期刊名称:Central European Journal of Economic Modelling and Econometrics
印刷版ISSN:2080-0886
电子版ISSN:2080-119X
出版年度:2020
期号:2
页码:145-169
DOI:10.24425/cejeme.2020.133719
语种:English
出版社:Polska Akademia Nauk
摘要:Various quantile regression approaches are implemented to analyze the characteristics of Italian data on earnings in the tails. A changing coefficients pattern across quantiles shows increasing returns to education along the wage distribution. A quantile decomposition approach shows that higher education grants higher return at all quantiles, thus implying additional, non-linear returns to higher education throughout the entire pattern of the earning distribution. Wage gender gap displays a decreasing pattern across quantiles, and it does not disappear at the higher quantiles. The southern workers penalty decreases across quantiles as well for highly educated workers.
关键词:quantile regression;decomposition;returns to education;gender wage gap