The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A Meta-Analysis of the International Gender Wage Gap: Meta-Analysis of the International Wage Gap
Open accessAbstract
Abstract. Since the early 1970s, a number of authors have calculated gender wage differentials between women and men of equal productivity. This meta-study provides a new quantitative review of this vast amount of empirical literature on gender wage differentials as it concerns not only differences in methodology, data, and time periods, but also different countries. We place particular emphasis on a proper consideration of the quality of the underlying study which is done by a weighting with quality indicators. The results show that data restrictions – i.e. the limitation of the analysis to new entrants, never-marrieds, or one narrow occupation only – have the biggest impact on the resulting gender wage gap. Moreover, we are able to show what effect a misspecification of the underlying wage equation – like the frequent use of potential experience – has on the calculated gender wage gap. Over time, raw wage differentials worldwide have fallen substantially; however, most of this decrease is due to better labor market endowments of females.
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Cites
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Wage discrimination: Reduced form and structural estimates
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Employers' Discriminatory Behavior and the Estimation of Wage Discrimination
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Wheat From Chaff: Meta-Analysis As Quantitative Literature Review
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Labor Market Discrimination Against Hispanic and Black Men
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On the Decomposition of Wage Differentials
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META‐REGRESSION ANALYSIS: A QUANTITATIVE METHOD OF LITERATURE SURVEYS
Stanley, T. D., & Jarrell, S. B. (2005) · Journal of Economic Surveys · doi:10.1111/j.0950-0804.2005.00249.x · Cited by 805
Economic Considerations and Class Size
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Cited by
Oreopoulos, P. (2011) · American Economic Journal: Economic Policy · doi:10.1257/pol.3.4.148 · Cited by 642
Ethnic discrimination in hiring decisions: a meta-analysis of correspondence tests 1990–2015
Zschirnt, E., & Ruedin, D. (2016) · Journal of Ethnic and Migration Studies · doi:10.1080/1369183x.2015.1133279 · Cited by 597
Adda, J., Dustmann, C., & Stevens, K. (2017) · Journal of Political Economy · doi:10.1086/690952 · Cited by 467
A multidisciplinary survey on discrimination analysis
Romei, A., & Ruggieri, S. (2014) · The Knowledge Engineering Review · doi:10.1017/s0269888913000039 · Cited by 288
Reporting guidelines for meta-analysis in economics
Havránek, T., Stanley, T. D., Doucouliagos, H., Bom, P., Geyer‐Klingeberg, J., Iwasaki, I., Reed, W. R., Rost, K., & van Aert, R. C. M. (2020) · Journal of Economic Surveys · doi:10.1111/joes.12363 · Cited by 271
Metadata
- Authors
- Weichselbaumer, D., & Winter-Ebmer, R.
- Venue
- Journal of Economic Surveys
- Publisher
- Wiley
- Published
- 2005-06-22
- Volume
- 19
- Issue
- 3
- Pages
- 479-511
- ISSN
- 0950-0804 (ISSN-L)
- OpenAlex
- W2752305323
- Cited by
- 708
- References
- 21
- FWCI
- 15.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Weichselbaumer, D., & Winter-Ebmer, R. (2005). A Meta-Analysis of the International Gender Wage Gap: Meta-Analysis of the International Wage Gap. Journal of Economic Surveys. https://doi.org/10.1111/j.0950-0804.2005.00256.x
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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.