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Equilibrium Unemployment: The Role of Discrimination

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Abstract

U.S. labor markets are increasingly diverse and persistently unequal between genders, races and ethnicities, skill levels, and age groups. We use a structural model to decompose the observed differences in labor market outcomes across demographic groups in terms of underlying wedges in fundamentals. Of particular interest is the potential role of discrimination, either taste-based or statistical. Our model is a version of the Diamond-Mortensen-Pissarides model extended to include a life cycle, learning by doing, a nonparticipation state, and informational frictions. The model exhibits group-specific wedges in initial human capital, returns to experience, matching efficiencies, and job separation rates. We use the model to reverse engineer group-specific wedges that we then feed back into the model to assess the fraction of various disparities they account for. Applying this methodology to 1998–2018 U.S. data, we show that differences in initial human capital, returns to experience, and job separation rates account for most of the demographic disparities; wedges in matching efficiencies play a secondary role. Our results suggest a minor aggregate impact of taste-based discrimination in hiring and an important role for statistical discrimination affecting particularly female groups and Black males. Our approach is macro, structural, unified, and comprehensive.

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  • Juan C. Córdoba & Anni T. Isojärvi & Haoran Li, 2021. "Equilibrium Unemployment: The Role of Discrimination," Finance and Economics Discussion Series 2021-080, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2021-80
    DOI: 10.17016/FEDS.2021.080
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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. Regis Barnichon & Andrew Figura, 2015. "Labor Market Heterogeneity and the Aggregate Matching Function," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 222-249, October.
    3. Ayres, Ian & Siegelman, Peter, 1995. "Race and Gender Discrimination in Bargaining for a New Car," American Economic Review, American Economic Association, vol. 85(3), pages 304-321, June.
    4. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    5. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    6. Nikolay Angelov & Per Johansson & Erica Lindahl, 2016. "Parenthood and the Gender Gap in Pay," Journal of Labor Economics, University of Chicago Press, vol. 34(3), pages 545-579.
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    More about this item

    Keywords

    Search; Unemployment; Discrimination; Statistical Discrimination; Taste-Based Discrimination; Structural; Decomposition;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General

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