Gender Wage Discrimination Bias? A Meta-Regression Analysis
T. Stanley () and
Stephen B. Jarrell
Journal of Human Resources, 1998, vol. 33, issue 4, 947-973
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-codes: J7 C8 (search for similar items in EconPapers)
References: Add references at CitEc
Citations View citations in EconPapers (97) Track citations by RSS feed
Downloads: (external link)
A subscripton is required to access pdf files. Pay per article is available.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:uwp:jhriss:v:33:y:1998:i:4:p:947-973
Access Statistics for this article
More articles in Journal of Human Resources from University of Wisconsin Press
Series data maintained by ().