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

Jean-Michel Etienne and Mathieu Narcy

Annals of Economics and Statistics, 2010, issue 99-100, 67-90

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.

Date: 2010
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Citations: View citations in EconPapers (8)

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Working Paper: Gender Wage Differentials in the French Nonprofit and For-profit Sectors: Evidence from Quantile Regression (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:adr:anecst:y:2010:i:99-100:p:67-90

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