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Racial/Ethnic Differences in Non-Work at Work

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  • Burda, Michael

Abstract

Die Erhebung "American Time Use Survey" belegt kleine, statistisch signifikante Unterschiede der tatsächlichen Arbeitszeit am Arbeitsplatz nach ethnischen Minderheiten in den USA. Minderheitsbedingte Differenziale der geleisteten Arbeit werden nach Berücksichtigung von einer großen Anzahl von demografischen, beruflichen und geografischen Kontrollvariablen robust geschätzt. Die Ergebnisse deuten auf eine Überzeichnung des geschätzen Lohnnachteils von Minderheiten von etwa 10 Prozent hin.

Suggested Citation

  • Burda, Michael, 2017. "Racial/Ethnic Differences in Non-Work at Work," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168183, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc17:168183
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    References listed on IDEAS

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    1. Mark Aguiar & Erik Hurst & Loukas Karabarbounis, 2013. "The Life-Cycle Profile of Time Spent on Job Search," American Economic Review, American Economic Association, vol. 103(3), pages 111-116, May.
    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.
    3. Abhijit Banerjee & Esther Duflo & Gilles Postel-Vinay & Timothy M. Watts, 2007. "Long Run Health Impacts of Income Shocks: Wine and Phylloxera in 19th Century France," NBER Working Papers 12895, National Bureau of Economic Research, Inc.
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    5. 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.
    6. 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.
    7. 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.
    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.
    9. 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.
    10. 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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