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Labor Market Discrimination

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Female doctors average lower incomes than is true for male doctors. ... but does a much poorer job of predicting for one ... Hobbies, dress, actions, etc. ... – PowerPoint PPT presentation

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Title: Labor Market Discrimination


1
Labor Market Discrimination
2
Discrimination?
  • It is found that of 32 new hires, only 3 are
    female.
  • The Tiki Room only hires Asian female wait staff.
  • Jim, who is a member of a minority group, gathers
    information about salaries of other persons in
    his firm with the same years of experience and
    education. He finds that their average salary is
    20 higher than his.
  • Female doctors average lower incomes than is true
    for male doctors.
  • Males pay higher insurance for automobiles than
    is paid by females when both are under 26.
  • When males and females pay identical amounts into
    their pensions, males average less total pension
    payment..

3
Discrimination?
  • On average, people who are considered beautiful
    are more likely to be hired and make more money
    on average than others.
  • Only 14 of the American male population is
    taller than six feet. Fifty-eight percent of
    American CEOs are taller than six feet. On
    average males taller than 6 earn hundreds of
    thousands of dollars more over their lifetime
    than vertically challenged males.

4
Labor Market Discrimination
  • Discriminate to make a difference in treatment
    or favor on a basis other than individual merit
  • Discrimination
  • the act, or practice or the instance of
    discriminating categorically rather than
    individually
  • prejudiced or prejudicial outlook, action or
    treatment

5
Labor Market Discrimination
  • Two separate ideas treatment vs prejudice
  • Labor Market Discrimination focuses on TREATMENT
  • How can we measure treatment?
  • Result or process?
  • Different outcomes
  • Different opportunities to achieve the same
    outcome
  • Timing When does discrimination begin or end?

6
Labor Market Discrimination
  • Definition of LMD the valuation in the labor
    market of personal characteristics which are not
    related to productivity
  • Emphasis Different outcomes in the labor market
    FOR OTHERWISE equal groups
  • Differences in productivity are assumed to come
    from PRE-MARKET conditions and are NOT considered
    LMD

7
Labor Market Discrimination
  • What does this definition of discrimination miss?
  • Many differences in productivity are due to
    unequal access to things that improve individual
    productivity (education, experience,training).
  • Expectations of labor market returns will
    influence individual investments that affect
    their productivity.

8
Legal Definitions of Discrimination
  • Disparate Treatment Contains LMD treatment
    that might not lead to different economic
    results
  • Disparate Impact The use of hiring criteria
    that lead to different results for protected
    groups even though they may not, on the surface,
    appear to be discriminatory

9
Statistical Discrimination
  • Due to uncertainty, employers use characteristics
    of an individual to predict her productivity on
    the job
  • education
  • experience
  • marital status
  • gender
  • race

10
Statistical Discrimination
  • Even though the characteristic predicts
    accurately for the GROUP, it may not predict
    accurately for the individual in the group. This
    is especially true when we are considering
    historical characteristics of a group. E.g.
    womens turnover characteristics. When this
    occurs we say that the employee experiences
    statistical discrimination

11
Statistical Discrimination
  • Statistical discrimination does not come from
    prejudice, but rather from a problem in
    predicting performance under uncertainty.
  • Statistical discrimination typically will occur
    when different groups bring different
    characteristics to the labor market that make
    their PREDICTED performance different. The
    prediction can be right on average, but easily
    wrong for an individual.
  • Profiling in its various forms is an example of
    statistical discrimination. When should it be
    banned?
  • Driving while black?
  • Terrorist identification?
  • Insurance?

12
Statistical Discrimination Using Preemployment
Tests
  • There are two other types of statistical
    discrimination that we should worry about
  • biased tests
  • unbiased, but inefficient tests
  • Test bias A test under predicts for one group.
    Why?
  • Test inefficiency A test predicts correctly on
    average, but does a much poorer job of predicting
    for one group as opposed to another.

13
Unequal test results ? Bias
  • Many people believe that unequal test scores for
    different groups mean that the test is biased.
    This is a misunderstanding of what bias means.
  • A test for bias must contain both test results
    AND performance results. A test would only be
    biased against a group if it under predicts the
    performance of that group
  • Almost all tests that are now used to predict
    education performance and performance on the job
    have been shown to be unbiased.

14
Test Inefficiency
  • Groups 1 2 have the same mean test score and
    performance.
  • The test predicts more accurately for Group 1
  • The ex post performance of Group 1 will be better
    than Group 2

15
Test Inefficiency
  • Inefficient tests can lead to employees from one
    group appearing to be poor workers. This is due
    to the ability to pick good workers from the
    other group.
  • Any characteristic that is used in hiring can act
    this way. Hobbies, dress, actions, etc.
  • Since employers can choose better from one group,
    you will see that the probability of anyone from
    the other group being hired is low

16
Government Programs
  • Civil Rights Act of 1964
  • race,color,religion,sex,national origin
  • age and disability added later
  • EEOC established for class action suits
  • not retroactive
  • seniority systems are not discriminatory even
    though they yield discriminatory outcomes
  • disparate treatment versus disparate impact

17
Government Programs
  • Griggs vs Duke Power 1971
  • Set the standard for plaintiffs burden showing
    disparate impact
  • Requires an affirmative defense must show
    business necessity
  • Comparable worth?
  • Fed Contract Compliance Program 1965
  • requires affirmative action program
  • De facto quotas?
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