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Cited by 621

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Separate and Unequal: Occupation-Establishment Sex Segregation and the Gender Wage Gap

Petersen, Trond, Morgan, Laurie A.·1995·American Journal of Sociology

Abstract

The authors report the first large-scale empirical investigation of within-job wage differences between men and women in the same occupation and establishment, using data first on blue-collar and clerical employees from 16 U.S. industries in 1974-83 and second on employees in 10 professional and administrative occupations. The authors report three findings. First, wage differences at the occupation-establishment level were small even without controls for individual-level characteristics. Hence, within-job wage discrimination was much less important than occupation-establishment segregation for observed wage differences. Second, establishment segregation was an important cause, although not as important as occupational segregation, of wage differences. Third, establishment segregation was extensive, as was occupational segregation.

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Crossref · 10.1086/230727

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Metadata

Authors
Petersen, T., & Morgan, L. A.
Venue
American Journal of Sociology
Published
1995-09
Volume
101
Issue
2
Pages
329-365
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2087149586
Cited by
621
References
15
FWCI
21.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Separate and Unequal: Occupation-Establishment Sex Segregation and the Gender Wage Gap. https://app.cochat.ai/papers/10.1086/230727
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Petersen, T., & Morgan, L. A. (1995). Separate and Unequal: Occupation-Establishment Sex Segregation and the Gender Wage Gap. American Journal of Sociology. https://doi.org/10.1086/230727

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.