Education and wage differentials by gender in Italy
AbstractIn this paper we evaluate wage differentials in Italy combining gender and education perspectives. The main goal of the article is to verify whether the extent of the gender pay gap varies between highly- and low-educated workers, and whether or not the role played by gender differences in characteristics and in market rewards is similar in the two groups. We apply quantile regression analysis and an adaptation of the procedure suggested by Machado and Mata (2005) to evaluate the predicted wage gap at different levels of education, at different points of the female wage distribution scale. The analysis is carried out on the Italian sample of the last available year of the European Community Household Panel (2001). We show that the extent and the trend of the gap predicted across the female distribution is sharply different between groups with diverse educational levels. In the case of low-educated workers, although the predicted gap is largely explained by differences in rewards, lower levels of education or experience are however responsible for the gap, especially on the right-hand side of the distribution. On the contrary, highly-educated females have better characteristics than highly-educated men that partially compensate the rather high difference in returns, in particular at the extremes of the distribution. It thus follows that the unexplained part of the predicted gap reveals a glass ceiling effect only for more highly-educated females.
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Bibliographic InfoPaper provided by University of Modena and Reggio E., Dept. of Economics in its series Center for Economic Research (RECent) with number 036.
Length: pages 46
Date of creation: Oct 2009
Date of revision:
human capital; gender wage differentials; quantile regressions;
Other versions of this item:
- Tindara ADDABBO & Donata Favaro, 2007. "Education and wage differentials by gender in Italy," CHILD Working Papers wp04_07, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-11-14 (All new papers)
- NEP-EDU-2009-11-14 (Education)
- NEP-LAB-2009-11-14 (Labour Economics)
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- Noe', Chiara, 2009. "Subject of degree and the gender wage gap: Evidence from Italy," MPRA Paper 47289, University Library of Munich, Germany.
- Chiara MUSSIDA & Matteo PICCHIO, 2011.
"The Trend over Time of the Gender Wage Gap in Italy,"
Discussion Papers (IRES - Institut de Recherches Economiques et Sociales)
2011031, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Mussida, C. & Picchio, M., 2011. "The Trend over Time of the GenderWage Gap in Italy," Discussion Paper 2011-093, Tilburg University, Center for Economic Research.
- Mussida, Chiara & Picchio, Matteo, 2011. "The Trend over Time of the Gender Wage Gap in Italy," IZA Discussion Papers 5932, Institute for the Study of Labor (IZA).
- Yolanda Pena-Boquete & Sergio De Stefanis & Manuel Fernandez-Grela, 2010. "The distribution of gender wage discrimination in Italy and Spain: a comparison using the ECHP," International Journal of Manpower, Emerald Group Publishing, vol. 31(2), pages 109-137, May.
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