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

Author

Listed:
  • Jean-Michel Etienne

    (RITM - Réseaux Innovation Territoires et Mondialisation - UP11 - Université Paris-Sud - Paris 11)

  • Mathieu Narcy

    (CEE - Centre d'études de l'emploi - M.E.N.E.S.R. - Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche - Ministère du Travail, de l'Emploi et de la Santé, ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

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.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Michel Etienne & Mathieu Narcy, 2010. "Gender Wage Differentials in the French Nonprofit and For-profit Sectors: Evidence from Quantile Regression," Post-Print hal-02370226, HAL.
    • Handle: RePEc:hal:journl:hal-02370226
    DOI: 10.2307/41219160
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    Cited by:

    1. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    2. Richard J. Butler & Gene Lai, 2023. "Insurance wage-offer disparities by gender: random forest regression and quantile regression evidence from the 2010–2018 American Community Surveys," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 192-229, September.
    3. Rosa Belén Castro Núñez & Pablo Bandeira & Rosa Santero-Sánchez, 2020. "Social Economy, Gender Equality at Work and the 2030 Agenda: Theory and Evidence from Spain," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    4. 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.
    5. Joseph Lanfranchi & Mathieu Narcy, 2013. "Female Overrepresentation in Public and Nonprofit Sector Jobs [Evidence From a French National Survey]," Post-Print halshs-01081038, HAL.
    6. Smrutirekha Singhari & S.Madheswaran, 2015. "Is there a Glass Ceiling or Sticky Floor in India? Examining the Wage Gap across the Wage Distribution," EcoMod2015 8345, EcoMod.
    7. Seung Hee Yang & Byung Yong Jeong, 2020. "Gender Differences in Wage, Social Support, and Job Satisfaction of Public Sector Employees," Sustainability, MDPI, vol. 12(20), pages 1-11, October.
    8. Gabriel Courey, 2020. "Gender and Racial Wage Differentials in Nonprofit Hospitals," LABOUR, CEIS, vol. 34(4), pages 373-398, December.

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