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文章基本信息

  • 标题:Returns to Education and Gender Wage Gap Across Quantiles in Italy
  • 本地全文:下载
  • 作者:Marilena Furno
  • 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
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