IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Evidence on the glass ceiling effect in France using matched worker-firm data

  • Jellal, Mohamed
  • Nordman, Christophe
  • wolff, François charles

In this article, we investigate the relevance of the glass ceiling hypothesis in France, according to which there exist larger gender wage gaps at the upper tail of the wage distribution. Using a matched worker-firm data set of about 1 30 000 employees and 14 000 employers, we estimate quantile regressions and rely on a principal component analysis to summarize information specific to the firms. Our different results show that accounting for firm-related characteristics reduces the gender earnings gap at the top of the distribution, but the latter still remains much higher at the top than at the bottom. Furthermore, a quantile decomposition shows that the gender wage gap is mainly due to differences in the returns to observed characteristics rather than in differences in characteristics between men and women.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/38590/1/MPRA_paper_38590.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 38590.

as
in new window

Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:pra:mprapa:38590
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Lindbeck, Assar & Snower, Dennis J., 1999. "Multi-Task Learning and the Reorganization of Work. From Tayloristic to Holistic Organization," IZA Discussion Papers 39, Institute for the Study of Labor (IZA).
  2. Ana Rute Cardoso, 1999. "Firms' Wage Policies and the Rise in Labor Market Inequality: The Case of Portugal," ILR Review, Cornell University, ILR School, vol. 53(1), pages 87-102, October.
  3. Christophe Muller & Christophe Nordman, 2004. "Which Human Capital Matters for Rich and Poor’s Wages?Evidence from Matched Worker-Firm Data from Tunisia," Working Papers DT/2004/09, DIAL (Développement, Institutions et Mondialisation), revised Oct 2004.
  4. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
  5. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
  6. Guellec, Dominique & Greenan, Nathalie & Caroli, Eve, 2001. "Organizational Change and Skill Accumulation," Economics Papers from University Paris Dauphine 123456789/10092, Paris Dauphine University.
  7. Jacques Silber & Michal Weber, 1999. "Labour market discrimination: are there significant differences between the various decomposition procedures?," Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 359-365.
  8. Nathalie Greenan, 2003. "Organisational change, technology, employment and skills: an empirical study of French manufacturing," Cambridge Journal of Economics, Oxford University Press, vol. 27(2), pages 287-316, March.
  9. Chris Sakellariou, 2004. "The use of quantile regressions in estimating gender wage differentials: a case study of the Philippines," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 1001-1007.
  10. Meng, Xin, 2004. "Gender earnings gap: the role of firm specific effects," Labour Economics, Elsevier, vol. 11(5), pages 555-573, October.
  11. Mohamed Jellal & Christophe Nordman & François-Charles Wolff, 2006. "Theory and evidence on the glass ceiling effect using matched worker-firm data," Working Papers DT/2006/03, DIAL (Développement, Institutions et Mondialisation).
  12. Arulampalam, Wiji & Booth, Alison L. & Bryan, Mark L., 2005. "Is there a glass ceiling over Europe? Exploring the gender pay gap across the wages distribution," ISER Working Paper Series 2005-25, Institute for Social and Economic Research.
  13. Wiji Arulampalam & Alison L. Booth & Mark L. Bryan, 2007. "Is There a Glass Ceiling over Europe? Exploring the Gender Pay Gap across the Wage Distribution," ILR Review, Cornell University, ILR School, vol. 60(2), pages 163-186, January.
  14. Hellerstein, Judith K. & Neumark, David, 2005. "Using Matched Employer-Employee Data to Study Labor Market Discrimination," IZA Discussion Papers 1555, Institute for the Study of Labor (IZA).
  15. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
  16. Helena Skyt Nielsen, 2000. "Wage discrimination in Zambia: an extension of the Oaxaca-Blinder decomposition," Applied Economics Letters, Taylor & Francis Journals, vol. 7(6), pages 405-408.
  17. Filippin, Antonio & Ichino, Andrea, 2003. "Gender Wage Gap in Expectations and Realizations," IZA Discussion Papers 825, Institute for the Study of Labor (IZA).
  18. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  19. Abowd, John M. & Kramarz, Francis & Margolis, David N. & Troske, Kenneth R., 2001. "The Relative Importance of Employer and Employee Effects on Compensation: A Comparison of France and the United States," Journal of the Japanese and International Economies, Elsevier, vol. 15(4), pages 419-436, December.
  20. Jim Albrecht & Aico van Vuuren & Susan Vroman, 2007. "Counterfactual Distributions with Sample Selection Adjustments: Econometric Theory and an Application to the Netherlands," Working Papers gueconwpa~07-07-06, Georgetown University, Department of Economics.
  21. De la Rica Goiricelaya, Sara & Dolado, Juan J. & Llorens, Vanessa, 2005. "Ceilings and Floors? Gender Wage Gaps by Education in Spain," DFAEII Working Papers 2005-01, University of the Basque Country - Department of Foundations of Economic Analysis II.
  22. Abowd, John M. & Kramarz, Francis, 1999. "The analysis of labor markets using matched employer-employee data," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 40, pages 2629-2710 Elsevier.
  23. Booth, Alison L. & Francesconi, Marco & Frank, Jeff, 2003. "A sticky floors model of promotion, pay, and gender," European Economic Review, Elsevier, vol. 47(2), pages 295-322, April.
  24. Timothy Hinks, 2002. "Gender wage differentials and discrimination in the New South Africa," Applied Economics, Taylor & Francis Journals, vol. 34(16), pages 2043-2052.
  25. Albrecht, James & Björklund, Anders & Vroman, Susan, 2001. "Is There a Glass Ceiling in Sweden?," IZA Discussion Papers 282, Institute for the Study of Labor (IZA).
  26. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
  27. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
  28. Xin Meng & Dominique Meurs, 2004. "The gender earnings gap: effects of institutions and firms--a comparative study of French and Australian private firms," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 189-208, April.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:38590. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.