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Education and wage differentials by gender in Italy Author info | Abstract | Publisher info | Download info | Related research | Statistics Tindara ADDABBO ()
Donata Favaro ()
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The most recent literature on wage differentials highlights the need to evaluate the wage gap at different points of the wage distribution rather than at the average value alone. In this work we use quantile regressions and an adaptation of the procedure suggested by Machado and Mata (2005) to derive the predicted and counterfactual female wage distributions and to evaluate the extension of the unexplained part of the wage gap. We use data from the last available cross-section of the European Community Household Panel (2001). We show that in Italy the wage gap due to gender differences in the rewards to productive characteristics is higher in correspondence with the extremes of the female wage distribution, suggesting the presence of strong glass ceiling and sticky floor patterns. Controlling for different educational levels, we find that low-educated women suffer a higher unexplained wage gap along the whole distribution. However, we detect a strong sticky floor effect among low-educated women and some evidence of a glass ceiling pattern among highly-educated female workers.
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Paper provided by CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY in its series CHILD Working Papers with number
wp04_07.
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Length: 45 pages
Date of creation: Mar 2007Date of revision:
Handle: RePEc:wpc:wplist:wp04_07Contact details of provider: Postal: Via Po 53 10124 Turin Phone: 39-011=6702726 Fax: 39-011-6702762 Email: Web page: http://www.child-centre.it More information through EDIRC
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Keywords: Human capital ; Gender wage gap ; Discrimination ; Find related papers by JEL classification: J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: de la Rica, Sara & Dolado, Juan J. & Llorens, Vanesa, 2005.
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