Intermediate Macroeconomics

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chapter_7-_mankiw.pptx

Unemployment

Tasneem Raihan

Department of Economics

7

Slides courtesy: Ron Cronovich

MACROECONOMICS

© 2015 Worth Publishers, all rights reserved

N. Gregory Mankiw

PowerPoint ® Slides by Ron Cronovich

Fall 2014 update

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CHAPTER 7 Unemployment

This presentation has lots of data. Some of it is in the textbook (or updated versions of what’s in the textbook), plus some additional data, including data that supports some of the textbook’s key points about the causes of the natural rate of unemployment.

0

IN THIS CHAPTER, YOU WILL LEARN:

…about the natural rate of unemployment:

what it means

what causes it

understanding its behavior in the real world

1

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CHAPTER 7 Unemployment

1

Natural rate of unemployment

Natural rate of unemployment: The average rate of unemployment around which the economy fluctuates.

In a recession, the actual unemployment rate rises above the natural rate.

In a boom, the actual unemployment rate falls below the natural rate.

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CHAPTER 7 Unemployment

2

The natural rate of unemployment is the “normal” unemployment rate the economy experiences when it is neither in a recession nor a boom.

Actual and natural rates of unemployment, U.S., 1960–2014

Unemployment rate

Natural rate of unemployment

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CHAPTER 7 Unemployment

Similar to Figure 7-1 in the textbook.

The actual unemployment rate fluctuates considerably over the short run. These fluctuations are the focus of Part IV of the book.

For this chapter, though, our goal is to understand the behavior of the natural rate of unemployment, essentially the long-run trend in the unemployment rate.

Source: BLS, obtained from http://research.stlouisfed.org/fred2/

Unemployment data are based on seasonally-adjusted, monthly unemployment rates for the civilian non-institutional population of the U.S.

The actual u-rate for each quarter is an average of the three monthly unemployment rates in that quarter.

The natural u-rate in a given quarter is estimated by averaging all unemployment rates from 10 years earlier to 10 years later; future unemployment rates are set at 5.5%. (Therefore, estimates of the natural rate may become less accurate toward the end of the sample period.)

3

Unemployment 1960.0 1960.25 1960.5 1960.75 1961.0 1961.25 1961.5 1961.75 1962.0 1962.25 1962.5 1962.75 1963.0 1963.25 1963.5 1963.75 1964.0 1964.25 1964.5 1964.75 1965.0 1965.25 1965 .5 1965.75 1966.0 1966.25 1966.5 1966.75 1967.0 1967.25 1967.5 1967.75 1968.0 1968.25 1968.5 1968.75 1969.0 1969.25 1969.5 1969.75 1970.0 1970.25 1970.5 1970.75 1971.0 1971.25 1971.5 1971.75 1972.0 1972.25 1972.5 1972.75 1973.0 1973.25 1973.5 1973.75 1974.0 1974.25 1974.5 1974.75 1975.0 1975.25 1975.5 1975.75 1976.0 1976.25 1976.5 1976.75 1977.0 1977.25 1977.5 1977.75 1978.0 1978.25 1978.5 1978.75 1979.0 1979.25 1979.5 1979.75 1980.0 1980.25 1980.5 1980.75 1981.0 1981.25 1981.5 1981.75 1982.0 1982.25 1982.5 1982.75 1983.0 1983.25 1983.5 1983.75 1984.0 1984.25 1984.5 1984.75 1985.0 1985.25 1985.5 1985.75 1986.0 1986.25 1986.5 1986.75 1987.0 1987.25 1987.5 1987.75 1988.0 1988.25 1988.5 1988.75 1989.0 1989.25 1989.5 1989.75 1990.0 1990.25 1990.5 1990.75 1991.0 1991 .25 1991.5 1991.75 1992.0 1992.25 1992.5 1992.75 1993.0 1993.25 1993.5 1993.75 1994.0 1994.25 1994.5 1994.75 1995.0 1995.25 1995.5 1995.75 1996.0 1996.25 1996.5 1996.75 1997.0 1997.25 1997.5 1997.75 1998.0 1998.25 1998.5 1998.75 1999.0 1999.25 1999.5 1999.75 2000.0 2000.25 2000.5 2000.75 2001.0 2001.25 2001.5 2001.75 2002.0 2002.25 2002.5 2002.75 2003.0 2003.25 2003.5 2003.75 2004.0 2004.25 2004.5 2004.75 2005.0 2005.25 2005.5 2005.75 2006.0 2006.25 2006.5 2006.75 2007.0 2007.25 2007.5 2007.75 2008.0 2008.25 2008.5 2008.75 2009.0 2009.25 2009.5 2009.75 2010.0 2010.25 2010.5 2010.75 2011.0 2011.25 2011.5 2011.75 2012.0 2012.25 2012.5 2012.75 2013.0 2013.25 2013.5 2013.75 2014.0 5.1 5.2 5.5 6.3 6.8 7.0 6.8 6.2 5.6 5.5 5.6 5.5 5.8 5.7 5.5 5.6 5.5 5.2 5.0 5.0 4.9 4.7 4.4 4.1 3.9 3.8 3.8 3.7 3.8 3.8 3.8 3.9 3.7 3.6 3.5 3.4 3.4 3.4 3.6 3.6 4.2 4.8 5.2 5.8 5.9 5.9 6.0 5.9 5.8 5.7 5.6 5.4 4.9 4.9 4.8 4.8 5.1 5.2 5.6 6.6 8.3 8.9 8.5 8.3 7.7 7.6 7.7 7.8 7.5 7.1 6.9 6.7 6.3 6.0 6.0 5.9 5.9 5.7 5.9 6.0 6.3 7.3 7.7 7.4 7.4 7.4 7.4 8.200000000000001 8.8 9.4 9.9 10.7 10.4 10.1 9.4 8.5 7.9 7.4 7.4 7.3 7.2 7.3 7.2 7.0 7.0 7.2 7.0 6.8 6.6 6.3 6.0 5.8 5.7 5.5 5.5 5.3 5.2 5.2 5.2 5.4 5.3 5.3 5.7 6.1 6.6 6.8 6.9 7.1 7.4 7.6 7.6 7.4 7.1 7.1 6.8 6.6 6.6 6.2 6.0 5.6 5.5 5.7 5.7 5.6 5.5 5.5 5.3 5.3 5.2 5.0 4.9 4.7 4.6 4.4 4.5 4.4 4.3 4.3 4.2 4.1 4.0 3.9 4.0 3.9 4.2 4.4 4.8 5.5 5.7 5.8 5.7 5.9 5.9 6.1 6.1 5.8 5.7 5.6 5.4 5.4 5.3 5.1 5.0 5.0 4.7 4.6 4.6 4.4 4.5 4.5 4.7 4.8 5.0 5.3 6.0 6.9 8.3 9.3 9.6 9.9 9.8 9.6 9.5 9.6 9.0 9.1 9.0 8.6 8.200000000000001 8.200000000000001 8.0 7.8 7.7 7.5 7.2 7.0 6.7 N. Unemployment 1960.0 1960.25 1960.5 1960.75 1961.0 1961.25 1961.5 1961.75 1962.0 1962.25 1962.5 1962.75 1963.0 1963.25 1963.5 1963.75 1964.0 1964.25 1964.5 1964.75 1965.0 1965.25 1965.5 1965.75 1966.0 1966.25 1966.5 1966.75 1967.0 1967.25 1967.5 1967.75 1968.0 1968.25 1968.5 1968.75 1969.0 1969.25 1969.5 1969.75 1970.0 1970.25 1970.5 1970.75 1971.0 1971.25 1971.5 1971.75 1972.0 1972.25 1972.5 1972.75 1973.0 1973.25 1973.5 1973.75 1974.0 1974.25 1974.5 1974.75 1975.0 1975.25 1975.5 1975.75 1976.0 1976.25 1976.5 1976.75 1977.0 1977.25 1977.5 1977.75 1978.0 1978.25 1978.5 1978.75 1979.0 1979.25 1979.5 1979.75 1980.0 1980.25 1980.5 1980.75 1981.0 1981.25 1981.5 1981.75 1982.0 1982.25 1982.5 1982.75 1983.0 1983.25 1983.5 1983.75 1984.0 1984.25 1984.5 1984.75 1985.0 1985.25 1985.5 1985.75 1986.0 1986.25 1986.5 1986.75 1987.0 1987.25 1987.5 1987.75 1988.0 1988.25 1988.5 1988.75 1989.0 1989.25 1989.5 1989.75 1990.0 1990.25 1990.5 1990.75 1991.0 1991.25 1991.5 1991.75 1992.0 1992.25 1992.5 1992.75 1993.0 1993.25 1993.5 1993.75 1994.0 1994.25 1994.5 1994.75 1995.0 1995.25 1995.5 1995.75 1996.0 1996.25 1996.5 1996.75 1997.0 1997.25 1997.5 1997.75 1998.0 1998.25 1998.5 1998.75 1999.0 1999.25 1999.5 1999.75 2000.0 2000.25 2000.5 2000.75 2001.0 2001.25 2001.5 2001.75 2002.0 2002.25 2002.5 2002.75 2003.0 2003.25 2003.5 2003.75 2004.0 2004.25 2004.5 2004.75 2005.0 2005.25 2005.5 2005.75 2006.0 2006.25 2006.5 2006.75 2007.0 2007.25 2007.5 2007.75 2008.0 2008.25 2008.5 2008.75 2009.0 2009.25 2009.5 2009.75 2010.0 2010.25 2010.5 2010.75 2011.0 2011.25 2011.5 2011.75 2012.0 2012.25 2012.5 2012.75 2013.0 2013.25 2013.5 2013.75 2014.0 4.64375 4.61625 4.60625 4.613749999999999 4.63375 4.663749999999998 4.698749999999999 4.73375 4.764999999999991 4.79875 4.832499999999999 4.862499999999994 4.894999999999991 4.922499999999999 4.95125 4.977499999999998 4.99125 4.98875 4.98125 4.97625 4.992499999999999 5.0375 5.09375 5.148749999999999 5.199999999999997 5.24625 5.28875 5.33375 5.38 5.424999999999994 5.462499999999999 5.49625 5.518749999999999 5.51875 5.501250000000001 5.485000000000001 5.478750000000001 5.48 5.487500000000001 5.495 5.5 5.515000000000001 5.541250000000002 5.568750000000001 5.5825 5.59 5.594999999999994 5.602499999999996 5.62749999999999 5.66749999999999 5.71625 5.769999999999999 5.834999999999995 5.892499999999996 5.947499999999998 5.996249999999998 6.032499999999997 6.062499999999996 6.089999999999996 6.119999999999997 6.148749999999997 6.177499999999997 6.209999999999996 6.244999999999996 6.28125 6.319999999999996 6.362499999999994 6.402499999999996 6.44125 6.47625 6.507499999999996 6.534999999999997 6.558749999999996 6.583749999999998 6.607499999999995 6.632499999999998 6.656249999999997 6.678749999999998 6.70125 6.721249999999998 6.74375 6.757499999999998 6.763749999999997 6.769999999999998 6.773749999999997 6.782499999999997 6.793749999999998 6.80499999999999 6.819999999999998 6.839999999999998 6.863749999999999 6.888749999999999 6.91375 6.94125 6.96875 6.99375 7.016250000000001 7.035000000000001 7.047499999999999 7.052499999999998 7.040000000000002 7.005000000000001 6.965000000000002 6.930000000000005 6.896250000000004 6.868749999999999 6.842499999999998 6.812499999999996 6.781250000000002 6.752499999999999 6.726250000000002 6.701250000000002 6.676250000000003 6.654999999999995 6.635000000000001 6.616250000000003 6.597499999999997 6.577500000000001 6.56 6.538750000000002 6.515000000000001 6.486250000000001 6.443750000000001 6.397499999999995 6.353750000000002 6.313750000000001 6.276250000000001 6.243750000000001 6.210000000000001 6.171250000000001 6.126250000000001 6.07375 6.01375 5.957499999999999 5.9075 5.86625 5.8325 5.804999999999991 5.782499999999999 5.757499999999998 5.73375 5.71 5.682499999999996 5.654999999999988 5.629999999999994 5.60125 5.568749999999999 5.53875 5.508749999999998 5.4825 5.46 5.443749999999998 5.43125 5.422499999999999 5.42 5.42625 5.446 25 5.484999999999999 5.53625 5.591250000000001 5.647499999999995 5.70375 5.757499999999998 5.805000000000001 5.847499999999997 5.877499999999999 5.905000000000002 5.931250000000002 5.951250000000001 5.962499999999999 5.970000000000001 5.975000000000001 5.980000000000001 5.987500000000002 5.992500000000001 5.9975 6.0025 6.003750000000001 6.001265822784811 6.001282051282052 6.006493506493507 6.013157894736842 6.017333333333334 6.02162162162163 6.027397260273974 6.034722222222223 6.042253521126761 6.052857142857144 6.06376811594204 6.076470588235296 6.092537313432837 6.110606060606053 6.132307692307694 6.156250000000001 6.184126984126977 6.21129032258065 6.240983606557378 6.27333333333334 6.306779661016947 6.343103448275863 6.382456140350877 6.425000000000002 6.470909090909092 6.516666666666668 6.566037735849057 6.611538461538453 6.654901960784304 6.691999999999997 6.716326530612245 6.7375 6.757446808510638 6.780434782608695 6.8 6.820454545454536 6.83720930232558 6.854761904761904 6.880487804878046

Percent of labor force

A first model of the natural rate

Notation:

L = # of workers in labor force

E = # of employed workers

U = # of unemployed

L= E + U

U/L = unemployment rate

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CHAPTER 7 Unemployment

4

Assumptions:

1. L is exogenously fixed.

2. During any given month,

s = rate of job separations, fraction of employed workers who quit or lose jobs each month; 0<s<1

f = rate of job finding, fraction of unemployed workers that find jobs each month

s and f are exogenous; 0<s<1.

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CHAPTER 7 Unemployment

5

This slide spells out the three variables we assume to be exogenous:

the labor force, the rate of job separations, and the rate of job finding.

The transitions between employment and unemployment

Employed

Unemployed

s ×E

f ×U

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CHAPTER 7 Unemployment

6

Figure 7-2, p. 179

(Note: The size of the boxes containing the words “employed” and “unemployed” are not proportional to the number of people in each category.)

The steady state condition

Definition: the labor market is in steady state, or long-run equilibrium, if the unemployment rate is constant.

The steady-state condition is:

s ×E = f ×U

# of employed people who lose or leave their jobs

# of unemployed people who find jobs

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CHAPTER 7 Unemployment

7

In order for the unemployment rate to be constant, the number of people who become unemployed in each month must equal the number of formerly unemployed people who find jobs.

Finding the “equilibrium” U rate

f ×U = s ×E

= s ×(L – U ) [Remember L= E + U]

= s ×L – s ×U

Solve for U:

(f × U) + (s × U) = s × L

=> U × (f + s)= s × L => U= (s × L) / (f + s)

so,

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CHAPTER 7 Unemployment

8

Example:

Each month,

1% of employed workers lose their jobs (s = 0.01)

19% of unemployed workers find jobs (f = 0.19)

Find the natural/steady state rate of unemployment:

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CHAPTER 7 Unemployment

9

Policy implication

A policy will reduce the natural rate of unemployment only if it lowers s or increases f.

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CHAPTER 7 Unemployment

10

Why is there unemployment?

If job finding were instantaneous (f = 1), then all spells of unemployment would be brief, and the natural rate would be near zero.

There are two reasons why f < 1:

1. job search

2. wage rigidity

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CHAPTER 7 Unemployment

11

Job search & frictional unemployment

frictional unemployment: caused by the time it takes workers to search for a job

occurs even when wages are flexible and there are enough jobs to go around

occurs because

workers have different abilities, preferences

jobs have different skill requirements

geographic mobility of workers not instantaneous

flow of information about vacancies and job candidates is imperfect

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CHAPTER 7 Unemployment

12

Sectoral shifts

def: Changes in the composition of demand among industries or regions.

example: Technological change more jobs repairing computers, fewer jobs repairing typewriters

example: A new international trade agreement labor demand increases in export sectors, decreases in import-competing sectors

These scenarios result in frictional unemployment

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CHAPTER 7 Unemployment

13

Sometimes the unemployment caused by sectoral shifts is severe.

Due to increasing imports of cheaper foreign-made textiles (particularly since the expiration in 2005 of long-standing quotas on textiles from China), the U.S. textile industry has been in decline for years. Tens of thousands of workers in this industry have lost jobs.

Many of these workers are in their 50s and have worked in this industry for decades. Such workers are unlikely to have the skills necessary to get jobs available in newly booming industries, and they are less likely to invest in the acquisition of the necessary skills for these jobs. Hence, such workers are at greater risk for becoming “discouraged workers.”

More examples of sectoral shifts

Industrial revolution (1800s): agriculture declines, manufacturing soars

Energy crisis (1970s): demand shifts from larger cars to smaller ones

Health care spending as % of GDP: 1960: 5.2 2000: 13.8 1980: 9.1 2010: 17.9

In our dynamic economy, smaller sectoral shifts occur frequently, contributing to frictional unemployment.

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CHAPTER 7 Unemployment

14

Most of the examples on this and the previous slides are big changes that have occurred over many years. These examples give students a good idea of what sectoral shifts are. Perhaps more important for the natural rate, though, are the many smaller changes that occur more frequently. Ours is a dynamic economy: the structure of demand is shifting almost continuously, due to changes in preferences, technology, and the location of production. As a result, there is a near-continual flow of newly frictionally unemployed workers.

Sectoral shifts are distinct from recessions (which also cause unemployment). In recessions, there is a general fall in demand across industries, and the unemployment that results is cyclical. Sectoral shifts, though, are changes in the composition of demand across industries, and lead to frictional unemployment as described above.

Source of health expenditure data:

http://www.cms.hhs.gov/NationalHealthExpendData/02_NationalHealthAccountsHistorical.asp#TopOfPage

CASE STUDY: Sectoral shifts over the long run

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CHAPTER 7 Unemployment

15

All figures are industry shares in U.S. GDP. “Other industry” includes construction, mining, electricity, water, and gas.

From 1960 to 2009, there are huge changes in all four categories. Manufacturing falls by about half.

Even the “tiny” category of agriculture drops by about three-fourths.

As a result of these huge structural shifts, the types of jobs available now are vastly different than just two generations ago.

Source: World Development Indicators, World Bank.

[2009 is the latest available as of 2012(!)]

Public policy and job search

Govt programs affecting unemployment include:

Govt employment agencies disseminate info about job openings to better match workers & jobs.

Public job training programs help workers displaced from declining industries get skills needed for jobs in growing industries.

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CHAPTER 7 Unemployment

16

Unemployment insurance (UI)

UI pays part of a worker’s former wages for a limited time after the worker loses his/her job.

UI increases search unemployment, because it reduces

the opportunity cost of being unemployed

the urgency of finding work

f

Studies: The longer a worker is eligible for UI, the longer the average spell of unemployment.

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CHAPTER 7 Unemployment

17

The text includes a nice case study on unemployment insurance (pp.182-3). It discusses evidence that unemployment insurance reduces the job finding rate.

Benefits of UI

By allowing workers more time to search,

UI may lead to better matches between jobs and workers,

which would lead to greater productivity and higher incomes.

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CHAPTER 7 Unemployment

18

Why is there unemployment?

Two reasons why f < 1:

1. job search

2. wage rigidity

DONE 

Next 

The natural rate of unemployment:

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CHAPTER 7 Unemployment

19

Unemployment from real wage rigidity

Labor

Real wage

Supply

D1

Unemployment

Rigid real wage

Amount of labor willing to work

Amount of labor hired

If real wage is stuck above its eq’m level, there aren’t enough jobs to go around.

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CHAPTER 7 Unemployment

20

Figure 7-3 on p.183.

Abbreviation: “eq’m” = equilibrium

Unemployment from real wage rigidity

Then, firms must ration the scarce jobs among workers.

Structural unemployment: The unemployment resulting from real wage rigidity and job rationing.

If real wage is stuck above its eq’m level, there aren’t enough jobs to go around.

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CHAPTER 7 Unemployment

21

Other texts define “structural unemployment” as unemployment that results from a mismatch between the skills or locations of workers and the skill or location requirements of job openings. This would occur, for example, if there were a decrease in demand for domestic steel (and hence steel workers) and a simultaneous increase in demand for financial consulting services (and hence employees of such firms).

However, if wages are perfectly flexible, then the decrease in demand for steel workers would simply cause their wage to fall until all were again employed, and the increase in demand for workers in financial firms would simply increase until equilibrium in that labor market was reestablished. So, the critical ingredient for structural unemployment is wage rigidity. Hence, Mankiw’s definition.

Reasons for wage rigidity

1. Minimum wage laws

2. Labor unions

3. Efficiency wages

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CHAPTER 7 Unemployment

22

1. The minimum wage

The min. wage may exceed the eq’m wage of unskilled workers, especially teenagers.

Studies: a 10% increase in min. wage reduces teen employment by 1–3%

But, the min. wage cannot explain the majority of the natural rate of unemployment, as most workers’ wages are well above the min. wage.

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CHAPTER 7 Unemployment

23

2. Labor unions

Unions exercise monopoly power to secure higher wages for their members.

When the union wage exceeds the eq’m wage, unemployment results.

Insiders: Employed union workers whose interest is to keep wages high.

Outsiders: Unemployed non-union workers who prefer eq’m wages, so there would be enough jobs for them.

In US, 13% of the workers have their wages set through collective bargaining of labor unions

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CHAPTER 7 Unemployment

24

See p.187 for more discussion about insiders and outsiders.

The theory has two implications we can confront with data:

1) Union members’ average earnings should be higher than non-union members’ average earnings.

2) The difference between union and non-union wages should be higher in industries that are more heavily unionized (and hence, in which unions have more market power) than in less heavily unionized industries.

The following slide shows recent data on union membership and wage ratios by industry in the U.S. The data are consistent with the theory.

104,737

Private sector (total)

20,450

Government (total)

15,835

Health care

4,020

Education

12,171

Professional services

6,111

Finance, insurance

4,355

Transportation

14,582

Retail trade

13,599

Manufacturing

780

Mining

122.6

121.1

114.9

112.6

99.1

90.2

123.5

102.4

107.2

96.4

151.7

6.9

37.0

7.5

13.0

2.1

1.1

20.4

4.9

10.5

7.2

14.0

6,244

Construction

wage ratio

U % of total

# employed (1000s)

industry

wage ratio = 100 × (union wage) / (nonunion wage)

Union membership and wage ratios by industry, 2011

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CHAPTER 7 Unemployment

25

The wage ratio equals the average weekly earnings of union members divided by that of non-union members. (Here, “union members” does not include non-union members who are represented by unions; however, including them in these calculations does not substantively change the results.)

For example, in Transportation, 20.4% of workers are in unions, and on average they earn 23.5% more per week than non-union members in that industry.

In 2011, 11.8% of all workers in the U.S. were members of unions. The data on this slide show two things:

union workers typically earn more than non-union workers (about 22% more on average).

2) the greater the percentage of union workers in an industry, the higher the wage ratio (the correlation is about 0.5)

Source: BLS.gov

Note: Due to space constraints on the slide, a few industries were omitted.

3. Efficiency wages

Firms willingly pay above-equilibrium wages to raise productivity.

Higher wages increase worker productivity by:

attracting higher quality job applicants

increasing worker effort, reducing “shirking”

reducing turnover, which is costly to firms

improving health of workers (in developing countries)

Result: structural unemployment.

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CHAPTER 7 Unemployment

26

NOW YOU TRY Question for Discussion

Use the material we’ve just covered to come up with a policy or policies to try to reduce the natural rate of unemployment.

Note whether your policy targets frictional or structural unemployment.

27

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CHAPTER 7 Unemployment

Possible answers:

Stop raising the (nominal) minimum wage, so that its real value will gradually erode to zero.

Regulate unions (just like other monopolies are regulated) to reduce unions’ impact on wages.

Reduce the generosity of unemployment insurance benefits.

Implement government employment agencies to increase the accessibility of information about job vacancies and available workers.

Increase public funding to help retrain workers displaced from jobs in declining industries.

27

The Median Duration of Unemployment

Weeks

The median duration of unemployment typically rises in recessions—but its rise in 2008–2010 is unprecedented.

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CHAPTER 7 Unemployment

This graph replicates Figure 7-4 on p.191. It’s new to the 8th edition, which also includes some nice discussion of different perspectives on the recent rise in long-term unemployment. There are good quotes from Robert Barro and Paul Krugman.

Two possible reasons for the spike in 2008-2009:

Unemployment coverage expanded from 26 weeks to 99 weeks, so unemployed workers had less incentive to find a job. (Robert Barro pointed this out)

Overall consumer demand was low, so there just were not enough jobs. (This was Paul Krugman’s view)

28

Recession 25204.0 25235.0 25263.0 25294.0 25324.0 25355.0 25385.0 25416.0 25447.0 25477.0 25508.0 25538.0 25569.0 25600.0 25628.0 25659.0 25689.0 25720.0 25750.0 25781.0 25812.0 25842.0 25873.0 25903.0 25934.0 25965.0 25993.0 26024.0 26054.0 26085.0 26115.0 26146.0 26177.0 26207.0 26238.0 26268.0 26299.0 26330.0 26359.0 26390.0 26420.0 26451.0 26481.0 26512.0 26543.0 26573.0 26604.0 26634.0 26665.0 26696.0 26724.0 26755.0 26785.0 26816.0 26846.0 26877.0 26908.0 26938.0 26969.0 26999.0 27030.0 27061.0 27089.0 27120.0 27150.0 27181.0 27211.0 27242.0 2727 3.0 27303.0 27334.0 27364.0 27395.0 27426.0 27454.0 27485.0 27515.0 27546.0 27576.0 27607.0 27638.0 27668.0 27699.0 27729.0 27760.0 27791.0 27820.0 27851.0 27881.0 27912.0 27942.0 27973.0 28004.0 28034.0 28065.0 28095.0 28126.0 28157.0 28185.0 28216.0 28246.0 28277.0 28307.0 28338.0 28369.0 28399.0 28430.0 28460.0 28491.0 28522.0 28550.0 28581.0 28611.0 28642.0 28672.0 28703.0 28734.0 28764.0 28795.0 28825.0 28856.0 28887.0 28915.0 28946.0 28976.0 29007.0 29037.0 29068.0 29099.0 29129.0 29160.0 29190.0 29221.0 29252.0 29281.0 29312.0 29342.0 29373.0 29403.0 29434.0 29465.0 29495.0 29526.0 29556.0 29587.0 29618.0 29646.0 29677.0 29707.0 29738.0 29768.0 29799.0 29830.0 29860.0 29891.0 29921.0 29952.0 29983.0 30011.0 30042.0 30072.0 30103.0 30133.0 30164.0 30195.0 30225.0 30256.0 30286.0 30317.0 30348.0 30376.0 30407.0 30437.0 30468.0 30498.0 30529.0 30560.0 30590.0 30621.0 30651.0 30682.0 30713.0 30742.0 30773.0 30803.0 30834.0 30864.0 30895.0 30926.0 30956.0 30987.0 31017.0 31048.0 31079.0 31107.0 31138.0 31168.0 31199.0 31229.0 31260.0 31291.0 31321.0 31352.0 31382.0 31413.0 31444.0 31472.0 31503.0 31533.0 31564.0 31594.0 31625.0 31656.0 31686.0 31717.0 31747.0 31778.0 31809.0 31837.0 31868.0 31898.0 31929.0 31959.0 31990.0 32021.0 32051.0 32082.0 32112.0 32143.0 32174.0 32203.0 32234.0 32264.0 32295.0 32325.0 32356.0 32387.0 32417.0 32448.0 32478.0 32509.0 32540.0 32568.0 32599.0 32629.0 32660.0 32690.0 32721.0 32752.0 32782.0 32813.0 32843.0 32874.0 32905.0 32933.0 32964.0 32994.0 33025.0 33055.0 33086.0 33117.0 33147.0 33178.0 33208.0 33239.0 33270.0 33298.0 33329.0 33359.0 33390.0 33420.0 33451.0 33482.0 33512.0 33543.0 33573.0 33604.0 33635.0 33664.0 33695.0 33725.0 33756.0 33786.0 33817.0 33848.0 33878.0 33909.0 33939.0 33970.0 34001.0 34029.0 34060.0 34090.0 34121.0 34151.0 34182.0 34213.0 34243.0 34274.0 34304.0 34335.0 34366.0 34394.0 34425.0 34455.0 34486.0 34516.0 34547.0 34578.0 34608.0 34639.0 34669.0 34700.0 34731.0 34759.0 34790.0 34820.0 34851.0 34881.0 34912.0 34943.0 34973.0 35004.0 35034.0 35065.0 35096.0 35125.0 35156.0 35186.0 35217.0 35247.0 35278.0 35309.0 35339.0 35370.0 35400.0 35431.0 35462.0 35490.0 35521.0 35551.0 35582.0 35612.0 35643.0 35674.0 35704.0 35735.0 35765.0 35796.0 35827.0 35855.0 35886.0 35916.0 35947.0 35977.0 36008.0 36039.0 36069.0 36100.0 36130.0 36161.0 36192.0 36220.0 36251.0 36281.0 36312.0 36342.0 36373.0 36404.0 36434.0 36465.0 36495.0 36526.0 36557.0 36586.0 36617.0 36647.0 36678.0 36708.0 36739.0 36770.0 36800.0 36831.0 36861.0 36892.0 36923.0 36951.0 36982.0 37012.0 37043.0 37073.0 37104.0 37135.0 37165.0 37196.0 37226.0 37257.0 37288.0 37316.0 37347.0 37377.0 37408.0 37438.0 37469.0 37500.0 37530.0 37561.0 37591.0 37622.0 37653.0 37681.0 37712.0 37742.0 37773.0 37803.0 37834.0 37865.0 37895.0 37926.0 37956.0 37987.0 38018.0 38047.0 38078.0 38108.0 38139.0 38169.0 38200.0 38231.0 38261.0 38292.0 38322.0 38353.0 38384.0 38412.0 38443.0 38473.0 38504.0 38534.0 38565.0 38596.0 38626.0 38657.0 38687.0 38718.0 38749.0 38777.0 38808.0 38838.0 38869.0 38899.0 38930.0 38961.0 38991.0 39022.0 39052.0 39083.0 39114.0 39142.0 39173.0 39203.0 39234.0 39264.0 39295.0 39326.0 39356.0 39387.0 39417.0 39448.0 39479.0 39508.0 39539.0 39569.0 39600.0 39630.0 39661.0 39692.0 39722.0 39753.0 39783.0 39814.0 39845.0 39873.0 39904.0 39934.0 39965.0 39995.0 40026.0 40057.0 40087.0 40118.0 40148.0 40179.0 40210.0 40238.0 40269.0 40299.0 40330.0 40360.0 40391.0 40422.0 40452.0 40483.0 40513.0 40544.0 40575.0 40603.0 40634.0 40664.0 40695.0 40725.0 40756.0 40787.0 40817.0 40848.0 40878.0 40909.0 40940.0 40969.0 41000.0 41030.0 41061.0 41091.0 41122.0 41153.0 41183.0 41214.0 41244.0 41275.0 41306.0 41334.0 41365.0 41395.0 41426.0 41456.0 41487.0 41518.0 41548.0 41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100 .0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 UEMPMED 25204.0 25235.0 25263.0 25294.0 25324.0 25355.0 25385.0 25416.0 25447.0 25477.0 25508.0 25538.0 25569.0 25600.0 25628.0 25659 .0 25689.0 25720.0 25750.0 25781.0 25812.0 25842.0 25873.0 25903.0 25934.0 25965.0 25993.0 26024.0 26054.0 26085.0 26115.0 26146.0 26177.0 26207.0 26238.0 26268.0 26299.0 26330.0 26359.0 26390.0 26420.0 26451.0 26481.0 26512.0 26543.0 26573.0 26604.0 26634.0 26665.0 26696.0 26724.0 26755.0 26785.0 26816.0 26846.0 26877.0 26908.0 26938.0 26969.0 26999.0 27030.0 27061.0 27089.0 27120.0 27150.0 27181.0 27211.0 27242.0 27273.0 27303.0 27334.0 27364.0 27395.0 27426.0 27454.0 27485.0 27515.0 27546.0 27576.0 27607.0 27638.0 27668.0 27699.0 27729.0 27760.0 27791.0 27820.0 27851.0 27881.0 27912.0 27942.0 27973.0 28004.0 28034.0 28065.0 28095.0 28126.0 28157.0 28185.0 28216.0 28246.0 28277.0 28307.0 28338.0 28369.0 28399.0 28430.0 28460.0 28491.0 28522.0 28550.0 28581.0 28611.0 28642.0 28672.0 28703.0 28734.0 287 64.0 28795.0 28825.0 28856.0 28887.0 28915.0 28946.0 28976.0 29007.0 29037.0 29068.0 29099.0 29129.0 29160.0 29190.0 29221.0 29252.0 29281.0 29312.0 29342.0 29373.0 29403.0 29434.0 29465.0 29495.0 29526.0 29556.0 29587.0 29618.0 29646.0 29677.0 29707.0 29738.0 29768.0 29799.0 29830.0 29860.0 29891.0 29921.0 29952.0 29983.0 30011.0 30042.0 30072.0 30103.0 30133.0 30164.0 30195.0 30225.0 30256.0 30286.0 30317.0 30348.0 30376.0 30407.0 30437.0 30468.0 30498.0 30529.0 30560.0 30590.0 30621.0 30651.0 30682.0 30713.0 30742.0 30773.0 30803.0 30834.0 30864.0 30895.0 30926.0 30956.0 30987.0 31017.0 31048.0 31079.0 31107.0 31138.0 31168.0 31199.0 31229.0 31260.0 31291.0 31321.0 31352.0 31382.0 31413.0 31444.0 31472.0 31503.0 31533.0 31564.0 31594.0 31625.0 31656.0 31686.0 31717.0 31747.0 31778.0 31809.0 31837.0 31868.0 31898.0 31929.0 31959.0 31990.0 32021.0 32051.0 32082.0 32112.0 32143.0 32174.0 32203.0 32234.0 32264.0 32295.0 32325.0 32356.0 32387.0 32417.0 32448.0 32478.0 32509.0 32540.0 32568.0 32599.0 32629.0 32660.0 32690.0 32721.0 32752.0 32782.0 32813.0 32843.0 32874.0 32905.0 32933.0 32964.0 32994.0 33025.0 33055.0 33086.0 33117.0 33147.0 33178.0 33208.0 33239.0 33270.0 33298.0 33329.0 33359.0 33390.0 33420.0 33451.0 33482.0 33512.0 33543.0 33573.0 33604.0 33635.0 33664.0 33695.0 33725.0 33756.0 33786.0 33817.0 33848.0 33878.0 33909.0 33939.0 33970.0 34001.0 34029.0 34060.0 34090.0 34121.0 34151.0 34182.0 34213.0 34243.0 34274.0 34304.0 34335.0 34366.0 34394.0 34425.0 34455.0 34486.0 34516.0 34547.0 34578.0 34608.0 34639.0 34669.0 34700.0 34731.0 34759.0 34790.0 34820.0 34851.0 34881.0 34912.0 34943.0 34973.0 35004.0 35034.0 35065.0 35096.0 35125.0 35156.0 35186.0 35217.0 35247.0 35278.0 35309.0 35339.0 35370.0 35400.0 35431.0 35462.0 35490.0 35521.0 35551.0 35582.0 35612.0 35643.0 35674.0 35704.0 35735.0 35765.0 35796.0 35827.0 35855.0 35886.0 35916.0 35947.0 35977.0 36008.0 36039.0 36069.0 36100.0 36130.0 36161.0 36192.0 36220.0 36251.0 36281.0 36312.0 36342.0 36373.0 36404.0 36434.0 36465.0 36495.0 36526.0 36557.0 36586.0 36617.0 36647.0 36678.0 36708.0 36739.0 36770.0 36800.0 36831.0 36861.0 36892.0 36923.0 36951.0 36982.0 37012.0 37043.0 37073.0 37104.0 37135.0 37165.0 37196.0 37226.0 37257.0 37288.0 37316.0 37347.0 37377.0 37408.0 37438.0 37469.0 37500.0 37530.0 37561.0 37591.0 37622.0 37653.0 37681.0 37712.0 37742.0 37773.0 37803.0 37834.0 37865.0 37895.0 37926.0 37956.0 37987.0 38018.0 38047.0 38078.0 38108.0 38139.0 38169.0 38200.0 38231.0 38261.0 38292.0 38322.0 38353.0 38384.0 38412.0 38443.0 38473.0 38504.0 38534.0 38565.0 38596.0 38626.0 38657.0 38687.0 38718.0 38749.0 38777.0 38808.0 38838.0 38869.0 38899.0 38930.0 38961.0 38991.0 39022.0 39052.0 39083.0 39114.0 39142.0 39173.0 39203.0 39234.0 39264.0 39295.0 39326.0 39356.0 39387.0 39417.0 39448.0 39479.0 39508.0 39539.0 39569.0 39600.0 39630.0 39661.0 39692.0 39722.0 39753.0 39783.0 39814.0 39845.0 39873.0 39904.0 39934.0 39965.0 39995.0 40026.0 40057.0 40087.0 40118.0 40148.0 40179.0 40210.0 40238.0 40269.0 40299.0 40330.0 40360.0 40391.0 40422.0 40452.0 40483.0 40513.0 40544.0 40575.0 40603.0 40634.0 40664.0 40695.0 40725.0 40756.0 40787.0 40817.0 40848.0 40878.0 40909.0 40940.0 40969.0 41000.0 41030.0 41061.0 41091.0 41122.0 41153.0 41183.0 41214.0 41244.0 41275.0 41306.0 41334.0 41365.0 41395.0 41426.0 41456.0 41487.0 41518.0 41548.0 41579.0 41609.0 41640.0 41671.0 41699.0 41730.0 41760.0 4.4 4.9 4.0 4.0 4.2 4.4 4.4 4.4 4.7 4.5 4.8 4.6 4.6 4.5 4.6 4.1 4.7 4.9 5.1 5.4 5.2 5.2 5.6 5.9 6.2 6.3 6.4 6.5 6.7 5.7 6.2 6.4 5.8 6.5 6.4 6.2 6.2 6.6 6.6 6.7 6.6 5.4 6.1 6.0 5.6 5.7 5.7 6.1 5.7 5.2 5.5 5.0 4.9 5.0 5.2 4.9 5.4 5.5 5.1 4.7 5.0 5.1 4.8 5.0 4.6 5.3 5.7 5.0 5.3 5.5 5.2 5.7 6.3 7.1 7.2 8.700000000000001 9.4 8.8 8.6 9.200000000000001 9.200000000000001 8.6 9.5 9.0 9.0 8.200000000000001 8.700000000000001 8.200000000000001 8.3 7.8 7.7 7.9 7.8 7.7 8.4 8.0 7.5 7.2 7.2 7.3 7.9 6.2 7.1 7.0 6.7 6.9 7.0 6.8 6.5 6.7 6.2 6.1 5.7 6.0 5.8 5.8 5.6 5.9 5.5 5.6 5.9 5.9 5.9 5.4 5.6 5.6 5.9 4.8 5.5 5.5 5.3 5.7 5.3 5.8 6.0 5.8 5.7 6.4 7.0 7.5 7.7 7.5 7.7 7.5 7.4 7.1 7.1 7.4 6.9 6.6 7.1 7.2 6.8 6.8 6.9 6.9 7.1 7.5 7.7 8.1 8.5 9.5 8.5 8.700000000000001 9.5 9.700000000000001 10.0 10.2 11.1 9.8 10.4 10.9 12.3 11.3 10.1 9.3 9.3 9.4 9.3 8.700000000000001 9.1 8.3 8.3 8.200000000000001 9.1 7.5 7.5 7.3 7.6 7.2 7.2 7.3 6.8 7.1 7.1 6.9 6.9 6.6 6.9 7.1 6.9 7.1 7.0 6.8 6.7 6.9 6.8 6.7 6.8 7.0 6.9 7.1 7.4 7.0 7.1 7.1 6.9 6.6 6.6 7.1 6.6 6.5 6.5 6.4 6.0 6.3 6.2 6.0 6.2 6.3 6.4 5.9 5.9 5.8 6.1 5.9 5.7 5.6 5.7 5.9 5.6 5.4 5.4 5.4 5.3 5.4 5.6 5.0 4.9 4.9 4.8 4.9 5.1 5.3 5.1 4.8 5.2 5.2 5.4 5.4 5.6 5.8 5.7 5.9 6.0 6.2 6.7 6.6 6.4 6.9 7.0 7.3 6.8 7.2 7.5 7.8 8.1 8.200000000000001 8.3 8.5 8.8 8.700000000000001 8.6 8.8 8.6 9.0 9.0 9.3 8.6 8.5 8.5 8.4 8.1 8.3 8.200000000000001 8.200000000000001 8.3 8.0 8.3 8.3 8.6 9.200000000000001 9.3 9.1 9.200000000000001 9.3 9.0 8.9 9.200000000000001 10.0 9.0 8.700000000000001 8.0 8.1 8.3 8.3 9.1 7.9 8.5 8.3 7.9 8.200000000000001 8.0 8.3 8.3 7.8 8.3 8.6 8.6 8.3 8.3 8.4 8.5 8.3 7.7 7.8 7.8 8.1 7.9 8.3 8.0 8.0 8.3 7.8 8.200000000000001 7.7 7.6 7.5 7.4 7.0 6.8 6.7 6.0 6.9 6.7 6.8 6.7 5.8 6.6 6.8 6.9 6.8 6.8 6.2 6.5 6.3 5.8 6.5 6.0 6.1 6.2 5.8 5.8 6.1 6.0 6.1 5.8 5.7 6.0 6.3 5.2 6.1 6.1 6.0 5.8 6.1 6.6 5.9 6.3 6.0 6.8 6.9 7.2 7.3 7.7 8.200000000000001 8.4 8.3 8.4 8.9 9.5 11.0 8.9 9.0 9.5 9.6 9.3 9.6 9.6 9.5 9.700000000000001 10.2 9.9 11.5 10.3 10.1 10.2 10.4 10.3 10.4 10.6 10.2 10.2 9.5 9.9 11.0 8.9 9.200000000000001 9.6 9.5 9.700000000000001 9.5 9.4 9.200000000000001 9.3 9.0 9.1 9.0 8.8 9.200000000000001 8.4 8.6 8.5 8.700000000000001 8.6 9.1 8.700000000000001 8.4 8.5 7.3 8.0 8.4 8.0 7.9 8.3 7.5 8.3 8.5 9.1 8.6 8.200000000000001 7.7 8.700000000000001 8.8 8.700000000000001 8.4 8.6 8.4 9.0 8.700000000000001 8.700000000000001 9.4 7.9 9.0 9.700000000000001 9.700000000000001 10.2 10.4 9.8 10.5 10.7 11.7 12.3 13.1 14.2 17.2 16.0 16.3 17.8 18.9 19.8 20.1 20.0 19.9 20.5 22.1 22.3 25.0 22.2 20.9 20.2 21.4 21.0 22.0 21.5 21.2 21.7 20.9 21.6 22.1 21.8 22.2 21.9 20.7 20.9 20.6 20.9 20.0 19.6 19.2 19.8 19.8 17.2 18.2 18.7 20.0 18.6 17.8 16.0 17.7 18.1 17.3 16.9 16.2 15.8 16.5 16.4 16.5 17.0 17.1 16.0 16.4 16.3 16.0 14.6

TREND: The natural rate rises over 1960–84, then falls over 1985–2005

‹#›

CHAPTER 7 Unemployment

The purpose of this slide is to establish the trend behavior of the natural rate in recent decades: rising until the early 80s, then falling from the mid-80s through the early 2000s.

(It is probably too soon to say what happened to the trend in 2008-2010, due to the steep recession and to the fact that the natural rate data used in this graph were estimated as the average of unemployment rates from 10 years before to 10 years after each date, with future unemployment rates set at 5.5 percent.)

The following slides will show that the theories in this chapter are (mostly) consistent with the trend behavior of the natural rate.

The graph on this slide is similar to Figure 7-1 (near the beginning of this PowerPoint presentation), with modifications to the vertical scale and colors to highlight the trend behavior.

29

UNRATE 21916.0 22007.0 22098.0 22190.0 22282.0 22372.0 22463.0 22555.0 22647.0 22737.0 22828.0 22920.0 23012.0 23102.0 23193.0 23285.0 23377.0 23468.0 23559.0 23651.0 23743.0 23833.0 23924.0 24016.0 24108.0 24198.0 24289.0 24381.0 24473.0 24563.0 24654.0 24746.0 24838.0 24929.0 25020.0 25112.0 25204.0 25294.0 25385.0 25477.0 25569.0 25659.0 25750.0 25842.0 25934.0 26024.0 26115.0 26207.0 26299.0 26390.0 26481.0 26573.0 26665.0 26755.0 26846.0 26938.0 27030.0 27120.0 27211.0 27303.0 27395.0 27485.0 27576.0 27668.0 27760.0 27851.0 27942.0 28034.0 28126.0 28216.0 28307.0 28399.0 28491.0 28581.0 28672.0 28764.0 28856.0 28946.0 29037.0 29129.0 29221.0 29312.0 29403.0 29495.0 29587.0 29677.0 29768.0 29860.0 29952.0 30042.0 30133.0 30225.0 30317.0 30407.0 30498.0 30590.0 30682.0 30773.0 30864.0 30956.0 31048.0 31138.0 31229.0 31321.0 31413.0 31503.0 31594.0 31686.0 31778.0 31868.0 31959.0 32051.0 32143.0 32234.0 32325.0 32417.0 32509.0 32599.0 32690.0 32782.0 32874.0 32964.0 33055.0 33147.0 33239.0 33329.0 33420.0 33512.0 33604.0 33695.0 33786.0 33878.0 33970.0 34060.0 34151.0 34243.0 34335.0 34425.0 34516.0 34608.0 34700.0 34790.0 34881.0 34973.0 35065.0 35156.0 35247.0 35339.0 35431.0 35521.0 35612.0 35704.0 35796.0 35886.0 35977.0 36069.0 36161.0 36251.0 36342.0 36434.0 36526.0 36617.0 36708.0 36800.0 36892.0 36982.0 37073.0 37165.0 37257.0 37347.0 37438.0 37530.0 37622.0 37712.0 37803.0 37895.0 37987.0 38078.0 38169.0 38261.0 38353.0 38443.0 38534.0 38626.0 38718.0 38808.0 38899.0 38991.0 39083.0 39173.0 39264.0 39356.0 39448.0 39539.0 39630.0 39722.0 39814.0 39904.0 39995.0 40087.0 40179.0 40269.0 40360.0 40452.0 40544.0 40634.0 40725.0 40817.0 40909.0 5.1 5.2 5.5 6.3 6.8 7.0 6.8 6.2 5.6 5.5 5.6 5.5 5.8 5.7 5.5 5.6 5.5 5.2 5.0 5.0 4.9 4.7 4.4 4.1 3.9 3.8 3.8 3.7 3.8 3.8 3.8 3.9 3.7 3.6 3.5 3.4 3.4 3.4 3.6 3.6 4.2 4.8 5.2 5.8 5.9 5.9 6.0 5.9 5.8 5.7 5.6 5.4 4.9 4.9 4.8 4.8 5.1 5.2 5.6 6.6 8.3 8.9 8.5 8.3 7.7 7.6 7.7 7.8 7.5 7.1 6.9 6.7 6.3 6.0 6.0 5.9 5.9 5.7 5.9 6.0 6.3 7.3 7.7 7.4 7.4 7.4 7.4 8.200000000000001 8.8 9.4 9.9 10.7 10.4 10.1 9.4 8.5 7.9 7.4 7.4 7.3 7.2 7.3 7.2 7.0 7.0 7.2 7.0 6.8 6.6 6.3 6.0 5.8 5.7 5.5 5.5 5.3 5.2 5.2 5.2 5.4 5.3 5.3 5.7 6.1 6.6 6.8 6.9 7.1 7.4 7.6 7.6 7.4 7.1 7.1 6.8 6.6 6.6 6.2 6.0 5.6 5.5 5.7 5.7 5.6 5.5 5.5 5.3 5.3 5.2 5.0 4.9 4.7 4.6 4.4 4.5 4.4 4.3 4.3 4.2 4.1 4.0 3.9 4.0 3.9 4.2 4.4 4.8 5.5 5.7 5.8 5.7 5.9 5.9 6.1 6.1 5.8 5.7 5.6 5.4 5.4 5.3 5.1 5.0 5.0 4.7 4.6 4.6 4.4 4.5 4.5 4.7 4.8 5.0 5.3 6.0 6.9 8.3 9.3 9.6 9.9 9.8 9.6 9.5 9.6 9.0 9.0 9.1 8.700000000000001 8.3 Natural Unemployment Rate 21916.0 22007.0 22098.0 22190.0 22282.0 22372.0 22463.0 22555.0 22647.0 22737.0 22828.0 22920.0 23012.0 23102.0 23193.0 23285.0 23377.0 23468.0 23559.0 23651.0 23743.0 23833.0 23924.0 24016.0 24108.0 24198.0 24289.0 24381.0 24473.0 24563.0 24654.0 24746.0 24838.0 24929.0 25020.0 25112.0 25204.0 25294.0 25385.0 25477.0 25569.0 25659.0 25750.0 25842.0 25934.0 26024.0 26115.0 26207.0 26299.0 26390.0 26481.0 26573.0 26665.0 26755.0 26846.0 26938.0 27030.0 27120.0 27211.0 27303.0 27395.0 27485.0 27576.0 27668.0 27760.0 27851.0 27942.0 28034.0 28126.0 28216.0 28307.0 28399.0 28491.0 28581.0 28672.0 28764.0 28856.0 28946.0 29037.0 29129.0 29221.0 29312.0 29403.0 29495.0 29587.0 29677.0 29768.0 29860.0 29952.0 30042.0 30133.0 30225.0 30317.0 30407.0 30498.0 30590.0 30682.0 30773.0 30864.0 30956.0 310 48.0 31138.0 31229.0 31321.0 31413.0 31503.0 31594.0 31686.0 31778.0 31868.0 31959.0 32051.0 32143.0 32234.0 32325.0 32417.0 32509.0 32599.0 32690.0 32782.0 32874.0 32964.0 33055.0 33147.0 33239.0 33329.0 33420.0 33512.0 33604.0 33695.0 33786.0 33878.0 33970.0 34060.0 34151.0 34243.0 34335.0 34425.0 34516.0 34608.0 34700.0 34790.0 34881.0 34973.0 35065.0 35156.0 35247.0 35339.0 35431.0 35521.0 35612.0 35704.0 35796.0 35886.0 35977.0 36069.0 36161.0 36251.0 36342.0 36434.0 36526.0 36617.0 36708.0 36800.0 36892.0 36982.0 37073.0 37165.0 37257.0 37347.0 37438.0 37530.0 37622.0 37712.0 37803.0 37895.0 37987.0 38078.0 38169.0 38261.0 38353.0 38443.0 38534.0 38626.0 38718.0 38808.0 38899.0 38991.0 39083.0 39173.0 39264.0 39356.0 39448.0 39539.0 39630.0 39722.0 39814.0 39904.0 39995.0 40087.0 40179.0 40269.0 40360.0 40452.0 40544.0 40634.0 40725.0 40817.0 40909.0 4.581707317073171 4.562195121951214 4.557317073170728 4.571951219512195 4.592682926829267 4.621951219512185 4.657317073170724 4.690243902439027 4.71951219512195 4.751219512195121 4.782926829268281 4.809756097560974 4.835365853658535 4.86219512195121 4.8890243902439 4.914634146341454 4.93170731707317 4.930487804878047 4.92804878048781 4.935365853658536 4.971951219512194 5.023170731707316 5.073170731707316 5.12439024390243 5.167073170731705 5.210975609756088 5.253658536585366 5.298780487804878 5.34024390243903 5.37926829268293 5.413414634146338 5.44390243902439 5.460975609756087 5.457317073170731 5.44024390243903 5.423170731707318 5.417073170731708 5.415853658536585 5.425609756097561 5.434146341463415 5.442682926829268 5.469512195121952 5.500000000000002 5.523170731707316 5.536585365853658 5.54390243902439 5.548780487804878 5.565853658536575 5.597560975609746 5.643902439024389 5.697560975609745 5.759756097560975 5.81951219512195 5.871951219512193 5.917073170731706 5.953658536585364 5.98170731707317 6.004878048780477 6.03170731707317 6.059756097560973 6.086585365853655 6.115853658536573 6.14634146341464 6.178048780487801 6.213414634146337 6.253658536585363 6.292682926829266 6.329268292682923 6.364634146341443 6.395121951219504 6.421951219512191 6.44634146341464 6.4682 9268292683 6.49024390243903 6.513414634146335 6.535365853658534 6.557317073170728 6.57926829268293 6.601219512195121 6.623170731707306 6.643902439024388 6.657317073170724 6.668292682926827 6.67926829268293 6.6890243902439 6.699999999999997 6.712195121951217 6.725609756097556 6.74390243902439 6.765853658536575 6.789024390243902 6.810975609756084 6.831707317073171 6.858536585365846 6.88170731707317 6.903658536585366 6.925609756097562 6.93902439024391 6.94878048780488 6.94878048780488 6.93536585365854 6.903658536585367 6.864634146341457 6.829268292682931 6.795121951219515 6.768292682926833 6.74024390243903 6.710975609756089 6.67926829268293 6.64878048780488 6.621951219512188 6.595121951219514 6.569512195121955 6.546 34146341464 6.52804878048781 6.508536585365856 6.489024390243903 6.469512195121952 6.451219512195128 6.42926829268293 6.404878048780485 6.375609756097562 6.335365853658538 6.289024390243905 6.250000000000002 6.213414634146337 6.181707317073172 6.158536585365847 6.128048780487806 6.09146341463415 6.04634146341464 5.997560975609756 5.939024390243903 5.886585365853658 5.837804878048765 5.79390243902439 5.759756097560975 5.73170731707317 5.70731707317073 5.682926829268277 5.658536585365844 5.632926829268277 5.604878048780477 5.57804878048781 5.549999999999998 5.520731707317069 5.489024390243902 5.45731707317073 5.42926829268293 5.403658536585365 5.384146341463405 5.36951219512195 5.359756097560974 5.354878048780477 5.360975609756083 5.37804878048781 5.414634146341454 5.464634146341454 5.51829268292683 5.575609756097561 5.62926829268293 5.681707317073172 5.732926829268284 5.780487804878049 5.815853658536578 5.845121951219506 5.87317073170732 5.895121951219506 5.909756097560977 5.886585365853659 5.860975609756085 5.835365853658538 5.812195121951222 5.792682926829268 5.77317073170732 5.757317073170729 5.743902439024391 5.73048780487805 5.721951219512197 5.715853658536578 5.714634146341464 5.714634146341464 5.712195121951221 5.709756097560977 5.708536585365855 5.708536585365855 5.708536585365855 5.710975609756088 5.713414634146336 5.717073170731709 5.723170731707317 5.73048780487805 5.74024390243903 5.751219512195123 5.764634146341454 5.776829268292685 5.79024390243903 5.80487804878048 5.819512195121952 5.835365853658537 5.852439024390244 5.870731707317074 5.89024390243903 5.908536585365854 5.92804878048781 5.943902439024392 5.957317073170731 5.965853658536584 5.965853658536584

Percent of labor force

EXPLAINING THE TREND: Sectoral shifts

1970–1986: volatile oil prices create jarring sectoral shifts

1986–2005: oil prices less volatile, so fewer sectoral shifts

2006–2012: oil price volatility increases – will the natural u-rate rise again?

Price per barrel of oil, in 2011 dollars

‹#›

CHAPTER 7 Unemployment

Earlier in the chapter, we learned that sectoral shifts are a source of job separations and lead to frictional unemployment. One would expect that a decrease in the frequency and magnitude of sectoral shifts would be associated with fewer job separations, less frictional unemployment, and a lower natural rate of unemployment.

Unfortunately, there is no single “index of sectoral shifts.” However, we know that large changes in oil prices are one important source of sectoral shifts. A significant fall in the price of oil causes a decrease in demand for workers at oil fields in Oklahoma and Texas, and an increase in demand for workers at factories that produce SUVs. A significant increase in oil prices would do the opposite.

The graph shows data on the price of oil since 1965.

During 1970-1985, the real price of oil fluctuated between $20 and $100. Also during this time, the natural rate of unemployment was rising.

During 1986-2002, the real price of oil was in the $20-40 range except for a brief spike during the Gulf War. Also during this time, the natural rate of unemployment was falling.

The data are roughly consistent with the notion that sectoral shifts contribute to the natural rate.

Note the recent increase in oil prices: from about $22 to $70 during 2002-2006:1. This represents a sectoral shift and may contribute to an increase in the natural rate of unemployment. Or maybe not, as oil consumption per dollar of GDP is lower today than in the 1970s and 1980s.

source: Dow Jones & Company

obtained from: http://research.stlouisfed.org/fred2/

30

Real oil prices 1965.0 1965.25 1965.5 1965.75 1966.0 1966.25 1966.5 1966.75 1967.0 1967.25 1967.5 1967.75 1968.0 1968.25 1968.5 1968.75 1969.0 1969.25 1969.5 1969.75 1970.0 1970.25 1970.5 1970.75 1971.0 1971.25 1971.5 1971.75 1972.0 1972.25 1972.5 1972.75 1973.0 1973.25 1973.5 1973.75 1974.0 1974.25 1974.5 1974.75 1975.0 1975.25 1975.5 1975.75 1976.0 1976.25 1976.5 1976.75 1977.0 1977.25 1977.5 1977.75 1978.0 1978.25 1978.5 1978.75 1979.0 1979.25 1979.5 1979.75 1980.0 1980.25 1980.5 1980.75 1981.0 1981.25 1981.5 1981.75 1982.0 1982.25 1982.5 1982.75 1983.0 1983.25 1983.5 1983.75 1984.0 1984.25 1984.5 1984.75 1985.0 1985.25 1985.5 1985.75 1986.0 1986.25 1986.5 1986.75 1987.0 1987.25 1987.5 1987.75 1988.0 1988.25 1988.5 1988.75 1989.0 1989.25 1989.5 1989.75 1990.0 1990.25 1990.5 1990.75 1991.0 1991.25 1991.5 1991.75 1992.0 1992.25 1992.5 1992.75 1993.0 1993.25 1993.5 1993.75 1994.0 1994.25 1994.5 1994.75 1995.0 1995.25 1995.5 1995.75 1996.0 1996.25 1996.5 1996.75 1997.0 1997.25 1997.5 1997.75 1998.0 1998.25 1998.5 1998.75 1999.0 1999.25 1999.5 1999.75 2000.0 2000.25 2000.5 2000.75 2001.0 2001.25 2001.5 2001.75 2002.0 2002.25 2002.5 2002.75 2003.0 2003.25 2003.5 2003.75 2004.0 2004.25 2004.5 2004.75 2005.0 2005.25 2005.5 2005.75 2006.0 2006.25 2006.5 2006.75 2007.0 2007.25 200 7.5 2007.75 2008.0 2008.25 2008.5 2008.75 2009.0 2009.25 2009.5 2009.75 2010.0 2010.25 2010.5 2010.75 2011.0 2011.25 2011.5 2011.75 2012.0 2012.25 2012.5 2012.75 2013.0 20.72453435602429 20.59290822483328 20.53226989203052 20.42427338582677 20.23498861047837 20.05352011627548 19.99711877241929 20.05822552686799 20.14184517851185 20.08734585582054 20.19924516417911 20.13117577582898 19.93516169590643 19.74292792401471 19.47950085714285 19.24145655180198 19.38013410656032 20.42007657892562 20.14362900387187 19.83905733333333 19.52663123359578 19.25723215903502 18.8323083032306 19.02813249999998 19.79819297323012 19.61789677419356 19.42509189189188 19.28295707317072 19.12760360970653 19.0048375 18.85391553191997 18.66077938017789 18.3719759254526 17.99561240980582 20.125909375 20.83818801297542 47.46762558139527 46.22930570140218 44.96462639937516 48.15516039403891 47.14748111933329 46.5864969924812 45.67051136049533 44.84415003528319 46.7319369767442 47.92023812056738 49.40385712041886 53.10061582921921 52.1435489864865 51.24928361529387 52.85136173383322 53.21982910258686 52.31978725429524 51.15598911070781 49.99277138569285 48.85738 49.79768559248554 55.00032152661056 77.08883388059701 90.05776185340559 100.6890388445333 107.3 698959608323 100.9445148799154 94.29799229843281 95.97081869150375 92.35994638341467 86.64900777092568 83.68314339799717 73.47152709302327 80.57066015401128 78.65672282937118 76.76037852409289 67.19702639795918 68.40937349822965 70.0181142857143 65.52538644906031 65.40883150790462 65.16033885990319 61.90983923371638 57.852317654321 56.52965596092861 57.69170593940298 57.19923530120482 59.47846098165137 34.46098878311901 28.3523307622463 28.0584771194166 30.91539429874985 36.2100008139535 38.03353547896381 39.61844115098847 35.94994433509923 31.93437669164523 32.64306479709435 28.29734350420168 27.09991454696592 33.61840944545357 36.57038461414025 34.3153048715891 35.8754264978111 37.6777864925449 30.73896259087392 44.742334 62325044 52.88211881106701 35.89233787945121 33.99651454262468 35.20586196925322 35.04847221072655 30.28488313730015 33.67111343777061 34.17934609375 32.0204166707737 30.77380650324673 30.45302595419848 27.29985344726354 25.02909307583221 22.42437782549421 26.75942591149099 27.58761089993282 26.18232923808308 27.02184177454314 28.24243324786317 25.93611693171188 26.23479767729343 28.3135794849968 30.89368799872122 31.65719909090909 34.5252805750408 31.70510113823582 27.63079158125 27.32207000621891 27.35961849357012 21.83776833333333 20.02131005395827 19.20814038330872 17.37307159437773 17.58885416401086 23.63069248706068 28.87159822368421 32.38632855200584 37.6098163021752 37.28628593677998 40.59424402890174 40.76200501627133 36.37348487777138 34.95807532757871 33.25565294736902 25.52719908169014 26.95124413844227 32.50745446238018 34.86888800829117 34.48036484848485 41.32333233351695 35.22485168271724 36.38000155612058 37.41442103784833 41.93807875200856 45.23794326316516 51.43654881790386 56.05000132183908 57.38448306102386 60.82469598331154 71.25505249237028 67.18675123089386 70.5281495836404 77.82314969667158 77.00025593231184 65.95757166156782 63.18344665397397 69.82724097545865 80.63405373691324 95.8519509240344 102.2385876157353 127.7249444506305 119.7177507961675 60.6163752460849 44.91069579585093 61.9408188840277 70.33510583848371 77.84595349855301 80.31740545525632 79.61033371686291 77.58860232558119 85.9692282228141 94.00201065636161 101.4177084006858 88.08419514718484 92.03562118949115 100.102837209608 90.71776875647285 89.08068221536321 84.65383345512085 90.27810880083391

Variation across demographic groups

Observations:

Younger workers have much higher U-rates. (High s).

Economists find that an employed white male is 4 times more likely to become unemployed if he is a teenager than if he is middle-aged.

U-rate much higher for blacks. (High s and f are the reasons.)

‹#›

CHAPTER 7 Unemployment

Unemployment in Europe, 1960–2012

Percent of labor force

‹#›

CHAPTER 7 Unemployment

Figure 7-5 on p.195.

Source: Bureau of Labor Statistics,

http://www.bls.gov/fls/home.htm

32

France 1970.0 1971.0 1972.0 1973.0 1974.0 1975.0 1976.0 1977.0 1978.0 1979.0 1980.0 1981.0 1982.0 1983.0 1984.0 1985.0 1986.0 1987.0 1988.0 1989.0 1990.0 1991.0 1992.0 1993.0 1994.0 1995.0 1996.0 1997.0 1998.0 1999.0 2000.0 2001.0 2002.0 2003.0 2004.0 2005.0 2006.0 2007.0 2008.0 2009.0 2010.0 2011.0 2012.0 2.5 2.8 2.9 2.8 2.9 3.6 4.0 4.5 4.6 5.2 5.6 6.6 6.9 7.3 8.5 9.0 9.0 9.200000000000001 8.9 8.3 8.0 8.200000000000001 9.1 10.2 10. 8 10.2 10.7 10.8 10.4 10.1 8.6 7.8 8.0 8.6 9.0 9.0 8.9 8.1 7.5 9.200000000000001 9.4 9.3 10.0 Germany 1970.0 1971.0 1972.0 1973.0 1974.0 1975.0 1976.0 1977.0 1978.0 1979.0 1980.0 1981.0 1982.0 1983.0 1984.0 1985.0 1986.0 1987.0 1988.0 1989.0 1990.0 1991.0 1992.0 1993.0 1994.0 1995.0 1996.0 1997.0 1998.0 1999.0 2000.0 2001.0 2002.0 2003.0 2004.0 2005.0 2006.0 2007.0 2008.0 2009.0 2010.0 2011.0 2012.0 0.5 0.6 0.7 0.7 1.6 3.4 3.4 3.4 3.3 2.9 2.8 4.0 5.6 6.9 7.1 7.2 6.6 6.3 6.3 5.7 5.0 5.6 6.7 8.0 8.5 8.200000000000001 9.0 9.9 9.3 8.5 7.8 7.9 8.6 9.3 10.3 11.2 10.3 8.700000000000001 7.6 7.8 7.1 6.0 5.5 Italy 1970.0 1971.0 1972.0 1973.0 1974.0 1975.0 1976.0 1977.0 1978.0 1979.0 1980.0 1981.0 1982.0 1983.0 1984.0 1985.0 1986.0 1987.0 1988.0 1989.0 1990.0 1991.0 1992.0 1993.0 1994.0 1995.0 1996.0 1997.0 1998.0 1999.0 2000.0 2001.0 2002.0 2003.0 2004.0 2005.0 2006.0 2007.0 2008.0 2009.0 2010.0 2011.0 2012.0 3.2 3.3 3.8 3.7 3.1 3.4 3.9 4.1 4.1 4.4 4.4 4.9 5.4 5.9 5.9 6.0 7.5 7.9 7.9 7.8 7.0 6.9 7.3 9.8 10.7 11.3 11.3 11.3 11.4 11.0 10.1 9.1 8.6 8.5 8.1 7.8 6.9 6.2 6.8 7.9 8.5 8.5 10.8 United Kingdom 1970.0 1971.0 1972.0 1973.0 1974.0 1975.0 1976.0 1977.0 1978.0 1979.0 1980.0 1981.0 1982.0 1983.0 1984.0 1985.0 1986.0 1987.0 1988.0 1989.0 1990.0 1991.0 1992.0 1993.0 1994.0 1995.0 1996.0 1997.0 1998.0 1999.0 2000.0 2001.0 2002.0 2003.0 2004.0 2005.0 2006.0 2007.0 2008.0 2009.0 2010.0 2011.0 2012.0 4.2 4.4 3.7 3.7 4.5 5.4 5.6 5.5 5.4 6.9 9.700000000000001 10.8 11.5 11.8 11.4 11.4 10.5 8.6 7.3 7.1 8.9 10.0 10.4 9.5 8.700000000000001 8.1 7.0 6.3 6.0 5.5 5.1 5.2 5.0 4.8 4.9 5.5 5.4 5.7 7.6 7.9 8.1 8.0

Why unemployment rose in Europe but not the U.S.

Shock Technological progress has shifted labor demand from unskilled to skilled workers in recent decades.

Effect in United States An increase in the “skill premium” – the wage gap between skilled and unskilled workers.

Effect in Europe Higher unemployment, due to generous govt benefits for unemployed workers and strong union presence.

‹#›

CHAPTER 7 Unemployment

33

Percent of workers covered by collective bargaining, selected countries

United States 13%
United Kingdom 35
Switzerland 48
Spain 80
Sweden 92
Germany 63
France 95
Greece 85

‹#›

CHAPTER 7 Unemployment

34

Table 7-1

Source: OECD.

The Rise of European Leisure

‹#›

CHAPTER 7 Unemployment

Why this difference?

Europeans face higher taxes, so discouraged to exert more work effort

Also high tax leads to underground economy which can result in such gap

Unions stronger in Europe than in US

Europeans are lazier (from my personal experience while living in UK).

‹#›

CHAPTER 7 Unemployment

CHAPTER SUMMARY

1. The natural rate of unemployment

definition: the long-run average or “steady state” rate of unemployment

depends on the rates of job separation and job finding

2. Frictional unemployment

due to the time it takes to match workers with jobs

may be increased by unemployment insurance

37

‹#›

CHAPTER 7 Unemployment

37

CHAPTER SUMMARY

3. Structural unemployment

results from wage rigidity: the real wage remains above the equilibrium level

caused by: minimum wage, unions, efficiency wages

4. Duration of unemployment

most spells are short term

but most weeks of unemployment are attributable to a small number of long-term unemployed persons

38

‹#›

CHAPTER 7 Unemployment

38

CHAPTER SUMMARY

5. Behavior of the natural rate in the U.S.

rose from 1960 to early 1980s, then fell

possible explanations: trends in real minimum wage, union membership, prevalence of sectoral shifts, and aging of the Baby Boomers

39

‹#›

CHAPTER 1 The Science of Macroeconomics

39

CHAPTER SUMMARY

6. European unemployment

has risen sharply since 1970

probably due to generous unemployment benefits, strong union presence, and a technology-driven shift in demand away from unskilled workers

40

‹#›

CHAPTER 1 The Science of Macroeconomics

40

U L =

s s + f

001

005, or 5%

001019

Us

Lsf

===

++

.

.

..

1.0%

12.8%

7.2%

79.0%

2009

4.2%

28.0%

9.9%

57.9%

Agriculture

Manufacturing

Other industry

Services

1960

Us

Lsf

=

+