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Racial/Ethnic Differences in Non-Work at Work

Author

Listed:
  • Daniel S. Hamermesh
  • Katie R. Genadek
  • Michael Burda

Abstract

Evidence from the American Time Use Survey 2003-12 suggests the existence of small but statistically significant racial/ethnic differences in time spent not working at the workplace. Minorities, especially men, spend a greater fraction of their workdays not working than do white non-Hispanics. These differences are robust to the inclusion of large numbers of demographic, industry, occupation, time and geographic controls. They do not vary by union status, public-private sector attachment, pay method or age; nor do they arise from the effects of equal-employment enforcement or geographic differences in racial/ethnic representation. The findings imply that measures of the adjusted wage disadvantages of minority employees are overstated by about 10 percent.

Suggested Citation

  • Daniel S. Hamermesh & Katie R. Genadek & Michael Burda, 2017. "Racial/Ethnic Differences in Non-Work at Work," NBER Working Papers 23096, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23096
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    References listed on IDEAS

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    1. Hamermesh, Daniel S. & Burda, Michael & Genadek, Katie R., 2015. "Not Working At Work: Loafing, Unemployment and Labor Productivity," CEPR Discussion Papers 10712, C.E.P.R. Discussion Papers.
    2. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
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    4. Elizabeth Ananat & Shihe Fu & Stephen L. Ross, 2013. "Race-Specific Agglomeration Economies: Social Distance and the Black-White Wage Gap," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    5. Abhijit Banerjee & Esther Duflo & Gilles Postel-Vinay & Tim Watts, 2010. "Long-Run Health Impacts of Income Shocks: Wine and Phylloxera in Nineteenth-Century France," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 714-728, November.
    6. Daniel S. Hamermesh & Jungmin Lee, 2007. "Stressed Out on Four Continents: Time Crunch or Yuppie Kvetch?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 374-383, May.
    7. Michael C. Burda & Daniel S. Hamermesh & Jay Stewart, 2013. "Cyclical Variation in Labor Hours and Productivity Using the ATUS," American Economic Review, American Economic Association, vol. 103(3), pages 99-104, May.
    8. Hellerstein, Judith K & Neumark, David & Troske, Kenneth R, 1999. "Wages, Productivity, and Worker Characteristics: Evidence from Plant-Level Production Functions and Wage Equations," Journal of Labor Economics, University of Chicago Press, vol. 17(3), pages 409-446, July.
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    10. D’Haultfœuille, Xavier & Maurel, Arnaud & Zhang, Yichong, 2018. "Extremal quantile regressions for selection models and the black–white wage gap," Journal of Econometrics, Elsevier, vol. 203(1), pages 129-142.
    11. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
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    Cited by:

    1. Djoumessi, Berenger Tiague, 2022. "Air Pollution, Avoidance Behavior and Labor Supply: Evidence from the United States," SocArXiv czpf4, Center for Open Science.
    2. William A. Darity Jr. & Darrick Hamilton & Samuel L. Myers Jr. & Gregory N. Price & Man Xu, 2022. "Racial Differences in Time at Work Not Working," ILR Review, Cornell University, ILR School, vol. 75(3), pages 552-572, May.

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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
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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