

Bak Government

(2008.2 – 2013.2)

2008. 8 2009 4,000 (6.1) Wave 12 (2009. 4 - 9)

2009. 8 2010 4,110 (2.75) Wave 13 (2010. 4 - 9)

2010. 8 2011 4,320 (5.1) Wave 14 (2011. 4 - 9)

2011. 8 2012 4,580 (6.0) Wave 15 (2012. 4 - 9)

2012. 8 2013 4,860 (6.1) Wave 16 (2013. 4 - 9)

Note: Each data collection period contains September in which a new minimum wage rate is applied, but Wave 7 & 8 are assumed to represent the effect of an established minimum wage rate rather than a newly applied one; Information on the fraction of those affected by a new minimum wage rate and on household income for each year was from the previous wave and the following wave, respectively. Thus, information on the fraction of those affected by the rate applied between September, 2003 and August, 2004 was from Wave 6; and information on household income for 2013 was from Wave 17.

271

Appendix 2: MLwiN Macros for Multilevel Competing Risks Models

A. Analysis of Transition in Employment Status

NOTE: The Effect of Minimum Wage on Older Workers' Employment? Macro to set up Multilevel Models for Competing Risks in MLwiN NOTE: C:\Documents\Database\emp0711.sav NOTE: c1-c12: c1 'id' c2 'year' c3 ‘event’ c4 'dur' c5 'atrisk' c6 'sex' c7 'age' c8 'edu' c9 ‘mwap’ c10 ‘aplr’ NOTE: Calculate duration-squared variable calc c11='dur'*'dur' name c11 'dursq' NOTE: Create level 2 ID (coded 1,2, . . ., 2338) code 2338 1 1 c12 name c12 'lev2id' NOTE: Create vector of ones - needed for estimation of intercept terms put 2338 1 c13 name c13 'cons' NOTE: Declare event as categorical then as a multinomial response, with category 0 the reference NOTE: 2 new variables are created, the stacked binary responses for categories 1 and 2 and a response index catn 1 'event' 0 'stillemp' 1 'une' 2 'selfe' mnom 0 'event' c14 c15 0 name c14 'resp' c15 'resp_ind' NOTE: Create 'long' version of ATRISK. (Values of other variables will be repeated automatically when added to the multinomial model.) repe 2 'atrisk' c17 name c17 'atrisk_long' NOTE: Divide by ATRISK to obtain probability of each type of event within one-year interval and declare as response calc c18='resp'/'atrisk_long' name c18 'y' resp 'y' NOTE: Declare ATRISK as the denominator calc c19='atrisk_long' name c19 'denom' NOTE: Declare multilevel structure. Level 1 used to define multivariate structure. iden 1 'resp_ind' 2 'lev2id' 3 'id' NOTE: Declare sex edu mwap variables as categorical and name categories catn 1 'sex' 1 'male' 2 'female' catn 1 'edu' 1 'high-' 2 'high+' catn 1 'mwap' 0 'mw not affected' 1 'mwaffec' NOTE: Add covariates addt 'cons' addt 'dur'

272

B. Analysis of Exits from In-Work Poverty

NOTE: The Effect of Minimum Wage on Older Workers' Exit from Poverty? Macro to set up Multilevel Models for Competing Risks in MLwiN NOTE: C: \Documents \Database \wp0711.sav NOTE: c1-c12: c1 'id' c2 'year' c3 'event' c4 'dur' c5 'atrisk' c6 'sex' c7 'age' c8 'edu' c9 'hhold' c10 'fnum' c11 ‘mwap’ c12 ‘aplr’ NOTE: Calculate duration-squared variable calc c13='dur'*'dur' name c13 'dursq' NOTE: Create level 2 ID (coded 1,2, . . ., 670) code 670 1 1 c14 name c14 'lev2id' NOTE: Create vector of ones - needed for estimation of intercept terms put 670 1 c15 name c15 'cons' NOTE: Declare event as categorical then as a multinomial response, with category 0 the reference NOTE: 2 new variables are created, the stacked binary responses for categories 1, 2, 3 and a response index catn 1 'event' 0 'stillwp' 1 'exitwp' 2 'une' 3 'selfe' mnom 0 'event' c16 c17 0 name c16 'resp' c17 'resp_ind' NOTE: Create 'long' version of ATRISK. (Values of other variables will be repeated automatically when added to the multinomial model.) repe 3 'atrisk' c19 name c19 'atrisk_long' NOTE: Divide by ATRISK to obtain probability of each type of event within one-year interval and declare as response calc c20 ='resp'/'atrisk_long' name c20 'y' resp 'y' NOTE: Declare ATRISK as the denominator calc c21 ='atrisk_long' name c21 'denom' NOTE: Declare multilevel structure. Level 1 used to define multivariate structure. iden 1 'resp_ind' 2 'lev2id' 3 'id' NOTE: Declare sex edu hhold mwap variables as categorical and name categories catn 1 'sex' 1 'male' 2 'female' catn 1 'edu' 1 'high-' 2 'high+' catn 1 'hhold' 0 'not household' 1 'household' catn 1 'mwap' 0 'mw not affected' 1 'mwaffec' NOTE: Add covariates addt 'cons' addt 'dur'

273

Appendix 3: Growth in Minimum Wage, Annual Pay Award, Annual Inflation (CPI) & GDP per capita, and Minimum Wage relative to Average Wage of Full- time Workers in South Korea, 1988-2014 (%)

Growth in MW

Annual Pay Award

Annual Inflation

GDP per capital growth

MW relative to mean wage of full-time workers

MW relative to median wage of full-time workers

1988 - - 7.1 10.8 26.00 32.96

1989 26.3 - 5.7 6.0 27.97 34.65

1990 15.0 - 8.6 8.7 27.36 33.67

1991 18.8 - 9.3 9.3 27.34 33.31

1992 12.8 - 6.2 5.1 26.11 30.82

1993 8.6 - 4.8 5.8 25.70 30.08

1994 8.0 - 6.3 8.1 25.33 29.13

1995 7.8 - 4.5 8.5 23.92 27.78

1996 9.0 - 4.9 6.6 23.06 27.21

1997 9.8 - 4.4 4.9 23.23 27.12

1998 6.1 -2.7 7.5 -6.2 24.31 28.50

1999 2.7 2.1 0.8 10.5 24.95 29.46

2000 4.9 7.6 2.3 8.0 23.81 28.80

2001 16.6 6.0 4.1 3.7 26.09 31.81

2002 12.6 6.7 2.8 6.8 27.31 33.42

2003 8.3 6.4 3.5 2.4 27.30 34.00

2004 10.3 5.2 3.6 4.5 28.22 35.31

2005 13.1 4.7 2.8 3.7 29.78 37.29

2006 9.2 4.8 2.2 4.6 30.62 38.92

2007 12.3 4.8 2.5 4.9 33.35 42.86

2008 8.3 4.9 4.7 2.1 34.13 43.60

2009 6.1 1.7 2.8 0.2 35.91 45.20

2010 2.8 4.8 2.9 6.0 35.86 45.07

2011 5.1 5.1 4.0 2.9 35.82 45.48

2012 6.0 4.7 2.2 1.8 34.11 42.94

2013 6.1 3.5 1.3 2.4 35.06 44.22

2014 7.2 4.1 1.3 2.7 35.71 45.85

Source: Korea Minimum Wage Council (http://www.minimumwage.go.kr) & OECD.Stat (http://stats.oecd.org/Index.aspx) Note: ‘-‘ data not available

274

Appendix 4: Changes in Labour Force Participation, Employment and Unemployment among Workers Aged 50+ in South Korea, 2000- 2014 (%)

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Participation rate 50-54 Years old 72.5 72.5 73.3 72.7 72.9 73.8 74.1 74.5 75.4 75.6 75.9 76.4 77.0 77.6 78.8 55-59 Years old 64.3 64.1 64.8 64.7 65.1 64.9 64.7 66.6 67.3 67.3 68.3 68.9 69.7 70.7 72.6 60-64 Years old 54.3 54.8 55.9 52.7 53.7 54.5 55.8 56.3 55.1 55.1 55.5 56.9 57.8 58.5 59.8 65+ 29.6 30.0 30.7 28.7 29.8 30.0 30.5 31.3 30.6 30.1 29.4 29.5 30.7 31.4 31.9 Employment/population ratio 50-54 Years old 70.2 70.3 71.8 71.3 71.4 72.1 72.6 73.0 73.9 73.7 74.2 74.7 75.4 76.3 77.2 55-59 Years old 62.2 62.5 63.7 63.2 63.4 63.1 63.2 65.2 65.9 65.6 66.5 67.4 68.1 69.2 70.8 60-64 Years old 53.0 53.7 55.0 51.8 52.7 53.4 54.5 55.0 54.1 53.8 53.7 55.1 56.1 57.2 58.3 65+ 29.4 29.9 30.5 28.6 29.6 29.8 30.3 31.1 30.3 29.7 28.7 28.9 30.1 30.9 31.3 Unemployment rate 50-54 Years old 3.2 3.0 2.0 2.0 2.1 2.3 2.0 2.1 1.9 2.5 2.3 2.1 2.0 1.7 2.1 55-59 Years old 3.3 2.6 1.8 2.4 2.6 2.8 2.4 2.1 2.1 2.4 2.6 2.1 2.3 2.1 2.5 60-64 Years old 2.3 2.0 1.6 1.6 1.7 2.1 2.3 2.3 1.7 2.2 3.4 3.1 2.8 2.3 2.6 65+ 0.6 0.5 0.5 0.4 0.7 0.7 0.7 0.7 0.8 1.2 2.4 2.2 2.1 1.5 2.0

Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year.

275

Appendix 5: Changes in the Growth Rate in Population, Labour Force Participation and Employment among Workers Aged 50+ in South Korea, 2001-2014 (%)

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

50-54 years old

Population 2.9 3.2 3.0 4.9 9.4 7.9 6.7 4.6 5.1 4.8 3.4 2.4 1.7 0.4 Labour force participation 2.9 4.3 2.1 5.3 10.7 8.3 7.4 5.8 5.4 5.2 4.0 3.2 2.5 1.9 Employment 3.1 5.4 2.2 5.2 10.4 8.6 7.3 6.0 4.8 5.4 4.2 3.4 2.8 1.6

55-59 years old

Population 0.2 1.7 3.7 4.5 5.1 3.4 2.6 2.5 4.8 6.8 7.5 6.9 5.7 5.6 Labour force participation -0.1 2.9 3.5 5.1 4.8 3.2 5.4 3.7 4.7 8.5 8.4 8.3 7.2 8.3 Employment 0.7 3.7 2.8 4.9 4.6 3.6 5.8 3.7 4.3 8.3 9.0 8.1 7.4 7.9

60-64 years old

Population 2.4 2.5 1.2 -0.3 0.2 1.7 2.4 1.9 3.9 4.0 3.5 3.1 3.0 4.9 Labour force participation 3.4 4.5 -4.6 1.5 1.9 3.9 3.4 -0.3 3.8 5.0 6.0 4.7 4.4 7.2 Employment 3.8 4.9 -4.6 1.3 1.6 3.7 3.4 0.3 3.3 3.8 6.3 4.9 5.0 6.9

65 +

Population 5.5 5.5 5.4 5.2 8.1 4.5 2.9 3.4 3.3 3.7 4.2 5.4 3.6 4.2 Labour force participation 6.9 8.0 -1.3 9.2 8.7 6.2 5.5 1.1 1.5 1.5 4.6 9.7 5.8 6.1 Employment 7.0 7.9 -1.2 8.9 8.7 6.2 5.5 1.0 1.1 0.3 4.8 9.9 6.4 5.5

Source: The National Statistical Office of Korea, Economically Active Population Survey [경제활동인구조사], Each Year, Author’s calculation

276

Appendix 6: Changes in Employment Status of Workers Aged 50+ in South Korea, 2007-2013, (%)

2007. 08 2008. 08 2009. 08 2010. 08 2011. 08 2012. 08 2013. 08

Self-Employed

50-59 Years old 36.9 35.8 35.2 33.2 33.0 32.8 31.6 60 Years old and over 50.1 49.4 45.4 44.3 44.3 44.0 43.4

Wage Employees

50-59 Years old 54.3 55.2 56.6 58.9 59.5 60.5 61.6 60 Years old and over 37.1 37.2 42.4 44.0 44.2 44.2 45.8

Regular · Irregular

50-59 Regular 57.4 60.4 59.4 60.7 60.4 62.4 62.9 50-59 Irregular 42.6 39.6 40.6 39.3 39.6 37.6 37.1 60+ Regular 34.0 34.3 27.3 30.4 29.5 29.5 32.5 60+ Irregular 66.0 65.7 72.7 69.6 70.5 70.5 67.5

Source: The National Statistical Office of Korea, Supplementary Results (by Type of Employment and for Non-wage Workers) of the Economically Active Population Survey [경제활동인구조 사 (근로형태별, 비임금근로자) 부가조사], Every August in Each Year, Author’s calculation.

277

Appendix 7: Changes in Industrial Composition among Workers Aged 55-79 in South Korea, 2005-2014 (%)

2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5

55-79 years old

Agriculture, Forestry & Hunting (A) 33.6 31.9 29.1 28.5 27.4 24.4 23.5 21.9 21.2 19.2 Mining (B) 0.1 0.1 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.1 Manufacturing (C) 8.7 8.4 8.6 9.2 8.5 9.1 9.1 9.2 9.2 10.1 Construction (F) 6.4 6.0 6.4 6.4 5.7 6.8 6.9 7.0 7.2 7.5 Wholesale & Retail Trade, Hotel &

Restaurants (G,I) 19.2 20.0 20.5 20.0 20.1 18.9 19.6 19.6 19.2 19.5

Business, Personal, Public Service & Others (E,L~U)

25.3 26.7 28.6 28.8 30.7 32.3 31.4 32.9 33.3 33.5

Electricity, Transport, Communication & Finance (D,H,J,K)

6.9 7.0 6.7 7.1 7.5 8.4 9.4 9.3 9.8 10.1

55-64 years old

Agriculture, Forestry & Hunting (A) 22.1 20.5 18.2 17.8 17.2 15.0 13.8 13.1 12.6 11.4 Mining (B) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Manufacturing (C) 10.9 10.4 10.4 11.1 10.5 11.3 11.0 11.3 11.6 12.8 Construction (F) 8.2 8.0 8.6 8.8 7.5 8.9 9.1 9.1 9.2 9.2 Wholesale & Retail Trade, Hotel &

Restaurants (G,I) 20.8 22.4 22.5 21.0 22.2 20.8 21.6 21.1 20.7 21.3

Business, Personal, Public Service & Others (E,L~U)

29.2 29.8 31.3 32.0 32.9 33.6 32.8 34.0 34.1 33.7

Electricity, Transport, Communication & Finance (D,H,J,K)

8.7 8.8 9.0 9.3 9.5 10.3 11.7 11.3 11.6 11.6

278

2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5

65-79 years old

Agriculture, Forestry & Hunting (A) 55.0 52.6 48.8 48.0 46.5 42.7 43.1 39.6 38.1 35.4 Mining (B) 0.0 0.1 0.1 0.1 0.1 0.0 0.0 0.0 0.0 0.0 Manufacturing (C) 4.5 4.9 5.4 5.9 4.6 4.9 5.3 5.1 4.6 4.7 Construction (F) 2.9 2.4 2.4 2.2 2.2 2.5 2.5 2.7 3.2 4.1 Wholesale & Retail Trade, Hotel &

Restaurants (G,I) 16.1 15.6 17.0 17.9 16.2 15.4 15.7 16.6 16.3 15.9

Business, Personal, Public Service & Others (E,L~U)

18.2 20.9 23.7 23.0 26.6 29.7 28.5 30.7 31.7 32.9

Electricity, Transport, Communication & Finance (D,H,J,K)

3.4 3.7 2.6 3.0 3.9 4.7 4.9 5.4 6.1 7.0

Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], Every May in Each Year, Author’s calculation Note: Industry groups are based on the 9th Korean Standard Industrial Classification (KSIC) [제 9차 개정 한국표준산업분류]. D: electricity, gas, steam and water supply, E: sewerage, waste management, materials recovery and remediation activities, G: wholesale and retail trade, H: transportation, I: accommodation and food service activities, J: information and communication, K: financial and insurance activities, L: real estate activities and renting and leasing, M: professional, scientific and technical activities, N: business facilities management and business support services, O: public administration and defence, compulsory social security, P: education, Q: human health and social work activities, R: arts, sports and recreation related services, S: membership organisations, repair and other personal services, T: activities of households as employers, undifferentiated goods- and services-producing activities of households for own use, U: activities of extraterritorial organisations and bodies.

279

Appendix 8: Changes in Occupational Composition among Workers Aged 55-79 in South Korea 2005-2014 (%)

2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5

55-79 years old

Clerks 2.6 2.8 3.0 2.8 3.5 3.3 3.6 3.9 4.4 5.1 Service & Sales Workers 19.0 18.7 20.0 19.3 18.9 18.1 19.5 19.8 19.6 20.6 Skilled Agricultural, Forestry &

Fishing Workers 31.3 29.9 27.3 26.7 25.2 22.5 21.6 20.5 19.7 17.8

Craft and Equipment, Machine Operating & Assembling Workers

14.2 14.9 15.2 16.4 16.5 18.3 19.3 19.6 20.3 21.0

Elementary Workers 25.1 26.0 26.6 25.9 27.3 29.2 26.9 27.5 27.6 26.7

55-64 years old

Managers & Professionals and Related Workers

9.7 9.6 9.9 10.8 10.3 10.5 11.0 10.6 10.3 10.9

Clerks 3.3 3.4 3.7 3.3 4.6 4.4 4.6 5.1 5.7 6.2 Service & Sales Workers 22.3 22.6 23.4 22.3 22.3 21.3 23.2 22.9 22.6 23.9 Skilled Agricultural, Forestry &

Fishing Workers 20.7 19.3 17.1 16.7 15.9 13.8 12.9 12.3 11.9 10.6

Craft and Equipment, Machine Operating & Assembling Workers

18.6 19.5 20.4 21.4 21.5 23.5 24.2 24.9 25.4 25.8

Elementary Workers 25.4 25.6 25.5 25.5 25.5 26.4 24.0 24.1 24.2 22.6

280

2005. 5 2006. 5 2007. 5 2008. 5 2009. 5 2010. 5 2011. 5 2012. 5 2013. 5 2014. 5

65-79 years old

Managers & Professionals and Related Workers

4.1 4.2 4.3 5.7 5.2 4.8 5.4 5.2 4.7 4.5

Clerks 1.4 1.6 1.8 1.8 1.6 1.4 1.4 1.4 1.9 2.7 Service & Sales Workers 13.1 11.9 13.7 13.9 12.5 11.9 11.9 13.6 13.6 13.8 Skilled Agricultural, Forestry &

Fishing Workers 51.0 49.1 45.7 44.6 42.7 39.3 39.2 36.6 35.1 32.6

Craft and Equipment, Machine Operating & Assembling Workers

6.1 6.4 6.0 7.3 7.3 8.2 9.2 8.9 10.1 11.0

Elementary Workers 24.4 26.8 28.5 26.7 30.6 34.5 32.9 34.4 34.5 35.3 Source: The National Statistical Office of Korea, Supplementary Results (for the Old Population) of the Economically Active Population Survey [경제활동인구조사 (고령층) 부가조사], Every May in Each Year, Author’s calculation

281

Appendix 9: Changes in Monthly Wage, Hours Worked and Hourly Wage by Age Group in South Korea, 2005-2014 (\, hrs)

Monthly wage (\) Weekly hours worked (hrs) Hourly wage (\) Age 30-49 50-59 60-64 65+ 30-49 50-59 60-64 65+ 30-49 50-59 60-64 65+

2005. 8 1,821,000 1,651,000 1,077,000 728,000 47.4 48.1 50.2 46.0 9,316 8,465 5,554 4,118 2006. 8 1,879,000 1,742,000 1,154,000 719,000 46.6 47.7 48.5 43.9 9,704 8,982 6,067 4,428 2007. 3 1,942,000 1,830,000 1,167,000 801,000 46.0 46.6 47.5 44.7 10,193 9,549 6,092 4,492 2007. 8 1,985,000 1,858,000 1,213,000 788,000 46.2 47.0 47.7 43.0 10,323 9,647 6,450 4,603 2008. 3 2,042,000 1,924,000 1,219,000 767,000 45.6 46.0 47.6 42.5 10,749 10,150 6,351 4,558 2008. 8 2,090,000 1,951,000 1,247,000 788,000 45.4 46.2 47.0 41.1 11,046 10,282 6,469 4,917 2009. 3 2,093,000 1,944,000 1,231,000 782,000 44.5 45.3 47.2 39.7 11,193 10,328 6,397 5,057 2009. 8 2,112,000 2,001,000 1,220,000 751,000 44.1 44.9 45.9 38.0 11,388 10,761 6,488 5,070 2010. 3 2,216,000 2,040,000 1,394,000 762,000 43.9 44.6 45.5 37.3 11,986 10,989 7,513 5,212 2010. 8 2,224,000 2,058,000 1,447,000 774,000 43.8 44.6 44.2 36.4 12,049 11,054 8,029 5,270 2011. 3 2,316,000 2,095,000 1,491,000 806,000 43.5 44.1 44.4 37.6 12,627 11,345 8,181 5,459 2011. 8 2,339,000 2,114,000 1,522,000 821,000 43.1 44.0 43.9 35.8 12,845 11,464 8,287 5,778 2012. 3 2,430,000 2,198,000 1,490,000 872,000 42.7 43.6 44.1 36.5 13,470 12,024 8,185 5,756 2012. 8 2,430,000 2,218,000 1,418,000 876,000 42.5 43.4 43.5 35.2 13,481 12,158 7,754 5,835 2013. 3 2,503,000 2,277,000 1,399,000 897,000 42.2 43.2 42.5 35.6 13,927 12,564 7,839 5,970 2013. 8 2,504,000 2,348,000 1,524,000 901,000 42.2 43.1 42.6 34.5 13,934 12,969 8,767 6,111 2014. 3 2,562,000 2,408,000 1,581,000 893,000 42.2 43.1 42.0 33.7 14,284 13,289 9,041 6,230

Source : The National Statistical Office of Korea, Supplementary Results (by Type of Employment) of Economically Active Population Survey [경제활동인구조사 (근로형태별) 부가조사], recited from Nam (2014), pp.15-16

282

Appendix 10: Changes in the Proportion of Older Employees Earning less than 50 % of the Median Wage

50-54 years old 55-59 years old 60-64 years old 15-64 years old

1987 5.69 6.43 6.64 6.64 1988 5.75 7.42 11.89 6.42 1989 7.79 9.51 12.29 6.67 1990 7.1 9.05 12.23 6.63 1991 6.26 8.42 15.58 6.11 1992 4.88 6.0 10.14 4.55 1993 9.18 11.2 19.01 8.45 1994 10.12 12.58 20.14 8.28 1995 9.54 13.19 18.89 7.93 1996 8.45 13.64 20.83 6.81 1997 9.09 14.01 20.26 7.09 1998 10.51 16.24 23.1 7.67 1999 10.98 18.05 22.25 8.3 2000 13.12 21.99 30.92 10.23 2001 13.63 26.08 40.02 10.51 2002 14.7 25.68 42.18 11.27 2003 15.72 24.08 42.33 11.57 2004 15.2 23.3 42.1 11.44 2005 15.97 25.82 43.32 12.18 2006 16.95 28.71 46.48 13.98 2007 17.82 27.38 46.43 15.07 2008 14.27 19.47 27.34 10.13 2009 13.33 18.44 24.72 9.96 2010 13.9 17.34 25.02 10.13 2011 13.96 19.41 27.82 10.48 2012 13.17 17.74 27.9 10.02

Source: Survey on Labor Conditions by Type of Employment [고용형태별 근로실태조사] raw data, each year; quoted in Yoo, H-J, Kim, K-H and Oh, B-D, (2014), p. 34.

283

Appendix 11: Methods and Variables Used in Quantitative Analyses

Effects of MW Method Variables

Distribution of wages

Kernel density estimates Log hourly wage minus log minimum wage for each employee aged 55 and older in each year

OLS & Fixed-effects models

● Dependent Variable: 1) The changes in the 10th, 25th, 50th, 75th, and 90th percentiles of log hourly wages among employees aged 55 and older

for each region 2) The changes in ratios between the 90th and 10th, the 90th and 25th, the 90th and 50th, and the 50th and 10th percentiles of

log hourly wages among employees aged 55 and older for each region

● Independent Variable: - The fraction affected, the proportion of employees aged 55 and older who earned less than a new minimum wage in the

previous year to all employees of the same age group for each region - The fraction newly affected, the proportion of employees aged 55 and older who were paid between an old and a new

minimum wage in the previous year to all employees of the same age group for each region

● Control Variable: The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid work to all individuals of the same age group for each region

Employment OLS & Fixed-effects models

● Dependent variable: 1) The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid

work to all individuals of the same age group for each region 2) The changes in the proportion of those aged 55 and older who are neither employed, self-employed, nor engaged in

unpaid work to all individuals of the same age group for each region

● Independent variable:

284

- The fraction affected - The fraction newly affected

Multilevel discrete-time event history model for competing risks

● Dependent variable: Individuals’ transition from being employed to being unemployed or to being in other types of employment

● Independent variable: - Minimum wage application or not * log hourly real minimum wage - Duration spent in being employed (which was centred by variable, year, by which the value, zero indicated the mean of

the duration for each year) - Square of duration

● Control Variable: - Sex - age - Level of education obtained

Distribution of family earnings

Kernel density estimates Log annual family earnings per capita for each older employee’s household minus log 60 per cent of the median annual family earnings per capita for all employees’ households in each year

OLS & Fixed-effects models

● Dependent Variable: - The changes in the 10th, 50th, and 90th percentiles of log annual family earnings per capita among employees aged 55

and older for each region - The changes in ratios between the 90th and 10th and the 50th and 10th percentiles of log annual family earnings per capita

among employees aged 55 and older for each region

● Independent Variable: - The fraction affected - The fraction newly affected

285

● Control Variable: The changes in the proportion of employees aged 55 and older who are neither self-employed nor engaged in unpaid work to all individuals of the same age group by region

Exit from working poor

Multilevel discrete-time event history model for competing risks

● Dependent variable: Individuals’ transition from being poor while being employed to getting out of poverty while staying employed, to being

unemployed, or to being in other types of employment including self-employment or non-wage family business work

● Independent variable: - Minimum wage application or not * log hourly real minimum wage - Duration spent in being working poor (which was centred by variable, year, by which the value, zero indicated the

mean of the duration for each year) - Square of duration

● Control Variable: - Sex - age - Level of education obtained - Householder or not - Number of family members

286

Appendix 12: Adjustments to Minimum Wage Policy and Major Political Economic Developments in South Korea, 1986-2015

Year Adjustments to Minimum Wage Policy Political Economic Developments 1986 The Minimum Wage (MW) Act enacted 1987 MW came into effect, covering only manufacturing 1988 MW extended into mining and construction (10

employees or more)

~ 1998 Korean Financial Crisis (IMF bailout programme)

~ 2000 MW extended into all workplaces with one employees

or more

~ 2003 The credit card lending crisis in Korea Roh, Moo-Hyun Government

- Monetary market liberalisation - Expansion of trade liberalisation

through FTA - Deregulation of Chaebols (Korean

conglomerates) - ‘The subordinate neoliberal approach’

to labour ▪ Wage cut through shortened working

hours ▪ Labour market flexibility ▪ Restriction on civil servant unions ▪ Expansion of non-regular work ▪ Exclusion of labour from the policy

making process

2004 Reduction of statutory weekly working hours

(Firms with 1,000 full-time employees and more; financial and insurance businesses; government- funded organisations)

2005 Income distribution ratio added into the statutory minimum wage fixing criteria

Reduction of statutory weekly working hours (Firms with 300-1,000)

2006 Reduction of statutory weekly working hours (Firms with 100-300)

2007 Introduction of subminimum rate for surveillance or intermittent work (30% less than normal minimum wage rate)

Reduction of statutory weekly working hours (Firms with 50-100)

2008 Subminimum rate for surveillance or intermittent work (20 % less than normal minimum wage rate)

Global Financial Crisis Reduction of statutory weekly working hours (Firms with 20-50)

Lee, Myung-Bak Government - Government-driven, neoliberal

approach to economic policy

287

2009 ▪ Tax relaxation in income, corporate, and real estate

▪ Lowering interest rates & devaluating Korean currency

▪ Relaxation of regulations as regards monopoly and fair trade

▪ Korean New Deal project - Authoritarian neoliberal labour policy

▪ Flexible labour market ▪ Weakening trade unions through

legal changes ▪ Direct job creation & employment

promotion subsidies ▪ Deregulation of employment rules &

flexibility of working hours

2010 2011 Reduction of statutory weekly working hours

(Firms with below 20) 2012 Subminimum rate for surveillance or intermittent

work (10% less than normal minimum wage rate)

2013 2014 2015 Application of normal minimum wage rate to

surveillance or intermittent work

Note: indicates the period which the rates fixed under the Roh government were applied, and indicates the period which the rates fixed under the Lee government were applied.

288

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bibliography/The Effects of the Minimum Wage on.pdf

한국경제학보 제21권 제1호 The Korean Journal of Economics Vol. 21, No. 1(Spring 2014)

The Effects of the Minimum Wage on

Poverty in Korea*

1) Jiwon Seo**․Jinook Jeong***

Abstracts The effects of the minimum wage policy have been controversial

in Korea with an increasing gap between the rich and the poor

since the Asian financial crisis. Most studies in Korea have

focused on the disemployment effects of higher minimum wages

and the negative effects of the policy in Korea. This study looks

at the possible effects of the minimum wage policy on reducing

poverty rates, as measured by the number of people who fall

under the defined poverty threshold. We utilize a binary probit

model to analyze the Korean Labor and Income Panel Study data

and find that a higher hourly minimum wage can reduce the

probability of an individual falling under the poverty line.

KRF Classification : B030400, B030503

Keywords : Minimum Wage, Poverty, Binary Panel Regression

Ⅰ. Introduction

As is reviewed by Kennan (1995), the effects of minimum wages

are multilateral and elusive. Most previous empirical studies on the

* The authors are members of ‘Brain Korea 21’ Research Group of Yonsei

University. This work was supported by the National Research Foundation of

Korea Grant funded by the Korean Government (NRF-2013S1A3A2053586).

** Department of Economics, Washington University, e-mail: [email protected]

*** Corresponding Author, Professor, School of Economics, Yonsei University,

e-mail: [email protected]

84 Jiwon Seo․Jinook Jeong

minimum wage policy have focused on its negative effects such as

the reduction of employment opportunities for young adults or the

reduction of employment benefits and cost of training workers. In

fact, in the United States, it has been shown that high school dropout

rates have increased as a result of a minimum wage hike.1) These

studies have continued since the 1980s and more recent studies

utilizing panel data have corroborated such previous results.

In 2011, the Minimum wage Council of Korea raised the minimum

wage by 5.1 percent to 4,320 won (about $3.9) per hour. Past studies

indicate that raising minimum wages may in fact result in employers

reducing their labor force, either downgrading minimum wage

earners to the informal sector or just forcing them to unemployment.

There have been many studies on the disemployment effects of

raising the minimum wage level in Korea. However, not much

evidence is shown to prove the poverty alleviating effects of the

policy. With a rising “working poor” class, there are greater

implications for policies like the minimum wage law. Immediately

after the 1997 Asian financial crisis, Korea’s poor class expanded to

include many irregular workers and those in private businesses.

Therefore we attempt to analyze the effects of the minimum wage

policy on poverty in Korea and focus on whether it can reduce the

probability of an individual lying under the poverty line.

Ⅱ. Survey of the Literature

The effects of minimum wage policies have been primarily

explained by economic theories based on the Harris-Todaro model. A

minimum wage hike in the formal sector will reduce the labor force

and push the unskilled laborers into the informal market. With a

1) Anderson and Rawe (2009).

The Effects of the Minimum Wage on Poverty in Korea 85

larger labor supply in the informal market, wages will fall. On the

other hand, since expected wages in the formal sector are higher,

workers laid off by the raise in the minimum wage have an incentive

to stay in the formal sector and search for a different job. It also

provides workers in the informal sector with incentives to enter the

formal sector. As a result, unemployment in the formal sector may

rise. Therefore, the overall impact of a minimum wage increase is

ambiguous. According to Addison and Blackburn (1999), “while some

workers gain, others lose, with the benefits of the minimum wage

not being spread out evenly across low-income workers.”

The effects of the minimum wage on the distribution of family

incomes are also uncertain for similar reasons that a minimum wage

hike produces both losers and gainers. In fact, the problem becomes

more complicated when we want to analyze the effects of raising the

minimum wage on family income distribution as opposed to

earnings because other unpredictable factors come into play, as

Addison and Blackburn (1999) suggest. For example, with a rise or

fall in family earnings due to the effects of the wage hike, other

members of the family not affected by the minimum wage may

choose to change their work status, by either leaving their jobs or

finding one, depending on whether the member was previously

working or not working, respectively.

In the United States, dozens of simulation studies have been done

in the 1990’s on the effects of this policy, both including and

disregarding disemployment effects. Most of them have suggested

that minimum wages do reduce poverty. One of the first actual

empirical studies done on this topic was by Card and Krueger (1995).

They did regression analyses with state level data and concluded that

there is “a modest poverty-reducing effect of the minimum wage”

(Card and Krueger). They also claimed that if the demand for labor

in the formal sector is inelastic, wages in both sectors will actually

86 Jiwon Seo․Jinook Jeong

rise. Addison and Blackburn (1999) particularly focused their analysis

on three groups of workers most likely to be low-wage workers:

teenagers (age 16 to 19), young adults (age 20 to 24) and junior-high

dropouts. They found that a 25 percent increase in the minimum

wage lowers the poverty rate of workers in the three groups by 9%.

Despite the positive implications of early studies, there remained a

lot of skepticism with regards to the poverty alleviating effects of

higher minimum wages. For instance, in most developed countries,

minimum wage earners are teenagers, as is the dominant case in the

United States. It has been shown that they tend to be children of

high-income families and not members of poor households. As a

result, raising the minimum wage only increases total income of

high-income households and does little to redistribute income across

households. In addition, it is difficult to enforce minimum wage laws

in the informal sector. However, in developing countries, most of the

lowest-income workers tend to either work in the unregulated and

informal sectors or engage in private family business, and in effect

receiving none of the benefits of a higher minimum wage.

Neumark and Wascher (2002) did a more rigorous empirical study

that captured both the disemployment effect and the income effect of

the minimum wage hike. They showed that over a one-to-two-year

period, raising the minimum wage increases the probability of poor

families escaping poverty. However, the study also showed that the

probability of non-poor families falling into poverty increases as

families that were initially not poor began to receive lesser wages.

Nevertheless, they found that the incomes of families that remain

below the poverty line do rise from raising the minimum wage level.

Additionally, other studies look at the different effects the

minimum wage has on developed and developing countries. The

“World Development Report” of 1995 provides evidence that the

minimum wage policy is ineffective in low-income countries because

The Effects of the Minimum Wage on Poverty in Korea 87

both employers and employees are likely to either ignore or be

unaware of the minimum wage law. However, studies on South

America in recent years including Lustig and McLeod (1996) showed

that in certain areas of South America and Asia, higher minimum

wages have a significant negative correlation with poverty rates; an

increase or decrease in the minimum wage reduces or increases the

poverty rate, respectively. Although minimum wage policies could

reduce efficiency and competitiveness especially in low income

countries, and as Lustig and McLeod (1996) have shown, raise

unemployment by increasing the minimum wage, the overall

conclusion is that in the short run, higher minimum wages do help

the poor. Morely (1995) and Gindling and Terrell (2008) have also

made similar conclusions through data analysis. These results

contrast with earlier studies in developed countries such as the

United States that proved that wage hikes have been ineffective in

protecting the poor class.

In Korea, studies reflecting on the effectiveness of the minimum

wage have only begun to emerge recently, with most of them

focusing on the disemployment effects. One of the first empirical

studies done by Kim and Kim (2004) analyzes data from 1988-2004

and concludes that raising the minimum wage in Korea has had a

positive effect for the following groups of people: age 24-54, age 54

years and older, and women. Similar results have been shown with

different data. Lee et al. (2008) use panel data analysis to show that

the minimum wage has a negative employment effect for teenagers

and old-age workers while it has a positive effect on prime-age

workers (age 25-54).

There are very few studies that address the poverty-alleviating

effects of the minimum wage in Korea. Most of them are simple data

analysis or simulation analysis and they conclude that the poverty-

reduction effects are modest because the level of the minimum wage

88 Jiwon Seo․Jinook Jeong

is too low to affect low-income workers, and there are still too many

low-paying jobs that ignore the minimum wage law. However, Lee

(2009) shows that with a higher level of the minimum wage and

eligible-recipients-to-total-worker ratio, and a smaller disemployment

effect, poverty rates can be lowered.

Ⅲ. Minimum Wages and Poverty in Korea

The issue of rising poverty rates began to surface in Korea after

the Asian financial crisis in 1997 when major structural reforms were

implemented. People were laid off in massive scales after which

more than 57 percent of laborers became ‘non-regular’ or low income

workers.2) With the unexpected rise in the low income workers, the

government began to reinstate and enforce a more effective

minimum wage policy.

Although Korea passed the minimum wage law in 1986, it went

into effect in 1988. In the beginning, the law applied only to workers

in designated industries of certain sizes. In 2001, the law was

expanded to include all workers in all industries. Figure 1 shows the

growth rate of minimum wages in comparison to the growth rate of

the nominal GDP from 1989 to 2010. Although the growth rate of the

minimum wage in 1989 was 29.7%, it gradually decreased through

the 1990’s, reaching 2.7% in 1999. In fact, there are many years in

which the rate of minimum wage increase falls short of the GDP

growth rate. Additionally, even though the growth rate of the

minimum wage has been rising in the 2000’s, the highest rate spikes

were in 2001 and 2005 of 16.6% and 13.1% respectively.

2) ‘Non-regular’ workers refer to the workers on a short-term contract (usually

yearly contract), while ‘regular’ workers are on a longer-term or permanent

contract. Although non-regular workers are full-time workers, their job

security is much more vulnerable than regular workers.

The Effects of the Minimum Wage on Poverty in Korea 89

【Figure 1】Growth Rate of Minimum Wages and GDP (%), 1989-2010

Korea’s minimum wage falls short of the minimum cost of living

that is calculated and readjusted every year by the Ministry of Health

and Welfare. The index was first introduced in 1999 in order to serve

as the basis for social welfare policies and subsidies and has been

released every year in August. In Korea, a national survey of the

living standard of the general public is taken every three years and

the index is calculated on a market basket basis. Approximately

20,000 households in 481 regions are included and the index is

produced by the price levels of goods included in the "basket" that

are considered the absolute necessities of livelihood and they are

weighted by the degree of use. In the two years in which the survey

is not taken, the index is estimated through the increase rate of the

consumer price index.

The minimum living expenses are categorized into six different

levels, each representing the bare minimum needed per household

with one to six members. We present, in Figure 2, only four of the

six levels as compared with the minimum wage that is converted

into a monthly figure. Although the monthly minimum wage is

higher than the minimum living expenses for a household of 1

90 Jiwon Seo․Jinook Jeong

person, it falls short of the amount that is needed for households of

2 or more people.

【Figure 2】Monthly Minimum Wage and Minimum Living Expenses

Note: 1,000 Korean Won, 2000-2011.

Ⅳ. Methodology and Data

We use the Korean Labor & Income Panel Study (KLIPS) that is

annually released by the Korea Labor Institute (KLI). It is an overall

survey of the labor market and the income situation of 5,000

households and individuals in Korea. It is the first domestic panel

study on the labor market and the only longitudinal survey

conducted on the national level. Data have been released since 1998

with11years’ worth of data up to 2009. However, because data for

annual income is not consistent across the board, we have decided to

analyze only data from year 6 (2003) to year 11 (2008).

Our objective is to analyze the effects of the minimum wage policy

on “the poor”, as is defined by the official minimum cost of living,

and to estimate the effects of a minimum wage increase on the

The Effects of the Minimum Wage on Poverty in Korea 91

probability that an individual will be able to escape from poverty.

We employ the following panel probit regression:3)

      ′       (1)

The variable  indicates whether individual  at time  is

poor or not. It takes on a value of 1 if the individual’s annual

income is less than the minimum cost of living, considered to be

“poor”, and a value of 0 otherwise.  is the official hourly

minimum wage that is annually announced by the Minimum Wage

Council.

Although there is no official poverty line in Korea, “absolute

poverty” is usually referred to those living under the level of the

minimum cost of living made official by the government every year.

In our study, we categorize those earning less than the minimum

cost of living for a household of 1,2,3, and 4 as poor (  )

and those that earn above as non-poor (  ) for each year.

 contains a set of individual specific variables including age,

age squared, years of schooling, years of schooling squared, and

weekly working hours, in addition to dummy variables that specify

location of residence, sex, health condition. Additionally,  is a

macro-level covariate, e.g., growth rate of real GDP included to

control for the economic climate. We use an individual random

effects probit model to estimate the probability of being poor with

respect to the change in minimum wages.

3) The model is similar to the one used by Gindling and Terrell (2008).

92 Jiwon Seo․Jinook Jeong

【Table 1】Descriptive Statistics of Variables

Description Mean

(All Surveyed)

Mean

(Workers Only)

Age 44.99

(0.0856)

41.12

(0.1225)

Age-squared 2153.63

(8.2028)

1788.77

(10.7534)

Sex 1-Male, 0-Female 0.71

(0.0034)

0.71

(0.0056)

Education Years of schooling 11.95

(0.0277)

12.53

(0.0406) Education-

squared

156.37

(0.6240)

167.67

(0.9579)

Location4) 1-Urban, 0-Non urban 0.52

(0.0038)

0.56

(0.0062)

Weekly Working

Hours

49.10

(0.1342)

48.64

(0.1551)

Working 1-Currently working,

0-Otherwise

0.97

(0.0012) -

Health Condition 1-Excellent/Good, 0-Poor 0.61

(0.0037)

0.67

(0.0058)

ln (Minimum

wage) Log of real minimum wage

7.92

(0.0010)

7.92

(0.0010)

GDP growth Growth rate of real GDP (%) 4.2

(0.0081)

4.2

(0.0081)

Full-time 1-Full time, 0-Part time - 0.97

(0.0019)

Regular work 1-Regular, 0-Irregular job - 0.82

(0.0047)

Work status 1-Consistently working,

0-Temporary job/Daily worker -

0.89

(0.0039)

Job type 1-Private company,

0-Public/Government related -

0.89

(0.0039)

Size of

workplace5) 1-Large and Mid-sized firm,

0-Small business -

0.55

(0.0062)

P1 1-Poor, 0-Non poor 0.05

(0.0016)

0.01

(0.0015)

P2 1-Poor, 0-Non poor 0.13

(0.0025)

0.07

(0.0031)

P3 1-Poor, 0-Non poor 0.21

(0.0031)

0.15

(0.0044)

P4 1-Poor, 0-Non poor 0.31

(0.0035)

0.24

(0.0053)

Note: Standard errors are in parentheses.

4) Urban includes the seven major cities of Korea: Seoul, Busan, Daegu, Daejeon,

Incheon, Gwangju, and Ulsan. All other areas were classified as non urban.

5) Companies with 50 or fewer employees are considered small businesses. This

simplified classification is based on that as defined by the Minor Enterprise

Basic Law of Korea.

The Effects of the Minimum Wage on Poverty in Korea 93

Table 1 shows the sample means and standard deviations of the

variables for the entire sample and for the workers sample. We find

that in our analysis, the average age is 45, there are more men in the

sample, the average number of years of schooling is 12, and the

proportion of urban-to-rural dwellers is nearly equal. Also, most of

the population is currently working with an average weekly working

hour of 49. The average age of the ‘workers only’ sample is slightly

lower at 41 and the weekly working hours are slightly less. Most

workers are full-time, regular workers, while the ratio of large-to-

small firm workers is approximately 1:1.

【Table 1-1】Descriptive statistics by year

Year 1 Year 2 Year 3 Year 4 Year 5 Year 6

Age 42.49 43.49 44.49 45.49 46.48 47.49

Age-squared 1932.22 2018.2 2106.22 2195.88 2287.43 2381.47

Sex 0.71 0.71 0.71 0.71 0.71 0.71

Education 11.992 11.97 11.98 12.01 11.90 11.92

Education-squared 156.20 156.10 156.71 157.50 155.50 156.20

Location 0.52 0.52 0.52 0.52 0.52 0.51

Weekly Working

Hours 51.02 50.95 49.07 48.75 48.52 46.29

Working 0.98 0.98 0.98 0.98 0.98 0.94

Health Condition 0.61 0.59 0.58 0.61 0.62 0.62

ln (real MW) 7.73 7.79 7.89 7.95 8.05 8.09

GDP growth 2.9 4.9 3.9 5.2 5.5 2.8

P1 0.0560 0.0462 0.0533 0.0513 0.0451 0.0519

P2 0.1215 0.1212 0.1222 0.1300 0.1273 0.1310

P3 0.2074 0.2155 0.2135 0.2077 0.1952 0.2430

P4 0.3112 0.3248 0.3174 0.3007 0.2936 0.2994

Ⅴ. Empirical Results

Our first analysis included data of 2,946 individuals over the six

year period between 2003 and 2008. Table 2 summarizes the results

94 Jiwon Seo․Jinook Jeong

of our analysis for the effects of a rise in the minimum wage under

different poverty thresholds: P1, P2, P3, and P4. Each defines the

poverty threshold by the monthly minimum cost of living for

families of one, two, three, and four members, respectively, in a

given year.

The estimated coefficients of  , which is the variable of

interest, is negative and statistically significant. Therefore, a rise in

the minimum wage will decrease the probability that someone will

be under the poverty threshold. This result is consistent with many

of the previous studies done in other developing countries and is

especially meaningful for the Korean case because it has faced

criticism in recent years for its ineffectiveness. Although the

minimum wage policy has contributed to the rise in wages for low

income workers in the 1980s when it was first introduced, it has been

negatively evaluated for not being effective in alleviating poverty and

raising the living standards for low wage workers since the structural

reforms of the labor market after the financial crisis in 1997.6) The

results of this study show that the higher the minimum wage, the

poverty population tends to decrease. The coefficients are negative

through all four levels of poverty.

Age, sex, weekly working hours, and current health conditions are

all significant at least the 90%confidence level. The coefficients of

these variables are in line with previous studies done with Korean

data.

First, our results show that the older population tends to be

non-poor. Although it is true that Korea boasts the highest elderly

poverty rate, the data that we used did not include a large elderly

population, with the average age of our data being 45, as can be seen

in Table 2. Taking this into consideration, it falls in line with the

results of previous U.S. studies that young adults who make up most

6) For example, Jeong (2006).

The Effects of the Minimum Wage on Poverty in Korea 95

of the labor market will also have the higher probability of falling

into poverty.

【Table 2】Estimated Coefficients of Binary Probit Model with Random

Effects (All Surveyed)

P1 P2 P3 P4

Intercept 9.5830***

(1.5358)

7.6692***

(1.1946)

8.3640***

(1.0889)

15.6508***

(1.0980)

Age -0.1851***

(0.0182)

-0.2007***

(0.0172)

-0.2599***

(0.0185)

-0.2915***

(0.0204)

Age-squared 0.0022***

(0.0002)

0.0025***

(0.0002)

0.0032***

(0.0002)

0.0036***

(0.0002)

Sex -0.7429***

(0.0795)

-1.0291***

(0.0724)

-1.4633***

(0.0771)

-1.7430***

(0.0858)

Education -0.0544

(0.0336)

-0.0546

(0.0341)

-0.0486

(0.0372)

-0.0676

(0.0445)

Education-

squared

-0.0018

(0.0016)

-0.0031**

(0.0016)

-0.0050***

(0.0017)

-0.0064***

(0.0020)

Location -0.0343

(0.0719)

-0.0422

(0.0639)

-0.0155

(0.0650)

-0.0552

(0.0683)

Weekly Working

Hours

-0.0138***

(0.0017)

-0.0152***

(0.0014)

-0.0118***

(0.0013)

-0.0093***

(0.0013)

Working 0.3430***

(0.1319)

0.4237***

(0.1083)

0.4244***

(0.1059)

0.2303*

(0.1085)

Health Condition -0.0562

(0.0562)

-0.1233***

(0.0431)

-0.1892***

(0.0394)

-0.1456***

(0.0383)

ln (MW) -0.8533***

(0.1925)

-0.4937***

(0.1493)

-0.2839**

(0.1354)

-1.0115***

(0.1348)

GDP growth -0.0369*

(0.0221)

0.0116

(0.0168)

-0.0646***

(0.0151)

0.0146

(0.0147)

Note: *** signifies significance at the 1% level; ** signifies significance at the

5% level; and * signifies significance at the 10% level. Standard errors

are indicated in parentheses.

Second, our variable for sex had a mean value of 0.71 indicating

that more men were included in the study. We also show that men

have a smaller probability than women of being poor. This is also

consistent with the concept of ‘feminization of poverty’ which was

introduced in the 1980s in the United States to explain the

phenomenon of the majority of the poverty class being women.

96 Jiwon Seo․Jinook Jeong

Although the proportion of female workers in Korea has drastically

increased in recent years, the labor market is still discriminatory

against women in terms of wage inequality. In 2004, the average

monthly wage of women was 63.15% that of men (Shin, 2007).

Therefore, the economic status of women has not improved and has

actually led more women to fall into poverty

Third, although statistically insignificant, we find that a person

with more years of schooling will less likely fall into poverty. Higher

education leads to better chances of receiving higher wages,

improving one’s chances of becoming poor. We also show that with

more weekly working hours and better health conditions, a person

will more likely be above the poverty line.

【Table 3】Marginal Effects of Binary Probit Model with Random Effects

(All Surveyed)

P1 P2 P3 P4

Age -0.0016***

(0.0003)

-0.0082***

(0.0010)

-0.0266***

(0.0024)

-0.0612***

(0.0049)

Age-squared 1.93e-05***

(0.0000)

0.0001***

(1.0e-05)

0.0003***

(3.0e-05)

0.0007***

(0.0001)

Sex -0.0112***

(0.0023)

-0.0726***

(0.0085)

-0.2506***

(0.0193)

-0.4898***

(0.0271)

Education -0.0005

(0.0003)

-0.0022

(0.0014)

-0.0050

(0.0039)

-0.0142

(0.0095)

Education-

squared

-1.54e-05

(1.0e-05)

-0.0001*

(0.0001)

-0.0005***

(0.0002)

-0.0013***

(0.0004)

Location -0.0003

(0.0006)

-0.0017

(0.0026)

-0.0016

(0.0067)

-0.0116

(0.0144)

Weekly Working

Hours

-0.0001***

(0.0000)

-0.0006***

(0.0001)

-0.0012***

(0.0002)

-0.0019***

(0.0175)

Working 0.0020***

(0.0006)

0.0115***

(0.0021)

0.0311***

(0.0056)

0.0425**

(0.0175)

Health Condition -0.0005

(0.0005)

-0.0052***

(0.0020)

-0.0200***

(0.0045)

-0.0311***

(0.0085)

ln (real MW) -0.0075***

(0.0022)

-0.0203***

(0.0064)

-0.0290**

(0.0139)

-0.2124***

(0.0294)

GDP growth -0.0003

(0.0002)

0.0005

(0.0007)

-0.0066***

(0.0016)

0.0031

(0.0031)

Note: *** signifies significance at the 1% level; ** signifies significance at the

5% level; and * signifies significance at the 10% level. Standard errors

are indicated in parentheses.

The Effects of the Minimum Wage on Poverty in Korea 97

As the estimated model is a binary regression, the value of the

estimated coefficient does not directly reflect the marginal effect of

the explanatory variable on the dependent variable. Table 3 shows

the estimated marginal effects for a comparison.

We extricate workers from the entire sample population and

include several factors that are exclusive to only workers: whether

they work full time or part time, regular work or non-regular work,

in a large-to-medium-sized firm or a small firm, and what their

working status and type of work is. We find that the overall results

are not so different from the previous results that include

non-workers.7) We replicate the analysis, using the same model, for

1,102 workers over the six year period with the same poverty

thresholds for P1 through P4. The results are shown in Table 4

below.

We note that the effects of a rise in the minimum wage are smaller

for workers. We find that the minimum wage has a positive effect on

the level of poverty and at a slightly smaller scale than that in the

analysis that included both workers and non-workers. While a 10%

increase of the minimum wage reduces the probability of a person in

the labor force to be poor by 0.075 from Table 3, the coefficients from

Table 4 indicate that the same impact will reduce the probability for

workers to be poor by 0.023.

Age and sex move in the opposite direction of the poverty rate, as

was the case with workers and non-workers, and education remains

an insignificant variable in the analysis. The new variables that were

introduced into our second analysis produced the following results:

full time and regular workers tend to have a lower probability of

falling into poverty as opposed to part time and non-regular

7) Whether to work or not could be an endogenous decision, if the probability

of working is influenced by being poor. If it is, the estimation of workers data

may suffer from the selectivity bias. With such a possibility in mind, we

present the results for comparison purpose.

98 Jiwon Seo․Jinook Jeong

【Table 4】Estimated Results of the Random Effects Binary Probit

Model (Workers Only)

P1 P2 P3 P4

Coefficient Marginal

Effect Coefficient

Marginal

Effect Coefficient

Marginal

Effect Coefficient

Marginal

Effect

Intercept 25.4258***

(4.5977) -

18.7764***

(2.7194) -

22.5946***

(2.3803) -

26.8838***

(2.2625) -

Age -0.1239***

(0.0425)

-0.0001

(0.0001)

-0.2410***

(0.0378)

-0.0013***

(0.0005)

-0.3182***

(0.0408)

-0.0057***

(0.0016)

-0.3301***

(0.0416)

-0.0241***

(0.0045)

Age-

squared

0.0013***

(0.0005)

1.04e-06

(0.0000)

0.0031***

(0.0004)

1.61e-05***

(1.0e-05)

0.0041***

(0.0005)

0.0001***

(2.0e-05)

0.0041***

(0.0005)

0.0003***

(0.0001)

Sex -0.6137***

(0.1770)

-0.0009

(0.0007)

-1.1295***

(0.1482)

-0.0154***

(0.0051)

-1.9612***

(0.1684)

-0.1336***

(0.0248)

-2.3032***

(0.1635)

-0.4074***

(0.0446)

Education -0.0437

(0.0932)

-3.46e-05

(0.0001)

-0.0926

(0.0802)

-0.0005

(0.0005)

-0.2332**

(0.0962)

-0.0042*

(0.0022)

-0.2598**

(0.1039)

-0.0190**

(0.0084)

Education-

squared

-0.0002

(0.0041)

-1.34e-07

(0.0000)

-0.0005

(0.0037)

-2.47e-06

(2.0e-05)

0.0024

(0.0042)

4.31e-05

(0.0001)

0.0008

(0.0045)

0.0001

(0.0003)

Location 0.1934

(0.1626)

0.0002

(0.0002)

0.2916**

(0.1323)

0.0015*

(0.0009)

0.1509

(0.1364)

0.0027

(0.0025)

0.0604

(0.1289)

0.0044

(0.0093)

Weekly

Working

Hours

-0.0131***

(0.0051)

-1.03e-05

(1.0e-05)

-0.0116***

(0.0036)

-0.0001**

(3.0e-05)

-0.0036

(0.0032)

-0.0001

(0.0001)

0.0043

(0.0031)

0.0003

(0.0002)

Full-time -0.7787***

(0.2384)

-0.0026

(0.0028)

-0.6169***

(0.2136)

-0.0081

(0.0063)

-0.4348**

(0.2182)

-0.0133

(0.0112)

-0.6818***

(0.2625)

-0.0878

(0.0536)

Regular -0.6498***

(0.2030)

-0.0012

(0.0011)

-0.5405***

(0.1296)

-0.0051*

(0.0027)

-0.3889***

(0.1225)

-0.0098*

(0.0051)

-0.4221***

(0.1197)

-0.0398

(0.0155)

Health

condition

-0.0188

(0.1417)

-1.51e-05

(0.0001)

-0.1258

(0.0904)

-0.0007

(0.0006)

-0.1826***

(0.0782)

-0.0036*

(0.0019)

-0.0900

(0.0737)

-0.0068

(0.0059)

Work

Status

-0.1944

(0.2141)

-0.0002

(0.0003)

-0.1856

(0.1557)

-0.0012

(0.0014)

-0.2209

(0.1556)

-0.0049

(0.0045)

-0.2916*

(0.1557)

-0.0262

(0.0174)

Job type 0.0254

(0.2518)

1.94e-05

(0.0002)

0.2648

(0.1933)

0.0011

(0.0007)

0.2078

(0.1721)

0.0031

(0.0023)

0.2343

(0.1607)

0.0145*

(0.0088)

Size of

Workplace

-0.2693*

(0.1504)

-0.0002

(0.0002)

-0.2675**

(0.1058)

-0.0015*

(0.0009)

-0.2853***

(0.0305)

-0.0054**

(0.0025)

-0.6537***

(0.0936)

-0.0525***

(0.0113)

ln (MW) -2.8418***

(0.5793)

-0.0023

(0.0019)

-1.7094***

(0.3367)

-0.0090**

(0.0039)

-1.7612***

(0.2869)

-0.0318***

(0.0099)

-2.0927***

(0.2699)

-0.1527***

(0.0301)

GDP

Growth

-0.1345**

(0.0634)

-0.0001

(0.0001)

-0.0259

(0.0370)

-0.0001

(0.0002)

-0.0707**

(0.0305)

-0.0013*

(0.0007)

0.0109

(0.0282)

0.0008

(0.0021)

Note: *** signifies significance at the 1% level; ** signifies significance at the

5% level; and * signifies significance at the 10% level. Standard errors

are indicated in parentheses.

workers, respectively. Although full time workers can also receive

low wages, their work tends to be more stable and their total work

hours tend to far exceed that of part time workers. Also, non-regular

The Effects of the Minimum Wage on Poverty in Korea 99

workers normally receive lower wages and do not get any of the

employment benefits that are reserved for regular workers.

The size variable controls for the differences in the size of the firm

in which the workers work by categorizing the workplace according

to the number of employees: a large-to-medium sized firm of 50 or

more workers and a small sized firm of less than 50 workers. This

variable becomes more and more significant as the poverty threshold

is raised and the estimated coefficient indicates that the larger the

firm, the less likely the worker will be under the poverty line.

Ⅵ. Conclusion

The economics of the minimum wage policy has been a

controversial question internationally since its inception. In Korea, the

issue has received the spotlight with the rise of the poor population

and the increasing gap between the rich and the poor since the Asian

financial crisis. Even though there are a lot of studies already done

on the effects of the policy, there have been difficulties in coming to

an agreement about the orientation of that effect.

Most studies in Korea have focused on the disemployment effects

of higher minimum wages, arguing that income tends to fall in the

informal sector because workers are laid off in the formal sector

increasing the flow of labor into the informal sector. They claim that

those who actually are in need of the benefits of the policy could end

up receiving lower wages. As such, the studies so far have focused

on the negative effects of the policy in Korea.

This study looks at the possible effects of the minimum wage

policy on reducing poverty rates, as measured by the number of

people who fall under the defined poverty threshold. We utilize the

Korean Labor and Income Panel Study data to analyze this effect and

100 Jiwon Seo․Jinook Jeong

find that older generations, the more educated, and men tend to be

less poor than their counterparts while those with poor health

conditions and less weekly working hours tend to be poor. When we

analyze the data of workers only we find that full time and regular

workers tend to be above the poverty line while those working in

large-to-medium sized firms tend to not fall into poverty as easily as

those who work in small firms. However, most importantly, we find

that under both cases (of the entire sample population and of only

workers) the higher the hourly minimum wage, the smaller the

probability of falling under the poverty line. This result is

contradictory to the results of many studies done in developed

countries where there is usually a negative effect or only a very

modest positive effect while it is consistent with those done in

developing countries. The results of our analysis show that the

minimum wage policy can indeed be used as an effective policy to

target the alleviation of poverty and decrease the poverty rate in

Korea.

Received: February 28, 2014. Revised: June 9, 2014. Accepted: June 19, 2014.

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The Effects of the Minimum Wage on Poverty in Korea 103

최저임금제가 빈곤에 미치는 영향

서 지 원*․정 진 욱**

8)

논문초록

아시아 외환위기 이후 한국의 빈부 격차가 심해지면서, 최저임금제도의 효

과와 관련한 연구가 많이 이루어졌다. 대부분의 연구는 최저임금제의 부정적

효과인 실업의 발생에 집중되었다. 이 연구는 최저임금제가 빈곤층을 줄이는

효과가 있는지를 분석한다. 2003-2008 기간의 한국노동연구원 패널자료

(KLIPS)를 임의효과 패널 프로빗 모형으로 추정한 결과, 한국의 최저임금제

는 빈곤층이 될 확률을 낮추는 효과가 있었던 것으로 실증되었다.

주제분류: B030400, B030503

핵심 주제어: 최저임금, 빈곤, 패널 프로빗분석

* Department of Economics, Washington University, e-mail: [email protected]

** 교신저자, 연세대학교 경제학과 교수, e-mail: [email protected]

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__MACOSX/bibliography/._The Effects of the Minimum Wage on.pdf

bibliography/Effects of Minimum Wage Increase on Employment in SMEs in Korea.pdf

Undergraduate Economic Review Undergraduate Economic Review

Volume 16 Issue 1 Article 25

2019

Effects of Minimum Wage Increase on Employment in Small and Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea Medium-sized Enterprises in Korea

Hyunah Kim University of California, Berkeley, [email protected]

Follow this and additional works at: https://digitalcommons.iwu.edu/uer

Part of the Labor Economics Commons

Recommended Citation Kim, Hyunah (2019) "Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea," Undergraduate Economic Review: Vol. 16 : Iss. 1 , Article 25. Available at: https://digitalcommons.iwu.edu/uer/vol16/iss1/25

This Article is protected by copyright and/or related rights. It has been brought to you by Digital Commons @ IWU with permission from the rights-holder(s). You are free to use this material in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This material has been accepted for inclusion by faculty at Illinois Wesleyan University. For more information, please contact [email protected]. ©Copyright is owned by the author of this document.

Effects of Minimum Wage Increase on Employment in Small and Medium-sized Effects of Minimum Wage Increase on Employment in Small and Medium-sized Enterprises in Korea Enterprises in Korea

Abstract Abstract In Korea, where SMEs dominantly provide most of the jobs in labor market, how SMEs respond to an increase in the minimum wage in terms of employment can be a critical factor of job provision in Korean labor market. This paper mainly examines the effect of the minimum wage increase on employment in SMEs in Korea by using a difference-in-differences methodology, and finds that raising the minimum wage has on average significantly reduced total employment in all sizes of SMEs relative to large enterprises. The finding in this paper suggests that raising the minimum wage rate may incur loss of jobs in Korean labor market.

Keywords Keywords minimum wages, SMEs, employment effects, labor economics

Cover Page Footnote Cover Page Footnote Acknowledgements: I would like to thank Professor Frederico Finan for his invaluable assistance and guidance throughout the research and writing process. I would also like to thank my previous GSI, Stephanie Bonds, for encouraging me to move forward with thesis.

This article is available in Undergraduate Economic Review: https://digitalcommons.iwu.edu/uer/vol16/iss1/25

TABLE OF CONTENTS

1. Introduction 2. Literature Review 3. Overview of Employment in Korea 4. Data 5. Model and Results

Effects of raising the minimum wage

5.1 On employment in SMEs: permanent employment, temporary employment, total employment

5.2 On hourly wages of employees in SMEs 5.3 On total working hours of employees in SMEs 5.4 On employment in SMEs by different industries 5.5 Limitations 5.6 Policy Implications

6. Conclusion

1

Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea

Published by Digital Commons @ IWU, 2019

1. INTRODUCTION

Unlike the United States and many other countries, Korea has a single national

statutory minimum wage that changes annually1 and applies to all the regions in

Korea at the time of enforcement. In 2017, President Moon announced an increase

in the Korean minimum wage from 6,470 won (Korean currency) per hour to 7,530

won per hour by 16.38%; this increase was found to be the biggest hike in the

minimum wage in Korea in nearly the last two decades. Along with this

announcement, President Moon has vowed to increase the minimum wage up to

10,000 won by 2020. Whether or not raising the minimum wage will reduce

employment has been controversial amongst researchers across nations, but, in the

case of Korea, where raising the minimum wage is more of a custom that continues

every year, the impact of the minimum wage on employment is considered more

critical. If its effect on employment is found to be negative, it is important for Korea

to consider whether to continue raising the minimum wage as their annual custom.

Another unfamiliar aspect of the Korean labor market to address is that when

many countries have small and medium-sized enterprises (SMEs)2 as the largest

share of their business sectors3 , SMEs in Korea do not only take up the largest

proportion of enterprise sectors but are also the largest job providers in Korean labor

market (Figure 1). Figure 1 compares the share of employment by enterprise size

in OECD countries. In the case of Korea, the largest firm size (250+) in this figure

still includes a share of SMEs since SMEs are up to the size of less than 300

employees in Korea. Yet the share of all other enterprises in the size of up to 249

employees in employment is found to be dominating for Korea; this proportion of

employment by enterprise size in Korea is outstanding and contrasting to all other

countries except for Greece.

With SMEs as major job providers in Korea, looking into how raising the

minimum wage impacts employment in SMEs is important in terms of SME’s

impact on the Korean labor market and the overall economy. However, though the

effect of the minimum wage policy on employment and other factors in Korean

labor market has been studied in several much literature, which will be discussed

later in the next section, this literature have not particularly and adequately

discussed the relationship between the minimum wage and employment in SMEs

1 Changes in minimum wage rates from 2009 to 2019 are found in Appendix (A1). 2 In Korea, small and medium enterprises (SMEs) are defined to be enterprises with less than 300

employees. 3 The typical trend in the proportion of enterprises by size in other countries is presented in Appendix (A2).

2

Undergraduate Economic Review, Vol. 16 [2019], Iss. 1, Art. 25

https://digitalcommons.iwu.edu/uer/vol16/iss1/25

in Korea. So, this paper specifically examines its effect on the employment in SMEs.

Apart from this main question, two other questions are also explored in this paper.

These are the three main questions that I would like to explore throughout the

paper:

(1) Does raising the minimum wage reduce employment in SMEs? Does it have differential effects on different types of employment? What about

on employees’ working hours and wages in SMEs?

(2) Given that we only look at the employment in SMEs, does raising the minimum wage have differential effects on employment in different

industries?

(3) How does the non-compliance rate change from 2017 to 2018?

For questions (1) and (2), I will use a difference-in-differences methodology

to measure the impact of the minimum wage increase on the aforementioned

outcomes of interest. For question (3), I will not include the noncompliance rate in

the regression due to lacking observations with only 24 monthly values but I will

examine how the non-compliance rate has changed from 2017 to 2018 when

exploring the data in Section 4.

The main findings are that raising the minimum wage has on average reduced

total employment in all sizes of SMEs. The minimum wage increase has on average

increased hourly wages of permanent and temporary employees in the smallest

SMEs when negative effects are shown for total working hours of permanent

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Employees Persons employed

Figure 1. Employment by enterprise size, business economy

Percentage of all persons employed, 2014, or latest available year

1-9 10-19 20-49 50-249 250+

Source: OECD (2017), “Entrepreneurship at a Glance 2017”

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Kim: Effects of Minimum Wage Increase on Employment in SMEs in Korea

Published by Digital Commons @ IWU, 2019

employees in the smallest SMEs and of temporary employees in SMEs in the size

of 5-9 employees. In terms of the effects on employment in different industries, not

much differential effect is found in terms of total employment, but the minimum

wage increase has on average increased total and permanent employment in SMEs

in Accommodation & food service industry. As for the noncompliance rate, it only

gets remarkably high in the beginning of 2018 but flattens out eventually, similar

to the pattern in 2017.

As noted in Table of Contents, the rest of the paper explores the following:

Section 2 discusses a number of literatures that are most relevant to the topic of the

minimum wage rate; Section 3 briefly explores employment in Korea; Section 4

presents the type of data and explores descriptive statistics and other figures prior

to the regression models; Section 5 is divided into six different parts:

5.1 Effects of raising the minimum wage on employment in SMEs: permanent employment, temporary employment, total employment

5.2 Effects of raising the minimum wage on hourly wages in SMEs: hourly wages for permanent and temporary employees

5.3 Effects of raising the minimum wage on working hours in SMEs: total working hours for permanent and temporary employees

5.4 Effects of raising the minimum wage on employment in SMEs by different industries

5.5 Limitations 5.6 Policy Implications

Sections 5.1 to 5.4 present a method, a regression model, the summary of results

and interpretation on the results for each of the topics covered; Section 5.5 discusses

the limitations in this paper; Section 5.6 suggests policy implications based on the

results; lastly, Section 6 gives the conclusion.

2. LITERATURE REVIEW

With the high incidence of low wages in the Korean labor market compared to the

levels seen in OECD countries, several protective policies have been set to help

reduce the incidence of low pay and protect the low-pay workers; a minimum wage

is one of them. Arguments over the minimum wage effects on employment in the

Korean labor market vary a lot: some literatures found the negative effects of the

minimum wage increase on employment (Yeongmin Kim 2014, Seongil Nam 2008,

Daeil Kim 2012, Dong Ug Kang 2010) when some found positive or no effects on

employment (Byeongchan Lee 2008, Sikyun Lee 2007, Yu-seon Kim et al 2004,

Yu-seon Kim 2014, Baek and Park 2016).

Another part to note is that Baek and Park (2016) used data from late 1980s

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and early 1990s, but the impact of raising the minimum wage on employment in

SMEs in 2018 could be different from the early 1990s. This is because Korea has

experienced drastic economic transformations in the last few decades4, and so with

these changes, the economic conditions in the late 1980s and early 1990s are

considered totally different from the current conditions. Along with economic

growth, labor market conditions as well as the trends of employment in Korea have

changed as well. So, the minimum wage effect could turn differently in current

conditions.

Since the purpose of setting up the minimum wage or increasing the minimum

wage is to protect low-pay workers and guarantee the minimum standard of living

for these workers, many literatures on the Korean labor market focus on how raising

the minimum wage affects low-pay workers in Korea or a group of populations

holding the characteristics of “low-pay” workers (Yu-seon Kim 2004, Daeil Kim

2012, Sikyun Lee 2007, Hwang and Lee 2012) to evaluate whether the minimum

wage increase has worked for low-pay workers (Byeongchan Lee 2008), but no

literature specifically looks into how raising the minimum wage would impact

employment in SMEs in Korea when they are the largest job provider across the

nation.

Increasing the minimum wage raises wages of low-pay workers but it also

significantly reduces firm’s profitability. Draca et al (2011) examines the impact of

the minimum wage on firm profitability by looking into the changes induced by the

introduction of a UK national minimum wage in 1999. They show that introducing

the minimum wage significantly increased the wages and significantly reduced the

firm profitability. However, they find no effects on firm employment or

productivity. If to solely take into account the result of this paper, the prediction

over the impact of raising the minimum wage on employment would be as follows:

though firm profitability could significantly decline after implementing the

minimum wage, the implementation of the minimum wage would not affect

employment in SMEs. However, what I believe could change this predicted result

is that, in the case of SMEs – especially the smallest enterprises in the size of 1-5

employees – may face shutdown price more quickly than larger ones with relatively

lower profits and may have to exit the market when profitability is largely affected,

which will also lead to a reduction in the employment rate. The result in Nam (2017)

supports this argument to some extent: Nam (2017) found out that fixed personnel

expenses are one of the cost factors that have significant effects on shutdown rate

of self-employed businesses5.

4 Growth in GDP per capita in Korea as an indicator of economic growth, is presented in

Appendix (A3). 5 I found self-employed businesses relevant to SMEs for SMEs in Korea include a big portion of

self-employed enterprises with the number of employees starting from 1.

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In terms of measuring the effects of the policy implemented, it is not only

important to pick the right strategy and data to carry out measuring the effect of the

policy but is also important to see whether or not the targeted market complies well

with the enacted policy. Relating this market compliance with the minimum wage

effect, Hwang and Lee (2012) found a significant role that non-compliance rate

plays in measuring the effect of the minimum wage when they examined the

minimum wage effect on the incidence of low pay in Korea in their paper. Using a

one-way fixed effects panel regression (controlling only for industry) in three

different periods (1989-1992, 1993-2001, and 2002-2008), Hwang and Lee use a

model that includes the Kaitz index and non-compliance rates by industry. Their

results show that though the Kaitz index significantly decreased low-pay incidence

in the first and second periods (1989-92, 1993-2001), the rate of non-compliance

significantly increased low-pay incidence in the second and third periods (1993-

2001, 2003-2008). They conclude that the effect of the minimum wage has not

“materialized” due to soaring non-compliance rates and low benefit levels, and

suggested this as a possible explanation for why raising the minimum wage failed

to make even a moderate impact on low-pay incidence. Consistent with their

finding, the following figure (Figure 2) from OECD implies that Korea has the

highest non-compliance rate among other countries in 2010. Though the dependent variable that OECD used is different from what is used as a dependent variable in

this paper (which is the employment rate in small and medium enterprises (SMEs)),

this literature importantly addresses the significance of taking into account an

increasing trend of non-compliance rate in the Korean labor market which is a

barrier to measure the “true” effect of the minimum wage on the employment in

0

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60

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80

0

5

10

15

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Figure 2. Proportion of workers earning at or below

the minimum wage, 2010 (or as stated)

% of workers earning at or below the minimum Minimum-wage level, % of median (right scale)

Results from cross-country earnings data Results from national data sources

%

Source: OECD (2015), “Minimum Wages After the Crisis: Making them Pay”

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SMEs; if most of SMEs in Korea do not comply with the minimum wage enactment,

it would be a policy failure and a labor market failure as Hwang and Lee mentioned.

Such a high non-compliance rate in Korea supports “imperfect enforcement of

the minimum wage (Danziger 2010)” to some extent. Danziger (2010) examines

the consequences of introducing a minimum wage rate in a competitive low-pay

labor market theoretically and proposes a new model to demonstrate that an

imperfectly enforced minimum-wage causes small firms to face an upward-sloping

labor supply schedule, leading these small firms to become endogenous

monopsonists. He argues that this will then cause the minimum wage rate to have

negative impact on employment in small firms as well as what these firms offer

their workers: the employment in the small firms will reduce and employed workers

in the small firms will become worse off. His paper does not deal with the empirical

evidence but the theoretical proposition and proof to demonstrate the negative effect

of the minimum wage under monopsony. Briefly bringing the important points

related with how raising the minimum wage would impact employment in SMEs in

Korea, his model proposes that the firm will pay a subminimum wage rate if the

expected labor cost – expectation of getting caught by inspection and paying both

the back wages and awards and fines – is less than the minimum wage rate, and the

smaller the firm, the lower is the expected labor cost and the more likely it is for

them to pay less than the minimum wage rate. This proposition is consistent with

what Hwang and Lee (2012) empirically found in their paper (increasing non-

compliance rate with the minimum wage) as well as the characteristics of Korean

economic structure where SMEs are the largest providers of jobs. Based on the

results and arguments of these two papers, raising the minimum wage is predicted

to reduce employment in SMEs and could negatively impact the overall

employment in Korea with SMEs as the largest job providers.

3. EMPLOYMENT IN KOREA

To briefly introduce employment background in Korea, this section presents the

overall structure of employment in terms of employment types, and the share of

SMEs in each employment type.

In Korea, the share of permanent employees is dominantly the largest among

all the employment types. This is shown in Figure 3 on the next page. It describes

how the shares of permanent employees6, temporary (and daily) employees7, and

6 Permanent employees are defined as all employees whose contracts last for one year or more, or

employees with no fixed contract periods; they are paid by establishments (Source: South Korea

Ministry of Labour, CEIC Global Database). 7 Temporary and daily employees are the employees who are hired for less than one year or on a

daily-allowance basis. (Source: South Korea Ministry of Labour, CEIC Global Database)

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other employees8 in total employment in Korea have changed in the last eight years.

In a consistent manner, the proportion of permanent employees has notably taken

up the largest proportion of employment in Korean labor market for the last eight

years and its proportion even slightly increased from 2014 onwards. So, among all

different employment types, this implies the most significance of minimum wages

on permanent employment.

Looking closely into each employment type in terms of firm size, the

following figures (Figure 4.1, 4.2, 4.3) uniformly show that SMEs are the major

source of providing jobs for all employment types, which adds significance to

finding out how employment level in SMEs responds to an increase in minimum

wages in the Korean labor market.

8 Other employees are the employees with no fixed amount of payment but only service charge or

commission in proportion to his/her sales records. (Source: South Korea Ministry of Labour, CEIC

Global Database) Other employees are not reported in the dataset and so are excluded from

employment type in this paper.

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Figure 3. Share of Employment in Korea

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Source: South Korea Ministry of Labour, CEIC Global Database

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