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Citation Gender Gaps in Top Economics Journals

Publication type
report
Publication date
June 2025
Author(s)
J. Ignacio Conde-Ruiz
Ganuza Juan-jose
García, Manu
Language
English
Keywords

Machine Learning

Structural Topic Mode...

Gendered Language

Research Fields

Gender Gap

View point(s)
Global
Discipline(s)

Economics & Business

Abstract
This paper investigates the existence and drivers of gender citation gaps in the five leading journals in economics. Using a comprehensive dataset of 7,214 articles published between 1999 and 2023, we examine whether female-authored papers are cited more frequently than male-authored ones, and whether this pattern persists after controlling for differences in research topics. We apply Structural Topic Modeling (STM) to abstracts to estimate latent research themes and complement this approach with field classifications based on JEL codes. Our results show that female-authored papers initially display a citation premium—receiving up to 15 log points more citations—but this advantage becomes statistically insignificant once we control for research field composition using either STM topics or JEL codes. These findings suggest that horizontal gender differences in thematic specialization, rather than bias in citation behavior, account for most of the observed citation gap. Our analysis highlights the importance of accounting for field heterogeneity when assessing academic recognition and contributes to ongoing discussions about fairness and diversity in economics publishing.
URL
https://EconPapers.repec.org/RePEc:fda:fdaddt:2025-07
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