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 demonstrate that one learns substantially more about the gender wage gap in France through this analysis than through standard parametric techniques. In particular, we find that there are no unexplained differences in male and female earning 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 Centre for Economic Policy Research, Research School of Economics, Australian National University in its series CEPR Discussion Papers with number 548.
Date of creation: Mar 2007
Date of revision:
Gender pay gap; sticky floors; glass ceilings; semi-parametric estimation;
Other versions of this item:
- Robert Breunig & Sandrine Rospabe, 2005. "Parametric vs. semi-parametric estimation of the male-female wage gap: An application to France," ANU Working Papers in Economics and Econometrics 2005-458, Australian National University, College of Business and Economics, School of Economics.
- 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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