@ARTICLE{Furno_Marilena_Returns_2020, author={Furno, Marilena}, number={No 2}, journal={Central European Journal of Economic Modelling and Econometrics}, pages={145-169}, howpublished={online}, year={2020}, publisher={Oddział PAN w Łodzi}, abstract={Various quantile regression approaches are implemented to analyze thecharacteristics of Italian data on earnings in the tails. A changing coefficientspattern across quantiles shows increasing returns to education along the wagedistribution. A quantile decomposition approach shows that higher educationgrants higher return at all quantiles, thus implying additional, non-linear returnsto higher education throughout the entire pattern of the earning distribution.Wage gender gap displays a decreasing pattern across quantiles, and it doesnot disappear at the higher quantiles. The southern workers penalty decreasesacross quantiles as well for highly educated workers.}, type={Artykuły / Articles}, title={Returns to Education and Gender Wage Gap Across Quantiles in Italy}, URL={http://www.czasopisma.pan.pl/Content/116843/mainFile.pdf}, doi={10.24425/cejeme.2020.133719}, keywords={quantile regression, decomposition, returns to education, gender wage gap}, }