IDEAS home Printed from https://ideas.repec.org/a/bes/jnlbes/v28i1y2010p181-189.html
   My bibliography  Save this article

Glass Ceilings or Glass Doors? Wage Disparity Within and Between Firms

Author

Listed:
  • Pendakur, Krishna
  • Woodcock, Simon

Abstract

We investigate whether immigrant and minority workers' poor access to high-wage jobs---that is, glass ceilings---is attributable to poor access to jobs in high-wage firms, a phenomenon we call glass doors. Our analysis uses linked employer-employee data to measure mean- and quantile-wage differentials of immigrants and ethnic minorities, both within and across firms. We find that glass ceilings exist for some immigrant groups, and that they are driven in large measure by glass doors. For some immigrant groups, the sorting of these workers across firms accounts for as much as half of the economy-wide wage disparity they face.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Pendakur, Krishna & Woodcock, Simon, 2010. "Glass Ceilings or Glass Doors? Wage Disparity Within and Between Firms," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 181-189.
  • Handle: RePEc:bes:jnlbes:v:28:i:1:y:2010:p:181-189
    as

    Download full text from publisher

    File URL: http://pubs.amstat.org/doi/abs/10.1198/jbes.2009.08124
    File Function: full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Sara Rica & Juan Dolado & Vanesa Llorens, 2008. "Ceilings or floors? Gender wage gaps by education in Spain," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(3), pages 751-776, July.
    5. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    6. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    7. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, September.
    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. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2013. "Wage Dispersion and Decentralization of Wage Bargaining," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 501-533.
    2. Mohsen Javdani, 2015. "Glass ceilings or glass doors? The role of firms in male‐female wage disparities," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(2), pages 529-560, May.
    3. Castagnetti, Carolina & Giorgetti, Maria Letizia, 2019. "Understanding the gender wage-gap differential between the public and private sectors in Italy: A quantile approach," Economic Modelling, Elsevier, vol. 78(C), pages 240-261.
    4. Klumpp, Tilman & Su, Xuejuan, 2013. "Second-order statistical discrimination," Journal of Public Economics, Elsevier, vol. 97(C), pages 108-116.
    5. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    6. Brahim Boudarbat & Marie Connolly, 2013. "The gender wage gap among recent post‐secondary graduates in Canada: a distributional approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(3), pages 1037-1065, August.
    7. Sergio Scicchitano, 2014. "The gender wage gap among Spanish managers," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(3), pages 327-344, May.
    8. Magdalena Smyk & Joanna Tyrowicz & Barbara Liberda, 2014. "Age-productivity patterns in talent occupations for men and women: a decomposition," Post-Communist Economies, Taylor & Francis Journals, vol. 26(3), pages 401-414, September.
    9. Sloczynski, Tymon, 2013. "Population Average Gender Effects," IZA Discussion Papers 7315, Institute of Labor Economics (IZA).
    10. Collischon Matthias, 2019. "Is There a Glass Ceiling over Germany?," German Economic Review, De Gruyter, vol. 20(4), pages 329-359, December.
    11. Olaf Hübler & Lukas Menkhoff, 2011. "Do Women Manage Smaller Funds?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 107-126, February.
    12. Hennig, Jan-Luca & Stadler, Balazs, 2021. "Firm-specific pay premiums and the gender wage gap in 21 European countries," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242354, Verein für Socialpolitik / German Economic Association.
    13. Matano, Alessia & Naticchioni, Paolo, 2013. "Rent sharing as a driver of the glass ceiling effect," Economics Letters, Elsevier, vol. 118(1), pages 55-59.
    14. Ismail, Rahmah & Wye, Chung Khain & Mohd Palel, Nur Sabrina, 2017. "Analysis of Glass Ceiling and Sticky Floor Effects for Gender Wage Gap in Malaysian Labour Market," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 51(2), pages 131-142.
    15. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.
    16. Böheim, René & Himpele, Klemens & Mahringer, Helmut & Zulehner, Christine, 2013. "The distribution of the gender wage gap in Austria : evidence from matched employer-employee data and tax records," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 46(1), pages 19-34.
    17. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    18. Christofides, Louis N. & Polycarpou, Alexandros & Vrachimis, Konstantinos, 2013. "Gender wage gaps, ‘sticky floors’ and ‘glass ceilings’ in Europe," Labour Economics, Elsevier, vol. 21(C), pages 86-102.
    19. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    20. Seneviratne, Prathi, 2020. "Gender wage inequality during Sri Lanka’s post-reform growth: A distributional analysis," World Development, Elsevier, vol. 129(C).

    More about this item

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:bes:jnlbes:v:28:i:1:y:2010:p:181-189. 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: Christopher F. Baum (email available below). General contact details of provider: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main .

    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.