IDEAS home Printed from https://ideas.repec.org/a/adr/anecst/y2010i99-100p67-90.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/41219160
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. 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.
    5. Gabriel Courey, 2020. "Gender and Racial Wage Differentials in Nonprofit Hospitals," LABOUR, CEIS, vol. 34(4), pages 373-398, December.
    6. 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.
    7. 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.
    8. Joseph Lanfranchi & Mathieu Narcy, 2013. "Female Overrepresentation in Public and Nonprofit Sector Jobs [Evidence From a French National Survey]," Post-Print halshs-01081038, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:adr:anecst:y:2010:i:99-100:p:67-90. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Secretariat General or Laurent Linnemer (email available below). General contact details of provider: https://edirc.repec.org/data/ensaefr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.