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Cited by 264

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

Comparative Research on Women's Employment

Open access
van der Lippe, Tanja, van Dijk, Liset·2002·Annual Review of Sociology

Abstract

▪ Abstract Women's employment has been widely studied in both Western countries and Eastern Europe. In this article, the most frequently used measurements and descriptions of women's paid work are given, namely, participation rate, number of hours worked, gender segregation, and the gender gap in earnings. Next, three approaches used to study women's employment are discussed: 1. the macro-level approach, which gives a thorough understanding of the influence of the institutional context on women's work; 2. the micro-level approach, which compares individual-level results in a number of countries; and 3. the macro-micro approach, in which the relative importance is shown of institutional and individual level factors. Finally, a review is given of the hypotheses and outcomes of both the institutional level, with welfare regime and family policy playing an important role, and the individual level, which shows that being a mother has an important effect on women's employment in the different countries studied.

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Crossref · 10.1146/annurev.soc.28.110601.140833

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Metadata

Authors
van der Lippe, T., & van Dijk, L.
Venue
Annual Review of Sociology
Published
2002-08
Volume
28
Issue
1
Pages
221-241
ISSN
  • 0360-0572 (ISSN-L)
  • 1545-2115
OpenAlex
W2149847742
Cited by
264
References
50
FWCI
3.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Comparative Research on Women's Employment. https://app.cochat.ai/papers/10.1146/annurev.soc.28.110601.140833
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van der Lippe, T., & van Dijk, L. (2002). Comparative Research on Women's Employment. Annual Review of Sociology. https://doi.org/10.1146/annurev.soc.28.110601.140833

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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.