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Wage differentials between the public and private sectors in India

  • Elena Glinskaya

    (The World Bank, Washington, District of Columbia, USA)

  • Michael Lokshin

    (The World Bank, Washington, District of Columbia, USA)

This study uses 1993-94 and 1999-2000 rounds of India Employment and Unemployment survey to investigate wage differentials between the public and private sectors. To obtain robust estimates of the wage differential, we apply three econometric techniques each relying on a different set of assumptions about the process of job selection and wage formation. All three methods show that differences in wages between public sector workers and workers in the formal-private and informal-casual sectors are positive and high. On average, the public sector premium ranges between 62 and 102 per cent over the private-formal sector, and between 164 and 259 per cent over the informal-casual sector, depending on the choice of methodology. The wage differentials in India tend to be higher in rural as compared to urban areas, and are higher among women than among men. The wage differential also tends to be higher for low-skilled workers. There is considerable evidence of an increase in the wage differential between 1993-1994 and 1999-2000. Copyright © 2007 John Wiley & Sons, Ltd.

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Article provided by John Wiley & Sons, Ltd. in its journal Journal of International Development.

Volume (Year): 19 (2007)
Issue (Month): 3 ()
Pages: 333-355

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Handle: RePEc:wly:jintdv:v:19:y:2007:i:3:p:333-355
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  1. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  2. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
  3. Heckman, James J & Ichimura, Hidehiko & Todd, Petra, 1998. "Matching as an Econometric Evaluation Estimator," Review of Economic Studies, Wiley Blackwell, vol. 65(2), pages 261-94, April.
  4. Ronald Oaxaca, 1971. "Male-Female Wage Differentials in Urban Labor Markets," Working Papers 396, Princeton University, Department of Economics, Industrial Relations Section..
  5. Guido W. Imbens, 1999. "The Role of the Propensity Score in Estimating Dose-Response Functions," NBER Technical Working Papers 0237, National Bureau of Economic Research, Inc.
  6. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies.
  7. François Bourguignon & Martin Fournier & Marc Gurgand, 2002. "Selection Bias Correction Based on the Multinomial Logit Model," Working Papers 2002-04, Centre de Recherche en Economie et Statistique.
  8. Bales, Sarah & Rama, Martin, 2001. "Are public sector workers underpaid? - Appropriate comparators in a developing country," Policy Research Working Paper Series 2747, The World Bank.
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