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Does the gender mix among employers influence who gets hired? A labor market experiment

Author

Listed:
  • Alexia Gaudeul

    (Friedrich-Schiller-Universität, Jena)

  • Ayu Okvitawanli

    (Friedrich-Schiller-Universität, Jena)

  • Marian Panganiban

    (Friedrich-Schiller-Universität, Jena, and Max Planck Institute for Research on Collective Goods, Bonn)

Abstract

We consider in this paper whether the gender mix at the level of decision-makers in firms can influence gender representation at the employee level. We run a laboratory experiment whereby we present a pair of independent employers with applications from two potential employees. We consider whether the gender of the other employer will influence an employer's hiring decision. We find that the gender mix among employers plays a role in the individual hiring decisions of female members. Female employers when paired with a male employer are more likely to choose a female applicant over an equally competent male applicant. Results of an Implicit Association Test (IAT) and answers to a post-experimental questionnaire show that explicit beliefs about relative gender performance are significantly associated with the observed hiring bias, while implicit attitudes do not appear to play a role.

Suggested Citation

  • Alexia Gaudeul & Ayu Okvitawanli & Marian Panganiban, 2015. "Does the gender mix among employers influence who gets hired? A labor market experiment," Jena Economics Research Papers 2015-007, Friedrich-Schiller-University Jena.
  • Handle: RePEc:jrp:jrpwrp:2015-007
    as

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    File URL: https://oweb.b67.uni-jena.de/Papers/jerp2015/wp_2015_007.pdf
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    References listed on IDEAS

    as
    1. Lori Beaman & Raghabendra Chattopadhyay & Esther Duflo & Rohini Pande & Petia Topalova, 2009. "Powerful Women: Does Exposure Reduce Bias?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(4), pages 1497-1540.
    2. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
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    4. Bazerman, Max H. & Bohnet, Iris & Van Geen, Alexandra Vivien, 2012. "When Performance Trumps Gender Bias: Joint Versus Separate Evaluation," Scholarly Articles 8506867, Harvard Kennedy School of Government.
    5. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, September.
    6. Manuel F. Bagues & Berta Esteve-Volart, 2010. "Can Gender Parity Break the Glass Ceiling? Evidence from a Repeated Randomized Experiment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(4), pages 1301-1328.
    7. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.
    8. Kenneth R. Ahern & Amy K. Dittmar, 2012. "The Changing of the Boards: The Impact on Firm Valuation of Mandated Female Board Representation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 137-197.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    discrimination; hiring; IAT; implicit attitudes; gender quotas; labor markets; employment;
    All these keywords.

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J78 - Labor and Demographic Economics - - Labor Discrimination - - - Public Policy (including comparable worth)
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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