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

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Author Info
Judith Hellerstein () (Department of Economics, University of Maryland)
David Neumark () (Department of Economics, University of California-Irvine)

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Abstract

We study workplace segregation in the United States using a unique matched employer-employee data set that we have created. We present measures of workplace segregation by education and language, and by race and ethnicity, and ­ since skill is often correlated with race and ethnicity ­ we assess the role of education- and language-related skill differentials in generating workplace segregation by race and ethnicity. We define segregation based on the extent to which workers are more or less likely to be in workplaces with members of the same group, and we measure segregation as the observed percentage relative to maximum segregation. Our results indicate that there is considerable segregation by education and language in the workplace. Among whites, for example, observed segregation by education is 17% (of the maximum), and for Hispanics, observed segregation by language ability is 29 percent. Racial (black-white) segregation in the workplace is of a similar magnitude to education segregation (14%), and ethnic (Hispanic-white) segregation is somewhat higher (20%). Only a tiny portion (3%) of racial segregation in the workplace is driven by education differences between blacks and whites, but a substantial fraction of ethnic segregation in the workplace (32 percent) can be attributed to differences in language proficiency. Finally, additional evidence suggests that segregation by language likely reflects complementarity among workers speaking the same language

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Publisher Info
Paper provided by University of California-Irvine, Department of Economics in its series Working Papers with number 060710.

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Length: 53 pages
Date of creation: Oct 2006
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Handle: RePEc:irv:wpaper:060710

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Postal: Irvine, CA 92697-3125
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Related research
Keywords: Segregation Language Skill Race Ethnicity

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Find related papers by JEL classification:
J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities and Races; 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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References listed on IDEAS
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  21. Darity, William A, Jr & Mason, Patrick L, 1998. "Evidence on Discrimination in Employment: Codes of Color, Codes of Gender," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 63-90, Spring. [Downloadable!] (restricted)
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  24. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October. [Downloadable!]
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  25. Carrington, William J & Troske, Kenneth R, 1997. "On Measuring Segregation in Samples with Small Units," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 402-09, October.
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  30. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259 Elsevier. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Åslund, Olof & Nordström Skans, Oskar, 2007. "How to Measure Segregation Conditional on the Distribution of Covariates," Working Paper Series 2007:27, Uppsala University, Department of Economics. [Downloadable!]
  2. Åslund, Olof & Nordström Skans, Oskar, 2005. "Will I see you at work? Ethnic workplace segregation in Sweden 1985–2002," Working Paper Series 2005:24, IFAU - Institute for Labour Market Policy Evaluation. [Downloadable!]
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