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

Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka

  • Dileni Gunewardena
  • Darshi Abeyrathna
  • Amalie Ellagala
  • Kamani Rajakaruna
  • Shobana Rajendran

Recently developed counterfactual techniques that combine quantile regression with a bootstrap approach allow for the interpretation of lower quantiles of the "simulated unconditional wage distribution" as if they related to poor people. We use this approach to analyse gender wage gaps across the wage distribution in Sri Lanka using quarterly labour force data from 1996 to 2004. Male and female wages are equal at the overall mean, but differ greatly between public and private sectors and across the wage distribution. We find that differences in the way identical men and women are rewarded in the labour market more than account for the difference in wages throughout the distribution. We find evidence of wider wage gaps at the bottom of the distribution in both sectors (indicative of "sticky floors"), but little evidence of larger gaps at the top of the distribution ("glass ceiligs"). Conditional wage gaps increase when controls for occupation, industry and part-time employment status are included, consistent with females selecting into occupations that better reward their characteristics. Policies that address gender bias in wage setting - especially in the low and unskilled occupations - are indicated, while policies that address gender bias in hiring and in workplace practices are likely to be more appropriate than policies that seek to improve womens' productivity-enhancing characteristics in reducing the gender wage gap.

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://portal.pep-net.org/documents/download/id/13535
Download Restriction: no

Paper provided by PEP-PMMA in its series Working Papers PMMA with number 2008-04.

as
in new window

Length:
Date of creation: 2008
Date of revision:
Handle: RePEc:lvl:pmmacr:2008-04
Contact details of provider: Postal:
Pavillon J.A. De Seve, Québec, Québec, G1V 0A6

Phone: 1-418-656-2131, ext. 2697
Fax: 1-418-656-7798
Web page: http://www.pep-net.org
Email:


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. Pham, Hung T & Reilly, Barry, 2007. "The Gender Pay Gap In Vietnam, 1993-2002: A Quantile Regression Approach," MPRA Paper 6475, University Library of Munich, Germany.
  2. Newell, Andrew T. & Reilly, Barry, 2001. "The Gender Pay Gap in the Transition from Communism: Some Empirical Evidence," IZA Discussion Papers 268, Institute for the Study of Labor (IZA).
  3. 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).
  4. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
  5. John A. Bishop & Feijun Luo & Fang Wang, 2005. "Economic transition, gender bias, and the distribution of earnings in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 239-259, 04.
  6. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
  7. Robert Breunig & Sandrine Rospabe, 2005. "Parametric vs. semi-parametric estimation of the male-female wage gap: An application to France," ANU Working Papers in Economics and Econometrics 2005-458, Australian National University, College of Business and Economics, School of Economics.
  8. Rama, Martin, 1999. "The Sri Lankan unemployment problem revisited," Policy Research Working Paper Series 2227, The World Bank.
  9. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
  10. David Neumark, 1987. "Employers' discriminatory behavior and the estimation of wage discrimination," Special Studies Papers 227, Board of Governors of the Federal Reserve System (U.S.).
  11. Tansel, Aysit, 2004. "Public-Private Employment Choice, Wage Differentials and Gender in Turkey," IZA Discussion Papers 1262, Institute for the Study of Labor (IZA).
  12. Blaise Melly, 2005. "Public-private sector wage differentials in Germany: Evidence from quantile regression," Empirical Economics, Springer, vol. 30(2), pages 505-520, 09.
  13. Nopo, Hugo R., 2004. "Matching as a Tool to Decompose Wage Gaps," IZA Discussion Papers 981, Institute for the Study of Labor (IZA).
  14. 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.
  15. Francine D. Blau & Lawrence M. Kahn, 2003. "Understanding International Differences in the Gender Pay Gap," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 106-144, January.
  16. Mueller, Richard E., 1998. "Public-private sector wage differentials in Canada: evidence from quantile regressions," Economics Letters, Elsevier, vol. 60(2), pages 229-235, August.
  17. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-58, March.
  18. Maria Tannuri-Pianto & Donald M. Pianto & Omar Arias, 2004. "Informal Employment in Bolivia: A Lost Proposition?," Working papers - Textos para Discussao do Departamento de Economia da Universidade de Brasilia 317, Departamento de Economia da Universidade de Brasilia.
  19. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-43, May.
  20. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, June.
  21. Lee, Lung-Fei, 1983. "Generalized Econometric Models with Selectivity," Econometrica, Econometric Society, vol. 51(2), pages 507-12, March.
  22. Krishna Pendakur & Ravi Pendakur, 2007. "Minority Earnings Disparity Across the Distribution," Canadian Public Policy, University of Toronto Press, vol. 33(1), pages 41-62, March.
  23. 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.
  24. Elena Glinskaya & Thomas A. Mroz, 2000. "The gender gap in wages in Russia from 1992 to 1995," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(2), pages 353-386.
  25. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4 National Bureau of Economic Research, Inc.
  26. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
  27. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-79, November.
  28. Hiau Joo Kee, 2006. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap," The Economic Record, The Economic Society of Australia, vol. 82(259), pages 408-427, December.
  29. Dileni Gunewardena & Darshi Abeyrathna & Amalie Ellagala & Kamani Rajakaruna & Shobana Rajendran, 2008. "Glass Ceilings, Sticky Floors or Sticky Doors? A Quantile Regression Approach to Exploring Gender Wage Gaps in Sri Lanka," Working Papers PMMA 2008-04, PEP-PMMA.
  30. Ganguli, Ina & Terrell, Katherine, 2005. "Wage Ceilings and Floors: The Gender Gap in Ukraine's Transition," IZA Discussion Papers 1776, Institute for the Study of Labor (IZA).
  31. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
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:lvl:pmmacr:2008-04. 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: (Manuel Paradis)

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.