Gender Wage Differentials in the French Nonprofit and For-Profit Sectors: Evidence from Quantile Regression
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 , 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 . 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.
Volume (Year): (2010)
Issue (Month): 99-100 ()
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