The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Gender Wage Discrimination Bias? A Meta-Regression Analysis
Open accessAbstract
This study provides a quantitative review of the empirical literature on gender wage discrimination. Although there is considerable agreement that gender wage discrimination exists, estimates of its magnitude vary widely. Our meta-regression analysis (MRA) reveals that the estimated gender gap has been steadily declining and the wage rate calculation to be crucial. Large biases are likely when researchers omit experience or fail to correct for selection bias. Finally, there appears to be significant gender bias in gender research. However, it is a virtuous variety where researchers tend to compensate for potential bias implicit in their gender membership. (JEL J7, C8).
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
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Blinder, A. S. (1973) · The Journal of Human Resources · doi:10.2307/144855 · Cited by 6,922
Primary, Secondary, and Meta-Analysis of Research
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Meta-analysis in social research
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Oaxaca, R. L., & Ransom, M. R. (1994) · Journal of Econometrics · doi:10.1016/0304-4076(94)90074-4 · Cited by 1,657
Experimenter Effects in Behavioral Research
McGuigan, F. J., & Rosenthal, R. (1968) · The American Journal of Psychology · doi:10.2307/1420816 · Cited by 1,621
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9: Integrating Findings: The Meta-Analysis of Research
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Role congruity theory of prejudice toward female leaders.
Eagly, A. H., & Karau, S. J. (2002) · Psychological Review · doi:10.1037//0033-295x.109.3.573 · Cited by 7,300
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
Self-citationA Meta-Analysis of the International Gender Wage Gap: Meta-Analysis of the International Wage Gap
Weichselbaumer, D., & Winter-Ebmer, R. (2005) · Journal of Economic Surveys · doi:10.1111/j.0950-0804.2005.00256.x · Cited by 708
Methods for testing publication bias in ecological and evolutionary meta‐analyses
Nakagawa, S., Lagisz, M., Jennions, M. D., Koricheva, J., Noble, D. W. A., Parker, T. H., Sánchez‐Tójar, A., Yang, Y., & O'Dea, R. E. (2022) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13724 · Cited by 399
Assessing evidence of environmental inequities: A meta-analysis
Ringquist, E. J. (2005) · Journal of Policy Analysis and Management · doi:10.1002/pam.20088 · Cited by 331
Metadata
- Authors
- Stanley, T. D., & Jarrell, S. B.
- Venue
- The Journal of Human Resources
- Publisher
- JSTOR
- Published
- 1998
- Volume
- 33
- Issue
- 4
- Pages
- 947
- ISSN
- 0022-166X (ISSN-L)
- OpenAlex
- W1542245260
- Cited by
- 281
- References
- 41
- FWCI
- 4.76
- Type
- journal article
- Language
- en
- Open access
- green
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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.
