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    1Empirical Labor Economics

    Changes in the Wage

    Structure: Explanations

    Empirical Labor Economics

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    Explanations

    2

    1. Educational Production

    2. Immigration

    3. Biased Technical Change and Organizational Change

    4. International Trade and Outsourcing

    5. Institutions and Wage Compression

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    3

    Educational Production

    David Card and Thomas Lemieux (2001, QJE): Can falling supply explain the

    rising return to college for younger men? A cohort-based analysis

    Comparison of U.S., U.K. and Canada.

    Cohort-based analysis: Comparing college-high school gap for different agegroups (young vs. old).

    Authors argue that the changing structure of the college-high school gap is

    a reflection of intercohort shifts in the relative supply of highly educated

    workers.

    Driving force is the slowdown of the rate of growth in educational attainmentbeginning with cohorts born in the early 1950s.

    Basic ingredient: imperfect substitution between younger and older workers.

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    4

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    5

    Estimated College-High School Wage

    Differentials for Younger and Older Men

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    6

    Estimated College-High School Wage

    Differentials for Younger and Older Men

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    7

    Estimated College-High School Wage

    Differentials for Younger and Older Men

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    8

    Theoretical framework

    Aggregate output depends on two CES subaggregates of high-school and

    college labor:

    (1)

    (2)

    where is a function of the partial elasticity of substitution

    between different age groupsjwith the same level of education ;

    and relative efficiency parameters.

    1/[ ( )]t j jt j

    H H =

    1/[ ( )]t j jt j

    C C =

    1 > A

    ( 1 1/ )A =

    j j

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    9

    Theoretical framework

    Aggregate output in period t, yt,is a function of high school labor, college

    labor, and the technical efficiency parameters and .

    (3)

    Aggregate production function:

    (4)

    where is a function of the elasticity of substitution

    between the two education groups ;

    ( , ; , )t t t ht ct

    y f H C =

    1 > E

    ( 1 1/ )E =

    ht

    ct

    1/( )t ht t ct t

    y H C = +

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    10

    Theoretical framework

    Marginal product of high-school workers in age group j:

    (5)

    (6)

    (7)

    where (8)

    yt yt t

    jt t jt

    H

    H H H

    =

    1 1 1

    ht t t j jt t H H H

    = 1

    ht t t j jt H H

    =

    1/ 1( )t ht t ct t

    H C = +

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    11

    Theoretical framework

    Efficient utilization of different skill groups requires that relative wages are

    equated to relative marginal products which implies the following equation:

    (9)

    ,where and are the wage rates of college workers and high

    school workers respectively.

    log( ) log( ) ( ) log( ) log( ) ( 1) log( )

    c cjt j jtt t

    h h

    jt t t j jt

    CC

    H H

    = + + +

    c

    jt h

    jt

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    12

    Theoretical framework

    This equation leads to a model of the observed college-high school wage gap ofworkers in age group j in year t:

    (10)

    (11)

    log( )

    c

    jt

    jt h

    jt

    r

    =

    1 1 1log( ) log( ) ( ) log( ) ( ) og( )c j jtt t

    jth

    t j A E t A jt

    CCl e

    H H

    = + + +

    log( ) log( )c

    jtjt h

    t j

    r

    = +

    1 1( ) log( ) [log( ) log( )]

    jtt tjt

    E t A jt t

    CC Ce

    H H H +

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    13

    Theoretical framework

    Suppose that the log supply ratio for workers who are of age j in year t consists

    of a cohort effect for the group, , and an age effect that is common

    across cohorts:

    (12)

    This implies:

    (13)

    log( / )jt jt t j j

    C H

    = +

    log( ) log( )c

    jt

    jt h

    t j

    r

    = +

    1 1 1 1( ) ( ) log( ) ( )t

    j t j jt

    A A E t A

    Ce

    H

    + +

    t j j

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    14

    Implementation

    Problem: Aggregate supplies of two labor inputs depend on the elasticities ofsubstitution across age groups.

    Solution: Three step estimation approach

    1. Estimate : (14)

    2. Compute the relative efficiency parameters and using the estimate

    ( ) from the first stage:

    and (15)

    (16)

    3. Estimate equation (11) using the estimates from the first and secondstage.

    j j

    A (1/ ) log( / )jt j t A jt jt jtr b d C H e= + +

    1/ A

    log( ) 1/ log log( ) loghjt A jt ht t t jH H + = +

    log( ) 1/ log log( ) logc

    jt A jt ct t t jC C

    + = +

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    15

    College-High School Wage Differentials

    by Age and Year

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    16

    College-High School Wage Differentials

    by Age and Year (cont.)

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    17

    College-High School Wage Differentials

    by Age and Year (cont.)

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    18

    Age Profiles of the College-High School

    Wage Gap

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    19

    Age Profiles of the College-High School

    Wage Gap

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    20

    Age Profiles of the College-High School

    Wage Gap

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    21

    Decompositions of College-High School

    Wage Differentials by Age and Year into

    Cohort, Age, and Time Effects

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    22

    Decompositions of College-High School

    Wage Differentials by Age and Year into

    Cohort, Age, and Time Effects (cont.)

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    Lecture #12 23

    Age-Group Specific Relative Supplies of

    College-Educated Labor

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    24

    Relative Supply of College-Educated

    Workers by Cohort

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    Estimated Models for the College-High

    School Wage Gap, by Cohort and Year

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    26

    Models for the College-High School Wage

    Gap, by Cohort and Year

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    Aggregate Relative Supply Index for Men

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    Robustness of the Results to Alternative

    Measures of the College-High School Wage

    Gap, United States

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    Lecture #12 29

    Models for the College-High School Wage Gap

    Men and Women,

    United States,

    by Cohort and Year

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    Explanations for Changes in College

    Enrollment

    Changing costs for college

    Changing returns to college

    Change in interest rates

    Changes in college enrollment associated with the Vietnam war

    Changes in unemployment rates

    Changes in cohort size