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Labor Market Quotas

Author

Listed:
  • Suzanne Bijkerk

    (Erasmus School of Economics)

  • Silvia Dominguez-Martinez

    (University of Amsterdam)

  • Jurjen Kamphorst

    (Erasmus School of Economics)

  • Otto Swank

    (Erasmus School of Economics)

Abstract

Under-representation of women in high level positions is widespread and persistent. We analyze the consequences of labor market quotas for the wages of women in high level positions. The key point of our paper is that quotas cause asymmetric information about why women work in high level positions. Firms know why they have assigned their own female employees to high level positions, but do not know why women at other firms have been assigned to those positions. A winner’s curse, reducing competition for women in high level positions, results. This widens the gender pay gap. We show that ex ante women are better-off without quotas. Next, we investigate how quotas affect incentives for employers to learn the abilities of women to make better job-assignment decisions. Then, under specific conditions women may benefit from quotas.

Suggested Citation

  • Suzanne Bijkerk & Silvia Dominguez-Martinez & Jurjen Kamphorst & Otto Swank, 2018. "Labor Market Quotas," Tinbergen Institute Discussion Papers 18-036/VII, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20180036
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    References listed on IDEAS

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    1. Arnoud W. A. Boot & Anjan V. Thakor, 2000. "Can Relationship Banking Survive Competition?," Journal of Finance, American Finance Association, vol. 55(2), pages 679-713, April.
    2. Paul Milgrom & Sharon Oster, 1987. "Job Discrimination, Market Forces, and the Invisibility Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(3), pages 453-476.
    3. Francine D. Blau & Lawrence M. Kahn, 2017. "The Gender Wage Gap: Extent, Trends, and Explanations," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 789-865, September.
    4. von Thadden, Ernst-Ludwig, 2004. "Asymmetric information, bank lending and implicit contracts: the winner's curse," Finance Research Letters, Elsevier, vol. 1(1), pages 11-23, March.
    5. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    6. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    7. ,, 2008. "Risk taking and gender in hierarchies," Theoretical Economics, Econometric Society, vol. 3(4), December.
    8. Friederike Mengel & Jan Sauermann & Ulf Zölitz, 2019. "Gender Bias in Teaching Evaluations," Journal of the European Economic Association, European Economic Association, vol. 17(2), pages 535-566.
    9. Michael Waldman, 1984. "Job Assignments, Signalling, and Efficiency," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 255-267, Summer.
    10. Robert Marquez, 2002. "Competition, Adverse Selection, and Information Dispersion in the Banking Industry," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 901-926.
    11. Muriel Niederle & Carmit Segal & Lise Vesterlund, 2013. "How Costly Is Diversity? Affirmative Action in Light of Gender Differences in Competitiveness," Management Science, INFORMS, vol. 59(1), pages 1-16, May.
    12. David Bjerk, 2008. "Glass Ceilings or Sticky Floors? Statistical Discrimination in a Dynamic Model of Hiring and Promotion," Economic Journal, Royal Economic Society, vol. 118(530), pages 961-982, July.
    13. Sharpe, Steven A, 1990. "Asymmetric Information, Bank Lending, and Implicit Contracts: A Stylized Model of Customer Relationships," Journal of Finance, American Finance Association, vol. 45(4), pages 1069-1087, September.
    14. Giovanni Dell'Ariccia & Ezra Friedman & Robert Marquez, 1999. "Adverse Selection as a Barrier to Entry in the Banking Industry," RAND Journal of Economics, The RAND Corporation, vol. 30(3), pages 515-534, Autumn.
    15. Robert Hauswald & Robert Marquez, 2003. "Information Technology and Financial Services Competition," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 921-948, July.
    16. Manuel Bagues & Mauro Sylos-Labini & Natalia Zinovyeva, 2014. "Do gender quotas pass the test ? Evidence from academic evaluations in Italy," LEM Papers Series 2014/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Marianne Bertrand & Esther Duflo, 2016. "Field Experiments on Discrimination," NBER Working Papers 22014, National Bureau of Economic Research, Inc.
    18. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    19. Boring, Anne, 2017. "Gender biases in student evaluations of teaching," Journal of Public Economics, Elsevier, vol. 145(C), pages 27-41.
    20. Jan Bouckaert & Hans Degryse, 2004. "Softening Competition by Inducing Switching in Credit Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 52(1), pages 27-52, March.
    21. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    22. Bertrand, Marianne & Black, Sandra & Lleras-Muney, Adriana & Jensen, Sissel, 2015. "Breaking the Glass Ceiling," CEPR Discussion Papers 10467, C.E.P.R. Discussion Papers.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    labor market quota; winner’; s curse; screening;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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