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Citation Gender Gaps in Top Economics Journals

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  • J. Ignacio Conde-Ruiz
  • Juan-José Ganuza
  • Manu García

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.

Suggested Citation

  • J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García, 2025. "Citation Gender Gaps in Top Economics Journals," Working Papers 2025-07, FEDEA.
    • Handle: RePEc:fda:fdaddt:2025-07
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    References listed on IDEAS

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    1. J. Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2022. "Gender distribution across topics in the top five economics journals: a machine learning approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 269-308, May.
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