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Testing for Asymmetric Employer Learning and Statistical Discrimination

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  • Ge, Suqin
  • Moro, Andrea
  • Zhu, Beibei

Abstract

We test if firms statistically discriminate workers based on race when employer learning is asymmetric. Using data from the NLSY79, we find evidence of asymmetric employer learning. In addition, employers statistically discriminate against non-college educated black workers at time of hiring. We also find that employers directly observe most of the productivity of college graduates at hiring and learn very little over time about these workers.

Suggested Citation

  • Ge, Suqin & Moro, Andrea & Zhu, Beibei, 2020. "Testing for Asymmetric Employer Learning and Statistical Discrimination," GLO Discussion Paper Series 569, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:569
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    References listed on IDEAS

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    1. Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 313-350.
    2. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
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    2. Sun, Qian, 2024. "Asymmetric employer learning and gender-based statistical discrimination in China," China Economic Review, Elsevier, vol. 87(C).
    3. Lepage, Louis Pierre, 2021. "Endogenous learning, persistent employer biases, and discrimination," CLEF Working Paper Series 34, Canadian Labour Economics Forum (CLEF), University of Waterloo.

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    Keywords

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    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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