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Workplace Segregation in the United States: Race, Ethnicity, and Skill

Author

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  • Judith Hellerstein
  • David Neumark

Abstract

We study workplace segregation in the United States using a unique matched employer-employee dataset that we have created. We first present measures of workplace segregation by race and ethnicity, using simulation methods to measure segregation beyond what would occur randomly as workers are distributed across establishments. We then assess the role of skill differentials in generating workplace segregation, as skilled workers may be more complementary with other skilled workers than with unskilled workers, and skill is often correlated with race and ethnicity. Specifically, we measure the extent of segregation by education level and quality as well as by language ability, providing informative contrasts with measures of segregation by race and ethnicity. Finally, we attempt to distinguish between segregation by skill based on general crowding of the unskilled into a narrow set of jobs versus segregation based on common language for reasons such as complementarity among workers speaking the same language. Our results consistently indicate that workplace segregation by race and ethnicity is driven in large part by skill differences across workers.

Suggested Citation

  • Judith Hellerstein & David Neumark, 2004. "Workplace Segregation in the United States: Race, Ethnicity, and Skill," PPIC Working Papers 2004.05, Public Policy Institute of California.
    • Handle: RePEc:ppi:ppicwp:2004.05
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    References listed on IDEAS

    as
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    More about this item

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • 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

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