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

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  • Chatterji, Monojit
  • Mumford, Karen

Abstract

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.

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File URL: http://repo.sire.ac.uk/handle/10943/24
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Bibliographic Info

Paper provided by Scottish Institute for Research in Economics (SIRE) in its series SIRE Discussion Papers with number 2008-11.

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Date of creation: 2008
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Handle: RePEc:edn:sirdps:24

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Keywords: public sector earnings; fixed effects; earnings-gap; decompositions; segregation; male;

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  1. 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).
  2. 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.
  3. 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.
  4. 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.
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