Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring

For the past three decades, scholars have conducted field experiments to examine gender-based hiring discrimination in the United States. However, these studies have produced mixed results. To further interpret these findings, we performed a meta-analysis of 37 audit studies conducted between 1990 a...

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Main Authors: So Yun Park, Eunsil Oh
Format: Article
Language:English
Published: Society for Sociological Science 2025-01-01
Series:Sociological Science
Subjects:
Online Access:https://sociologicalscience.com/articles-v12-2-26/
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author So Yun Park
Eunsil Oh
author_facet So Yun Park
Eunsil Oh
author_sort So Yun Park
collection DOAJ
description For the past three decades, scholars have conducted field experiments to examine gender-based hiring discrimination in the United States. However, these studies have produced mixed results. To further interpret these findings, we performed a meta-analysis of 37 audit studies conducted between 1990 and 2022. Using an aggregated sample of 243,202 fictitious job applications, the study finds no evidence of statistically significant gender discrimination at the study level. However, a series of more focused meta-analyses reveal important variations in the extent of discrimination by occupation type and applicant race. First, the gender composition of an occupation predicts gender bias in hiring. Second, the intersection of gender and race is critical—in female-dominated jobs, White female applicants receive more callbacks than their male counterparts, but Black female applicants experience no such benefit. The study contributes to the literature on labor market and gender (in)equality by synthesizing the findings of field experiments.
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spelling doaj-art-0eb5ef86547a44f7b7b97111aa3875bb2025-08-20T02:43:12ZengSociety for Sociological ScienceSociological Science2330-66962025-01-01122265010.15195/v12.a2Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in HiringSo Yun Park0Eunsil Oh1University of Wisconsin–MadisonUniversity of Wisconsin–MadisonFor the past three decades, scholars have conducted field experiments to examine gender-based hiring discrimination in the United States. However, these studies have produced mixed results. To further interpret these findings, we performed a meta-analysis of 37 audit studies conducted between 1990 and 2022. Using an aggregated sample of 243,202 fictitious job applications, the study finds no evidence of statistically significant gender discrimination at the study level. However, a series of more focused meta-analyses reveal important variations in the extent of discrimination by occupation type and applicant race. First, the gender composition of an occupation predicts gender bias in hiring. Second, the intersection of gender and race is critical—in female-dominated jobs, White female applicants receive more callbacks than their male counterparts, but Black female applicants experience no such benefit. The study contributes to the literature on labor market and gender (in)equality by synthesizing the findings of field experiments.https://sociologicalscience.com/articles-v12-2-26/genderhiring discriminationfield experimentsmeta-analysis
spellingShingle So Yun Park
Eunsil Oh
Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
Sociological Science
gender
hiring discrimination
field experiments
meta-analysis
title Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
title_full Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
title_fullStr Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
title_full_unstemmed Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
title_short Getting a Foot in the Door: A Meta-Analysis of U.S. Audit Studies of Gender Bias in Hiring
title_sort getting a foot in the door a meta analysis of u s audit studies of gender bias in hiring
topic gender
hiring discrimination
field experiments
meta-analysis
url https://sociologicalscience.com/articles-v12-2-26/
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