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The Public Sector Pay Gap in France, Great Britain and Italy Author info | Abstract | Publisher info | Download info | Related research | Statistics Lucifora, Claudio () (Università Cattolica del Sacro Cuore, ERMES, CHILD and IZA Bonn)
Meurs, Dominique (Université Paris 2, ERMES)
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We investigate public-private pay determination using French, British and Italian microdata. While traditional methods focus on parametric methods to estimate the public sector pay gap, in this paper, we use both non-parametric (kernel) and quantile regression methods to analyse the distribution of wages across sectors. We show that the public-private (hourly) wage differential is sensitive to the choice of quantile and that the pattern of premia varies with both gender and skill. In all countries the public sector is found to pay more low skilled workers with respect to the private sector, whilst the reverse is true for high skilled workers. The effects are more pronounced for females.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
1041.
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Length: 22 pages
Date of creation: Mar 2004Date of revision:
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Keywords: wage differentials public sector quantile regression Other versions of this item:
Article Paper Claudio Lucifora & Dominique Meurs, 2004.
"The Public Sector Pay Gap in France, Great Britain and Italy ,"
CHILD Working Papers
wp04_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
[Downloadable!] C. Lucifora & D. Meurs, 2004.
"The Public Sector Pay Gap in France, Great Britain and Italy ,"
Working Papers ERMES
0403, ERMES, University Paris 2.
[Downloadable!] Find related papers by JEL classification: J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
This paper has been announced in the following NEP Reports :
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