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Task-Based Discrimination

Author

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  • Erik Hurst
  • Yona Rubinstein
  • Kazuatsu Shimizu

Abstract

Why did the Black-White wage gap converge from 1960 to 1980 and why has it stagnated since? To answer this question, we introduce a unified model that integrates notions of both taste-based and statistical discrimination into a task-based model of occupational sorting. At the heart of our framework is the idea that discrimination varies by the task requirement of each job. We use this framework to identify and quantify the role of trends in race-specific factors and changing task prices in explaining the evolution of the Black-White wage gap since 1960. In doing so, we highlight a new task measure - Contact tasks – which measures the extent to which individuals interact with others as part of their job. We provide evidence that changes in the racial gap in Contact tasks serves as a good proxy for changes in taste-based discrimination over time. We find that taste-based discrimination has fallen and racial skill gaps have narrowed over the last sixty years in the United States. However, since the 1980s, the effect of declining racial skill gaps and discrimination on the Black-White wage gap were offset by the increasing returns to Abstract tasks which, on average, favored White workers relative to Black workers.

Suggested Citation

  • Erik Hurst & Yona Rubinstein & Kazuatsu Shimizu, 2021. "Task-Based Discrimination," NBER Working Papers 29022, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:29022
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    References listed on IDEAS

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    1. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    2. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2013. "Does Indivisible Labor Explain the Difference between Micro and Macro Elasticities? A Meta-Analysis of Extensive Margin Elasticities," NBER Macroeconomics Annual, University of Chicago Press, vol. 27(1), pages 1-56.
    3. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
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    Cited by:

    1. Christopher F. Baum & Hans Lööf & Andreas Stephan & Klaus F. Zimmermann, 2024. "Estimating the Wage Premia of Refugee Immigrants: Lessons from Sweden," ILR Review, Cornell University, ILR School, vol. 77(4), pages 562-597, August.
    2. Bhagia, Div & Bryson, Carter, 2023. "Understanding the racial employment gap: The role of sectoral shifts," Labour Economics, Elsevier, vol. 84(C).
    3. Samuel Cole & Zachary Cowell & John M. Nunley & R. Alan Seals Jr, 2022. "The Distribution of Occupational Tasks in the United States: Implications for a Diverse and Aging Population," Papers 2205.00497, arXiv.org.
    4. Yashiv, Eran, 2021. "Moving from a poor economy to a rich one: A job tasks approach," Labour Economics, Elsevier, vol. 72(C).
    5. Hope Bodenschatz & Gerald Eric Daniels Jr. & Jeffrey P. Thompson, 2023. "Decomposing Lifetime-Earnings Differences between White, Black, and Hispanic Families," Working Papers 23-14, Federal Reserve Bank of Boston.

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    More about this item

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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