[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/133.html
   My bibliography  Save this paper

Glass Ceilings and Sticky Floors: A Representation Index

Author

Listed:
  • Pendakur, Krishna
  • Pendakur, Ravi
  • Woodcock, Simon
Abstract
Recent research on glass ceilings and sticky floors has focused on the magnitude of differences between groups in the upper and lower quantile cutoffs of the conditional wage distribution. However, quantile cutoffs for different groups are only weakly informative of representation. For example, if the top decile cutoff is lower for minority than majority workers, this tells us that minority workers are under-represented in the top decile, but does not tell us the magnitude of the under-representation. In this paper, we propose a direct measure of the representation of a population subgroup, which we define as the proportion of group members whose earnings lie below (or above) a population earnings quantile. Our representation index is easily generalised to condition on characteristics (such as age, education, etc). Further, it generalizes naturally to an index of the severity (or cost) of under-representation to group members, which is based on dollar-weighted representation. Both representation and severity indices are easily calculated via existing regression techniques. We illustrate the approach using Canadian earnings data.

Suggested Citation

  • Pendakur, Krishna & Pendakur, Ravi & Woodcock, Simon, 2006. "Glass Ceilings and Sticky Floors: A Representation Index," MPRA Paper 133, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:133
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/133/1/MPRA_paper_133.pdf
    File Function: original version
    Download Restriction: no

    File URL: https://mpra.ub.uni-muenchen.de/1340/1/MPRA_paper_1340.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicole M. Fortin & Thomas Lemieux, 1998. "Rank Regressions, Wage Distributions, and the Gender Gap," Journal of Human Resources, University of Wisconsin Press, vol. 33(3), pages 610-643.
    2. 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.
    3. 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).
    4. James Albrecht & Anders Bjorklund & Susan Vroman, 2003. "Is There a Glass Ceiling in Sweden?," Journal of Labor Economics, University of Chicago Press, vol. 21(1), pages 145-177, January.
    5. Hiau Joo Kee, 2005. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap using Quantile Regression and Counterfactual Decomposition Methods," CEPR Discussion Papers 487, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    6. Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-847, July.
    7. Smith, James P & Welch, Finis R, 1989. "Black Economic Progress after Myrdal," Journal of Economic Literature, American Economic Association, vol. 27(2), pages 519-564, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pendakur Krishna & Pendakur Ravi & Woodcock Simon D., 2008. "A Representation Index: Measuring the Representation of Minorities in the Income Distribution," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-21, October.
    2. repec:dau:papers:123456789/4377 is not listed on IDEAS
    3. Francine D. Blau & Lawrence M. Kahn, 2006. "The U.S. Gender Pay Gap in the 1990S: Slowing Convergence," ILR Review, Cornell University, ILR School, vol. 60(1), pages 45-66, October.
    4. Juan D. Barón & Deborah A. Cobb‐Clark, 2010. "Occupational Segregation and the Gender Wage Gap in Private‐ and Public‐Sector Employment: A Distributional Analysis," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 227-246, June.
    5. Mohamed Jellal & Christophe Nordman & Francois-Charles Wolff, 2008. "Evidence on the glass ceiling effect in France using matched worker-firm data," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3233-3250.
    6. Datta Gupta, Nabanita & Oaxaca, Ronald L. & Smith, Nina, 2003. "Swimming Upstream, Floating Downstream: Comparing Women's Relative Wage Positions in the U.S. and Denmark," IZA Discussion Papers 756, Institute of Labor Economics (IZA).
    7. Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2007. "Uncovering the American Dream: Inequality and Mobility in Social Security Earnings Data since 1937," NBER Working Papers 13345, National Bureau of Economic Research, Inc.
    8. Jellal, Mohamed & Nordman, Christophe, 2009. "A Theory of Gender Wage Gap," MPRA Paper 17409, University Library of Munich, Germany.
    9. Ross Levine & Alexey Levkov & Yona Rubinstein, 2008. "Racial Discrimination and Competition," NBER Working Papers 14273, National Bureau of Economic Research, Inc.
    10. de la Rica, Sara & Dolado, Juan J. & Llorens, Vanesa, 2005. "Ceiling and Floors: Gender Wage Gaps by Education in Spain," IZA Discussion Papers 1483, Institute of Labor Economics (IZA).
    11. Andrés Erosa & Luisa Fuster & Gueorgui Kambourov & Richard Rogerson, 2022. "Hours, Occupations, and Gender Differences in Labor Market Outcomes," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(3), pages 543-590, July.
    12. Rafael Lalive & Alois Stutzer, 2010. "Approval of equal rights and gender differences in well-being," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(3), pages 933-962, June.
    13. Antonczyk, Dirk & Fitzenberger, Bernd & Sommerfeld, Katrin, 2010. "Rising wage inequality, the decline of collective bargaining, and the gender wage gap," Labour Economics, Elsevier, vol. 17(5), pages 835-847, October.
    14. Paul Miller, 2009. "The Gender Pay Gap in the US: Does Sector Make a Difference?," Journal of Labor Research, Springer, vol. 30(1), pages 52-74, March.
    15. Estrin, Saul & Stephan, Ute & Vujic, Suncica, 2014. "Do Women Earn Less Even as Social Entrepreneurs?," IZA Discussion Papers 8650, Institute of Labor Economics (IZA).
    16. Hélène Périvier, 2008. "Les femmes sur le marché du travail aux États-Unis," Documents de Travail de l'OFCE 2008-12, Observatoire Francais des Conjonctures Economiques (OFCE).
    17. Claudio Lucifora & Dominique Meurs, 2006. "The Public Sector Pay Gap In France, Great Britain And Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(1), pages 43-59, March.
    18. Anthony B. Atkinson & Alessandra Casarico & Sarah Voitchovsky, 2018. "Top incomes and the gender divide," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 225-256, June.
    19. Biewen Martin & Seifert Stefanie, 2018. "Potential Parenthood and Career Progression of Men and Women – A Simultaneous Hazards Approach," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(2), pages 1-22, April.
    20. Miamo Wendji, Clovis & Kouhomou, Clemence Zite, 2020. "Ecart salarial de genre au Cameroun : une analyse de son trend et de son ampleur entre 2001 et 2014 [Gender wage gap in Cameroon : an analysis of the trend and extent between 2001 and 2014]," MPRA Paper 100288, University Library of Munich, Germany, revised 10 May 2020.
    21. Hidehiko Ichimura & Whitney K. Newey, 2022. "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, vol. 13(1), pages 29-61, January.

    More about this item

    Keywords

    representation; glass ceiling; discrimination; quantile regression; expectile regression;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    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:pra:mprapa:133. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.