For "JOYMERCY" Only!!! Assign #4
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C H A P T E R
Earnings and Discrimination
Microeconomics P R I N C I P L E S O F
N. Gregory Mankiw
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by Ron Cronovich
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In this chapter,
look for the answers to these questions:
How do wages compensate for differences in job
characteristics?
Why do people with more education earn higher
wages?
Why are wages sometimes above their equilibrium
values?
Why is it difficult to measure discrimination?
When might the market solve the problem of
discrimination? When might it not? 1
U.S. Median Weekly Earnings, Selected Occupations, 2006
Occupation Both
sexes Men Women
Gender
gap
Chief executives $1,875 $1,907 $1,422 34.1%
Aircraft pilots 1,407 1,419 n.e.d.
Educ. administrators 1,125 1,275 1017 25.4%
Fire fighters 912 918 n.e.d.
Registered nurses 978 1,074 971 10.6%
Social workers 732 749 728 2.9%
Secretaries 583 559 584 – 4.3%
Telemarketers 395 n.e.d. n.e.d
Waiters/waitresses 363 401 348 15.2%
Maids/housekeeping 355 404 348 16.1%
n.e.d. = not enough data for BLS disclosure requirements 2
EARNINGS AND DISCRIMINATION 3
Introduction
In competitive markets, the wages workers earn
equal the value of their marginal products.
There are many factors that affect productivity
and wages…
EARNINGS AND DISCRIMINATION 4
Compensating Differentials
Compensating differential: a difference in wages
that arises to offset the nonmonetary characteristics
of different jobs
These characteristics include unpleasantness,
difficulty, safety. Examples:
Coal miners and fire fighters are paid more
than other workers with similar education
to compensate them for the extra risks.
Night shift workers paid more than day shift
to compensate for the lifestyle disruption of
working at night.
EARNINGS AND DISCRIMINATION 5
Ability, Effort, and Chance
Greater ability or effort often command higher
pay. These traits increase workers’ marginal
products, make them more valuable to the firm.
Wages also affected by chance
E.g., new discoveries no one could have
predicted make some occupations obsolete,
increase demand in others
EARNINGS AND DISCRIMINATION 6
Ability, Effort, and Chance
Ability, effort, and chance are difficult to measure,
so it is hard to quantify their effects on wages.
They are probably important, though,
since easily measurable characteristics
(education, age, etc.) account for less than half
of the variation in wages in our economy.
EARNINGS AND DISCRIMINATION 7
Case Study: The Benefits of Beauty
Research by Hamermesh and Biddle:
People deemed more attractive than average
earn 5% more than people of average looks.
Average-looking people earn 5-10% more
than below-average looking people.
EARNINGS AND DISCRIMINATION 8
Case Study: The Benefits of Beauty
Hypotheses:
1. Good looks matter for productivity
In jobs where appearance is important,
attractive workers are more valuable to the
firm, command higher pay.
2. Good looks indirectly related to ability
People who make an effort to project
attractive appearance may be smarter or
more competent in other ways.
3. Discrimination
EARNINGS AND DISCRIMINATION 9
The Superstar Phenomenon
Superstars like Will Smith, Bono earn many
times more than average in their fields.
The best plumbers or carpenters do not.
Superstars arise in markets that have two
characteristics:
Every customer in the market wants to enjoy the
good supplied by the best producer.
The good is produced with a technology that
allows the best producer to supply every
customer at a low cost.
EARNINGS AND DISCRIMINATION 10
Human Capital
Human capital: the accumulation of
investments in people, such as education and
on-the-job training
Human capital affects productivity, and thus labor
demand and wages.
Weekly Earnings of Full-Time Employed
Persons Age 25+ by Education, 2007:Q4
Educational
attainment
Median weekly
earnings
Less than H.S. $ 424
H.S. diploma 610
Some college or
Associate degree 697
Bachelor’s degree 994
Advanced degree 1,259
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EARNINGS AND DISCRIMINATION 12
The Increasing Value of Skills
Women
Men
72%
87%
2005
35%
44%
1980
Percentage difference in annual
earnings for college graduates
vs. high school diploma
The earnings gap between
college-educated and
non-college-educated workers
has widened in recent decades.
EARNINGS AND DISCRIMINATION 13
The Increasing Value of Skills
Two hypotheses:
1. International trade
Rising exports of goods made with skilled labor,
rising imports of goods made with unskilled labor.
2. Skill-biased technological change
New technologies have increased demand for
skilled workers, reduced demand for unskilled
workers.
Difficult to determine which hypothesis
better explains the widening earnings gap;
probably both are important.
Suppose you were offered this choice:
A. Spend 4 years studying at the world’s best
university, but must keep your attendance
there a secret.
B. Get an official degree from the world’s best
university, but cannot actually study there.
Which do you think would enhance your future
earnings more?
A C T I V E L E A R N I N G 1
Discussion question
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EARNINGS AND DISCRIMINATION 15
The Signaling Theory of Education
An alternative view of education:
Firms use education level to sort between
high-ability and low-ability workers.
The difficulty of earning a college degree
demonstrates to prospective employers that
college graduates are highly capable.
Yet, the education itself has no impact on
productivity or skills.
Policy implication: Increasing general
educational attainment would not affect wages.
EARNINGS AND DISCRIMINATION 16
Reasons for Above-Equilibrium Wages
1. Minimum wage laws
The minimum wage may exceed the eq’m wage
of the least-skilled and experienced workers
2. Unions
Union: a worker association that bargains with
employers over wages and working conditions
Unions use their market power to obtain higher
wages; most union workers earn 10-20% more
than similar nonunion workers.
EARNINGS AND DISCRIMINATION 17
Reasons for Above-Equilibrium Wages
3. Efficiency wages
Efficiency wages: above-equilibrium wages paid
by firms to increase worker productivity
Firms may pay higher wages to reduce turnover,
increase worker effort, or attract higher-quality job
applicants.
In each case, identify which worker would earn more
and explain why.
A. The best physical therapist on the planet or
the best writer on the planet
B. A trucker that hauls produce or a trucker that
hauls hazardous waste from nuclear power plants
C. A graduate of an Ivy League college or an equally
intelligent & capable graduate of a state university
D. Someone who graduated from a state university
with a 3.7 GPA, or someone who graduated from
the same university with a 2.4 GPA
A C T I V E L E A R N I N G 2
Explaining wage differentials
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A. The best physical therapist on the planet or
the best writer on the planet
The superstar phenomenon:
The best writer can service many more customers
than the best physical therapist.
B. A trucker that hauls produce or a trucker that hauls
hazardous waste from nuclear power plants
Compensating differentials:
The hazardous waste hauler earns more to
compensate for the higher risks.
A C T I V E L E A R N I N G 2
Answers
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C. A graduate of an Ivy League college or an equally
intelligent & capable graduate of a state university
The signaling theory of education:
Employers assume the Ivy League grad has more
ability than the state university grad.
D. Someone who graduated from a state university
with a 3.7 GPA, or someone who graduated from
the same university with a 2.4 GPA
The human capital theory of education:
A higher GPA reflects greater learning, which
leads to higher productivity and wages.
A C T I V E L E A R N I N G 2
Answers
20
EARNINGS AND DISCRIMINATION 21
The Economics of Discrimination
Discrimination: the offering of different
opportunities to similar individuals who differ only
by race, ethnicity, gender, or other personal
characteristics
EARNINGS AND DISCRIMINATION 22
Measuring Labor-Market Discrimination
Median earnings of full-time U.S. workers, 2007:
White males earn 21% more than white females.
White males earn 24% more than black males.
Taken at face value, these differences look like
evidence that employers discriminate.
But there are many possible explanations for
wage differences besides discrimination; the data
above do not control for differences in other
factors that affect wages.
EARNINGS AND DISCRIMINATION 23
Measuring Labor-Market Discrimination Differences in human capital among groups:
White males 75% more likely to have college
degree than black males
White males 11% more likely to have graduate
degree than white females
Women have less on-the-job experience than men
Public schools in many predominantly black areas
are of lower quality (e.g., funding, class sizes)
There may well be discrimination in access to
education, but this problem occurs long before
workers enter the labor force.
EARNINGS AND DISCRIMINATION 24
Measuring Labor-Market Discrimination Recent study by Bertrand and Mullainathan finds
evidence of labor-market discrimination:
5000 fake résumés sent in response to
“help wanted” ads.
Half had names more common among blacks,
like Lakisha Washington or Jamal Jones.
The other half had names common among whites,
like Emily Walsh or Greg Baker.
Otherwise, the résumés were the same.
The white names received 50% more calls from
interested employers than the black names.
EARNINGS AND DISCRIMINATION 25
Discrimination by Employers
Competitive markets provide a natural remedy
for employer discrimination:
The profit motive…
EARNINGS AND DISCRIMINATION 26
The non-discriminating firms can hire females for a lower
wage, giving them a cost advantage and economic profits,
which attract entry of other non-discriminating firms.
DMDF
Suppose some firms discriminate against female workers.
They will hire fewer females, more males.
Result: A wage differential.
The discriminating firms will begin to lose money and be
driven out of the market.
Result: Demand for female workers increases,
demand for male workers falls until wages are equalized.
Discrimination by Employers
WM
LM
DM
SM
WM
Male workers WF
LF
DF
SF
WF
Female workers
DF
DM WF
WM
EARNINGS AND DISCRIMINATION 27
Discrimination by Consumers
Discrimination by consumers may result in
discriminatory wage differentials.
Suppose firms care only about maximizing
profits, but customers prefer being served by
whites.
Then firms have an incentive to hire white
workers, even if non-whites are willing to work
for lower wages.
EARNINGS AND DISCRIMINATION 28
Discrimination by Governments
Some government policies mandate
discriminatory practices.
apartheid in South Africa before 1994
early 20th century U.S. laws requiring
segregation in buses and streetcars
Such policies prevent the market from correcting
discriminatory wage differentials.
EARNINGS AND DISCRIMINATION 29
CONCLUSION In competitive markets, workers are paid a wage
that equals the value of their marginal products.
Many factors affect the value of marginal products
and equilibrium wages.
The profit motive can correct discrimination by
employers, but not discrimination by customers or
discriminatory policies of governments.
Even without discrimination, the distribution of
income may not be equitable or desirable –
a topic we explore in the following chapter.
CHAPTER SUMMARY
Other things equal, wage differences compensate
workers for job attributes: The harder or less
pleasant a job, the more a worker is compensated.
Workers with more human capital are more
productive and command higher wages than
workers with less human capital.
Workers with college degrees may get better job
offers because the degree signals high natural
ability to employers.
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CHAPTER SUMMARY
Wages also may differ with natural ability, effort,
and chance.
Wages are sometimes above their equilibrium
levels, due to minimum wage laws, the market
power of labor unions, and efficiency wages.
Some differences in earnings are due to
discrimination on the basis of race or other
characteristics. Measuring the amount of
discrimination is difficult, though. 31
CHAPTER SUMMARY
The profit motive tends to limit the impact of
employer discrimination on wages.
Discrimination by consumers or governments may
lead to persisting wage differentials.
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