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Gender Wage Differentials in the French Nonprofit and For-Profit Sectors: Evidence from Quantile Regression

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  • Jean-Michel Etienne
  • Mathieu Narcy

Abstract

Using the French Labor Force Survey from 1994-2001, this paper investigates the gender wage gap in the nonprofit and for-profit sectors throughout the wage distribution. Following LEETE [2000], if nonprofit employers are more likely than for-profit employers to rely on intrinsically motivated employees, one should expect nonprofit organizations to exhibit a lower gender wage gap than for-profit organizations as a means of maintaining and enhancing employees' intrinsic motivation. We use the quantile regression decomposition technique proposed by MACHADO and MATA [2005]. Because individuals may self-select into sectors, we have extended this technique to account for selection effects. Our main results show that the unexplained gender wage gap is larger in the for-profit sector than in the nonprofit sector throughout the wage distribution. These results seem to be primarily attributed to lower levels of occupational segregation in the French nonprofit sector.

Suggested Citation

  • Jean-Michel Etienne & Mathieu Narcy, 2010. "Gender Wage Differentials in the French Nonprofit and For-Profit Sectors: Evidence from Quantile Regression," Annals of Economics and Statistics, GENES, issue 99-100, pages 67-90.
  • Handle: RePEc:adr:anecst:y:2010:i:99-100:p:67-90
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    File URL: http://www.jstor.org/stable/41219160
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    1. Ana M. Aizcorbe, 2003. "The stability of dummy variable price measures obtained from hedonic regressions," Finance and Economics Discussion Series 2003-05, Board of Governors of the Federal Reserve System (U.S.).
    2. Rudebusch, Glenn D., 2002. "Term structure evidence on interest rate smoothing and monetary policy inertia," Journal of Monetary Economics, Elsevier, pages 1161-1187.
    3. Jaison R. Abel & Ernst R. Berndt & Alan G. White, 2003. "Price Indexes for Microsoft's Personal Computer Software Products," NBER Working Papers 9966, National Bureau of Economic Research, Inc.
    4. Ernst R. Berndt & Zvi Griliches, 1993. "Price Indexes for Microcomputers: An Exploratory Study," NBER Chapters,in: Price Measurements and Their Uses, pages 63-100 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Christopher F. Baum & Hans Lööf & Pardis Nabavi & Andreas Stephan, 2017. "A new approach to estimation of the R&D–innovation–productivity relationship," Economics of Innovation and New Technology, Taylor & Francis Journals, pages 121-133.
    2. Joseph Lanfranchi & Mathieu Narcy, 2013. "Overrepresentation of women in public and nonprofit sector jobs: Evidence from a French national survey," Post-Print halshs-00872954, HAL.
    3. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    4. Joseph Lanfranchi & Mathieu Narcy, 2013. "Female Overrepresentation in Public and Nonprofit Sector Jobs
      [Evidence From a French National Survey]
      ," Post-Print halshs-01081038, HAL.

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