International gender wage gap: A Meta-analysis
| Author: | Mgr. Tereza Navarová |
|---|---|
| Year: | 2022 - winter |
| Leaders: | prof. PhDr. Tomáš Havránek Ph.D. |
| Consultants: | |
| Work type: | Masters |
| Language: | English |
| Pages: | 80 |
| Awards and prizes: | |
| Link: | https://dspace.cuni.cz/handle/20.500.11956/171369 |
| Abstract: | This thesis uses modern meta-analysis methods to produce a systematic quantitative review of the literature on the international gender wage gap. After collecting 661 estimates from 51 peer-reviewed studies, estimates from published studies are subjected to several tests studying the presence of publication bias. To test for publication bias, standard errors of estimates are approximated for studies that do not report standard errors or other confidence measures. Based on both linear and non-linear formal tests, the presence of significant publication bias is not detected. Furthermore, Bayesian model averaging is performed to explain the heterogeneity in the collected data, with robust control performed using frequentist model averaging. The results suggest that omitting variables related to human capital leads to the estimation of higher average gender wage differences. In contrast, authors who focus subsamples of the labour market (such as college graduates or only fulltime workers) estimate on average smaller gender wage differences. |
