IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Flying High and Laying Low in the Public and Private Sectors: A Comparison of Pay Differentials for Full-Time Male Employees in Britain

  • Monojit Chatterji
  • Karen Mumford

Using new linked employee-employer data for Britain in 2004, this paper shows that, on average, full-time male public sector employees earn 11.7 log wage points more than their private sector counterparts. Decomposition analysis reveals that the majority of this pay premium is associated with public sector employees having individual characteristics associated with higher pay and to their working in higher paid occupations. Further focussing analysis on the highly skilled and unskilled occupations in both sectors, reveals evidence of workplace segregation positively impacting on earnings in the private sector for the highly skilled, and in the public sector for the unskilled. Substantial earnings gaps between the highly skilled and unskilled are found, and the unexplained components in these gaps are very similar regardless of sector.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by Economic Studies, University of Dundee in its series Dundee Discussion Papers in Economics with number 209.

in new window

Length: 31 pages
Date of creation: Nov 2007
Date of revision:
Handle: RePEc:dun:dpaper:209
Contact details of provider: Postal: Dundee, DD1 4HN
Phone: (01382) 344375
Fax: (01382) 344691
Web page:

More information through EDIRC

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.:

as in new window
  1. Yu, Keming & Van Kerm, Philippe & Zhang, Jin, 2004. "Bayesian quantile regression: An application to the wage distribution in 1990s Britain," IRISS Working Paper Series 2004-10, IRISS at CEPS/INSTEAD.
  2. Stephen Nickell & Glenda Quintini, 2002. "The Consequences of The Decline in Public Sector Pay in Britain: A Little Bit of Evidence," Economic Journal, Royal Economic Society, vol. 112(477), pages F107-F118, February.
  3. Mumford, Karen A. & Smith, Peter N., 2007. "Assessing the Importance of Male and Female Part-Time Work for the Gender Earnings Gap in Britain," IZA Discussion Papers 2981, Institute for the Study of Labor (IZA).
  4. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:dun:dpaper:209. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Andrzej Kwiatkowski)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.