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A Test of Screening Discrimination with Employer Learning

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  • Joshua C. Pinkston

Abstract

This paper tests for the presence of screening discrimination, a type of statistical discrimination that occurs when employers are less able to evaluate the ability of workers from one group than from another. Using data from the 2000 release of the NLSY79, the author examines wage equations in a framework of employer learning to test the hypothesis that the market receives less reliable productivity signals at labor market entry from black men than from white men. The estimation results support this hypothesis. Variables that are difficult for employers to observe, such as the AFQT score, had less influence on the wages of black men (and easily observed variables had more influence) than on the wages of white men. The influence of hard-to-observe variables on wages, however, increased faster with experience for black men.

Suggested Citation

  • Joshua C. Pinkston, 2006. "A Test of Screening Discrimination with Employer Learning," ILR Review, Cornell University, ILR School, vol. 59(2), pages 267-284, January.
  • Handle: RePEc:sae:ilrrev:v:59:y:2006:i:2:p:267-284
    DOI: 10.1177/001979390605900205
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    References listed on IDEAS

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    Cited by:

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    2. Hornig, Stephan O. & Rottmann, Horst & Wapler, Rüdiger, 2011. "Sorting on the labour market: A literature overview and theoretical framework," Weidener Diskussionspapiere 27, University of Applied Sciences Amberg-Weiden (OTH).
    3. Wang, Jun & Li, Bo, 2020. "Does employer learning with statistical discrimination exist in China? Evidence from Chinese Micro Survey Data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 319-333.
    4. Light, Audrey & McGee, Andrew, 2015. "Does employer learning vary by schooling attainment? The answer depends on how career start dates are defined," Labour Economics, Elsevier, vol. 32(C), pages 57-66.
    5. Lehdonvirta, Vili & Kässi, Otto & Hjorth, Isis & Barnard, Helena & Graham, Mark, 2018. "The Global Platform Economy: A New Offshoring Institution Enabling Emerging-Economy Microproviders," SocArXiv jt4z7, Center for Open Science.
    6. Yariv Fadlon, 2015. "Statistical Discrimination and the Implication of Employer-Employee Racial Matches," Journal of Labor Research, Springer, vol. 36(2), pages 232-248, June.
    7. ZHANGALIYEVA, Aigerim & NAKABAYASHI, Masaki, 2013. "Legacy of Czar: The Russian Dual System of Schooling and Signaling," ISS Discussion Paper Series (series F) f163, Institute of Social Science, The University of Tokyo, revised 04 Sep 2019.
    8. James Fain, 2016. "Screening Discrimination in a Broader Context," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(4), pages 276-294, October.
    9. Daniel Auer, 2022. "Firing discrimination: Selective labor market responses of firms during the COVID-19 economic crisis," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-30, January.
    10. Charness, Gary & Cobo-Reyes, Ramón & Meraglia, Simone & Sánchez, Ángela, 2020. "Anticipated Discrimination, Choices, and Performance: Experimental Evidence," European Economic Review, Elsevier, vol. 127(C).
    11. Audrey Light & Andrew McGee, 2015. "Employer Learning and the “Importance†of Skills," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 72-107.
    12. Emiko Usui & Seik Kim, 2013. "Employer Learning, Job Mobility, and Wage Dynamics," 2013 Meeting Papers 912, Society for Economic Dynamics.
    13. Audrey Light & Andrew McGee, 2011. "Employer Learning and the “Importance” of Skills," Working Papers 11-02, Ohio State University, Department of Economics.
    14. Ashley C. Craig, 2023. "Optimal Income Taxation with Spillovers from Employer Learning," American Economic Journal: Economic Policy, American Economic Association, vol. 15(2), pages 82-125, May.
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    16. Lena Hensvik & Oskar Nordström Skans, 2016. "Social Networks, Employee Selection, and Labor Market Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 825-867.
    17. Joanna N. Lahey & Douglas R. Oxley, 2021. "Discrimination at the Intersection of Age, Race, and Gender: Evidence from an Eye‐Tracking Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(4), pages 1083-1119, September.
    18. Mari, Gabriele & Luijkx, Ruud, 2020. "Gender, Parenthood, and Hiring Intentions in Sex-Typical Jobs: A Survey Experiment," SocArXiv kwdyp, Center for Open Science.
    19. Seik Kim & Emiko Usui, 2021. "Employer learning, job changes, and wage dynamics," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 1286-1307, July.
    20. Keng, Shao-Hsun, 2020. "Gender bias and statistical discrimination against female instructors in student evaluations of teaching," Labour Economics, Elsevier, vol. 66(C).
    21. Malte Sandner & Ipek Yükselen, 2025. "Unraveling the gender wage gap: Exploring early career patterns among university graduates," Scottish Journal of Political Economy, Scottish Economic Society, vol. 72(2), May.
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