Working Paper: CEPR ID: DP4127
Authors: Doris Weichselbaumer; Rudolf Winterebmer
Abstract: Since the early seventies, hundreds of authors have calculated gender wage differentials between women and men of equal productivity. Consequently, estimates for the gender wage gap have been published for the most diverse countries at different points in time. This meta-study provides a quantitative review of this vast amount of empirical literature on gender wage discrimination as it concerns differences in methodology, data, countries and time periods. 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 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 an increased labour market productivity of females.
Keywords: gender wage differential; metaanalysis
JEL Codes: J16; J31; J71
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| type of data set used (C55) | reported gender wage gap (J31) |
| choice of econometric methodology (C51) | variance in gender wage gaps (J79) |
| missing variables (C39) | overestimation of discrimination component of wage gap (J79) |
| using potential experience instead of actual experience (C90) | overestimation of wage gap (J79) |
| gender of the researcher (C90) | findings (Y40) |
| gender wage gap evolution over time (J79) | gradual equalization of wages (J31) |