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Organizational Behavior and Human Decision Processes 2023

On the trajectory of discrimination: A meta-analysis and forecasting survey capturing 44 years of field experiments on gender and hiring decisions

Michael Schaerer1; Christilene du Plessis1; My Hoang Bao Nguyen1; Robbie C. M. van Aert2; Leonid Tiokhin3,4; Daniël Lakens4; Elena Giulia Clemente5; Thomas Pfeiffer6; Anna Dreber7,8; Magnus Johannesson7; Connie J. Clark9; Eric Luis Uhlmann10

1 Singapore Management University · 2 Tilburg University · 3 GGD Amsterdam · 4 Eindhoven University of Technology · 5 University of Zurich · 6 Massey University · 7 Stockholm School of Economics · 8 Universität Innsbruck · 9 California University of Pennsylvania · 10 INSEAD

open access

Abstract

A preregistered meta-analysis, including 244 effect sizes from 85 field audits and 361,645 individual job applications, tested for gender bias in hiring practices in female-stereotypical and gender-balanced as well as male-stereotypical jobs from 1976 to 2020. A “red team” of independent experts was recruited to increase the rigor and robustness of our meta-analytic approach. A forecasting survey further examined whether laypeople (n = 499 nationally representative adults) and scientists (n = 312) could predict the results. Forecasters correctly anticipated reductions in discrimination against female candidates over time. However, both scientists and laypeople overestimated the continuation of bias against female candidates. Instead, selection bias in favor of male over female candidates was eliminated and, if anything, slightly reversed in sign starting in 2009 for mixed-gender and male-stereotypical jobs in our sample. Forecasters further failed to anticipate that discrimination against male candidates for stereotypically female jobs would remain stable across the decades.

DOI
10.1016/j.obhdp.2023.104280
Sources
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