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Effects of Peer Groups on the Gender-Wage Gap and Life After the MBA: Evidence from the Random Assignment of MBA Peers

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  • Mallika Thomas

    (Federal Reserve Bank of Minneapolis)

Abstract

Using the historical random assignment of MBA students to peer groups at a top business school in the United States, I study the effect of the gender composition of a student’s peers on the gender pay gap at graduation and long-term labor market outcomes. I find that a 10 percentage point increase in the share of male peers leads to a 2.1 percent increase in the relative earnings of female students at graduation, closing the gender gap in earnings at graduation by two-thirds. The effects on women’s long-term earnings grow even larger with time. Using novel data on job offers, I find that two different mechanisms drive the effects on short- and long-term earnings. Women with a greater share of male peers take more quantitative coursework in business school and receive job offers at graduation in occupations, industries, and firms associated with higher wages, longer hours, and greater earnings growth. However, the effect of male peers on women’s earnings at graduation is primarily driven by female students’ increased willingness to accept the maximum salary offered within their offer set. In contrast, peer-induced effects on human capital alone place female students on dramatically different long-term expected earnings paths due to changes in the initial occupation, initial industry, and initial firm accepted at graduation. This change in the characteristics of the first job at graduation largely explains the effect of peer gender composition on long-term outcomes.

Suggested Citation

  • Mallika Thomas, 2024. "Effects of Peer Groups on the Gender-Wage Gap and Life After the MBA: Evidence from the Random Assignment of MBA Peers," Upjohn Working Papers 24-402, W.E. Upjohn Institute for Employment Research.
  • Handle: RePEc:upj:weupjo:24-402
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    More about this item

    Keywords

    peer groups; gender gap; MBA students; course work; job offers; long-term earnings;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations

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