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Are Low Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis

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Abstract

Public-private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are ‘overpaid’, prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced GMM panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a decomposition of the wage gap into components explained by differences in returns to all (observed and unobserved) skills and by differences in their stock. We find no evidence to suggest that the premium varies with skill. One interpretation is that the compressed wage profile of the public sector induces the best workers (on unobserved skills) to join the public sector in low wage occupations, vice versa in high wage occupations. We also estimate the average public sector premium to be 6% for women and statistically insignificant (4%) for men.

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Bibliographic Info

Paper provided by School of Economics, University of Wollongong, NSW, Australia in its series Economics Working Papers with number wp11-10.

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Length: 33 pages
Date of creation: 2011
Date of revision:
Handle: RePEc:uow:depec1:wp11-10

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Postal: School of Economics, University of Wollongong, Northfields Avenue, Wollongong NSW 2522 Australia
Phone: +612 4221-3659
Fax: +612 4221-3725
Web page: http://business.uow.edu.au/econ/index.html
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Keywords: public sector; wages; quasi-differenced panel data; GMM; Australia;

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Cited by:
  1. Ramos, Raul & Sanromá, Esteban & Simón, Hipólito, 2014. "Public-Private Sector Wage Differentials by Type of Contract: Evidence from Spain," IZA Discussion Papers 8158, Institute for the Study of Labor (IZA).

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