Parametric vs. semi-parametric estimation of the male-female wage gap: An application to France
AbstractWe use a semi-parametric method to decompose the difference in male and female wage densities into two parts–one explained by characteristics and one which is attributable to differences in returns to characteristics. We learn substantially more about the gender wage gap in France through this analysis that we do through parametric techniques which we also employ for comparative purposes. In particular, we find that there are no unexplained differences in male and female earnings distributions in the bottom fifth of the data. Occupation and part-time status are the most important determinants of the wage gap for all workers. In the semi-parametric estimates we find that education plays no role in the wage gap once we account for occupation and part-time status
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Bibliographic InfoPaper provided by Australian National University, College of Business and Economics, School of Economics in its series ANU Working Papers in Economics and Econometrics with number 2005-458.
Length: 42 pages
Date of creation: Nov 2005
Date of revision:
Other versions of this item:
- Robert Breunig & Sandrine Rospabe, 2007. "Parametric vs. Semi-parametric Estimation of the Male-Female Wage Gap: An Application to France," CEPR Discussion Papers 548, Centre for Economic Policy Research, Research School of Economics, Australian National University.
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J7 - Labor and Demographic Economics - - Labor Discrimination
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