IDEAS home Printed from https://ideas.repec.org/p/erm/papers/0403.html

The Public Sector Pay Gap in France, Great Britain and Italy

Author

Listed:
  • LUCIFORA C.
  • MEURS D.

Abstract

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 analyze 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 to low skilled workers with respect to the private sector, whilst the reverse is true for high skilled workers. When comparing results across countries, we find that where pay formation is more regulated (i.e. as in France and Italy) the public sector pay gap is smaller; whilst where market factors play a larger role in pay determination (i.e. as in Great Britain) the public sector pay gap is larger—particularly in the lower part of the wage distribution—and females are much better off in the public sector as compared to the private sector.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Lucifora C. & Meurs D., 2004. "The Public Sector Pay Gap in France, Great Britain and Italy," Working Papers ERMES 0403, ERMES, University Paris 2.
  • Handle: RePEc:erm:papers:0403
    as

    Download full text from publisher

    File URL: http://www.u-paris2.fr/ermes/doctrav/0403
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    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 and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:erm:papers:0403. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/ermp2fr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.