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 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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Paper provided by Centre for Economic Policy Research, Research School of Social Sciences, Australian National University in its series CEPR Discussion Papers with number
548.
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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