We 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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Paper provided by Australian National University, College of Business and Economics, School of Economics in its series ANUCBE School of Economics Working Papers with number
2005-458.
Find related papers by JEL classification: 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
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.:
Altonji, Joseph G. & Blank, Rebecca M., 1999.
"Race and gender in the labor market,"
Handbook of Labor Economics,
in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259
Elsevier.
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