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Cited by 180

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Women-Led Firms and the Gender Gap in Top Executive Jobs

Open access
Bell, Linda·2005·SSRN Electronic Journal

Abstract

Using data on Executive Compensation from Standard and Poor's ExecuComp, this paper explores the gender gap in top executive jobs and the effect of women CEOs, Chairs, and Directors on the pay of other women executives. The results show a narrowing of the uncorrected gender pay gap from the mid-1990s. Women top executives earn between 8% to 25% less than male executives after controlling for differences in company size, occupational title, and industry. The magnitude of the gender pay gap is statistically related to the gender of the Chief Executive and Corporate Board Chair. Women CEO and Board Chairs bring more top women and at higher pay than is found in non-women-led firms. Specifically, female executives in women-led firms earn between 10-20% more than comparable executive women in male-led firms and are between 3-18% more likely to be among the highest five paid executives in these firms as well. The paper thereby provides strong empirical evidence that women leaders are associated with positive outcomes for women executives in substantive and important ways.

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Metadata

Authors
Bell, L.
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2005
ISSN
1556-5068 (ISSN-L)
OpenAlex
W2115003390
Cited by
180
References
1
Type
posted content
Language
en
Open access
green

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CoChat. (2026). Citation check: Women-Led Firms and the Gender Gap in Top Executive Jobs. https://app.cochat.ai/papers/10.2139/ssrn.773964
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Bell, L. (2005). Women-Led Firms and the Gender Gap in Top Executive Jobs. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.773964

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.