“Potential” and the Gender Promotion Gap

We show that subjective assessments of employee “potential” contribute to gender gaps in promotion and pay. Using data on 29,809 management-track employees from a large retail chain, we find that women receive substantially lower potential ratings despite receiving higher performance ratings. Differences in potential ratings account for approximately half of the gender promotion gap. Women’s lower potential ratings do not reflect accurate forecasts of future performance: Women subsequently outperform male colleagues, both on average and on the margin of promotion. We highlight two mechanisms driving the gender potential gap: strategic retention and stereotyping. (JEL J16, J31, J71, L81, M12, M51)

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Publication Details

Journal
American Economic Review
Published
2026-01-30
DOI
https://doi.org/10.1257/aer.20220831
Citations
2
Primary Topic
Gender Diversity and Inequality
Type
article
Field-Weighted Citation Impact
137.82
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article

“Potential” and the Gender Promotion Gap

Kelly Shue, Alan Benson, Danielle Li
2 citations
American Economic Review
Gender Diversity and Inequality
137.82
article

“Potential” and the Gender Promotion Gap

Kelly Shue, Alan Benson, Danielle Li
article en
2 citations

Abstract

We show that subjective assessments of employee “potential” contribute to gender gaps in promotion and pay. Using data on 29,809 management-track employees from a large retail chain, we find that women receive substantially lower potential ratings despite receiving higher performance ratings. Differences in potential ratings account for approximately half of the gender promotion gap. Women’s lower potential ratings do not reflect accurate forecasts of future performance: Women subsequently outperform male colleagues, both on average and on the margin of promotion. We highlight two mechanisms driving the gender potential gap: strategic retention and stereotyping. (JEL J16, J31, J71, L81, M12, M51)

American Economic ReviewVol. 116(2)
University of Minnesota (US), Yale University (US), Massachusetts Institute of Technology (US)
Gender equality
Openalex Percentile: Top 0%
Gender Diversity and Inequality
137.82
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