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Returns to Education and Gender Wage Gap Across Quantiles in Italy

Marilena Furno ()

Central European Journal of Economic Modelling and Econometrics, 2020, vol. 12, issue 2, 145-169

Abstract: 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.

Keywords: quantile regression; decomposition; returns to education; gender wage gap (search for similar items in EconPapers)
JEL-codes: C51 G32 (search for similar items in EconPapers)
Date: 2020
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Handle: RePEc:psc:journl:v:12:y:2020:i:2:p:145-169