IDEAS home Printed from https://ideas.repec.org/p/dia/wpaper/dt200603.html
   My bibliography  Save this paper

Theory and evidence on the glass ceiling effect using matched worker-firm data

Author

Listed:
  • Mohamed Jellal

    (Université Mohammed V, Rabat, Conseils-Eco, Toulouse)

  • Christophe Nordman

    (DIAL, IRD, Paris)

  • François-Charles Wolff

    (LEN, Université de Nantes, CNAV, INED)

Abstract

(english) In this paper, we investigate the glass ceiling hypothesis according to which there exists larger gender wage gaps at the upper tail of the wage distribution. We demonstrate that in some circumstances, more qualified women may be offered lower wages than men at the equilibrium. This occurs for instance in a competitive model of wage determination where employers face gender-specific probabilities concerning the stability of their employees in their firms. Then, we focus on the relevance and the magnitude of the glass ceiling effect in France using a representative matched worker-firm data set in 1992 of about 130,000 employees and 14,000 employers. We estimate quantile regressions and use a principal component analysis to summarize information specific to the firms. Our different results show that accounting for firm-related characteristics, in particular firm-specific wage policies, 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. _________________________________ (français) Nous analysons l’existence du phénomène de “plafond de verre” selon lequel il existerait des écarts salariaux selon le genre plus importants dans le haut de la distribution des revenus. Nous montrons dans un modèle compétitif de détermination des salaires que, sous certaines hypothèses et à l’équilibre, les femmes les plus qualifiées reçoivent des salaires plus faibles que ceux des hommes de même niveau de qualification. Cela se produit si les employeurs apprécient différemment selon le sexe des employés la stabilité des travailleurs dans leur entreprise. Nous examinons ensuite la pertinence de cette hypothèse et l’étendue de l’effet de plafond de verre à l’aide de données représentatives de l’industrie privée française en 1992 liant quelque 130.000 employés à plus de 14.000 établissements. Nous estimons des régressions de quantiles et utilisons une analyse factorielle pour résumer les informations spécifiques à chaque établissement. Nos différents résultats montrent que prendre en compte les caractéristiques des établissements, en particulier leur politique salariale spécifique, réduit l’estimation de l’écart de revenus entre sexes en haut de la distribution, mais celui-ci n’en demeure pas moins beaucoup plus important en haut qu’en bas de cette distribution des revenus.

Suggested Citation

  • 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).
  • Handle: RePEc:dia:wpaper:dt200603
    as

    Download full text from publisher

    File URL: https://dial.ird.fr/wp-content/uploads/2021/12/2006-03.pdf
    File Function: First version, 2006
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Wan Liyana Mariah Wan Zainal Abidin & Zaleha Mohd Noor & Wan Azman Saini Wan Ngah, 2016. "Exploring the Glass Ceiling and Sticky Floor in Malaysia," Asian Social Science, Canadian Center of Science and Education, vol. 12(6), pages 203-203, June.
    2. 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.
    3. repec:dau:papers:123456789/4377 is not listed on IDEAS
    4. Pendakur, Krishna & Pendakur, Ravi & Woodcock, Simon, 2006. "Glass Ceilings and Sticky Floors: A Representation Index," MPRA Paper 133, University Library of Munich, Germany.

    More about this item

    Keywords

    Gender wage gap; Glass ceiling; Quantile regressions; Matched worker-firm data; Écart salarial selon le genre; Plafond de verre; Régressions de quantiles; Données appariées employeurs-employés.;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dia:wpaper:dt200603. 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: Loic Le Pezennec (email available below). General contact details of provider: https://edirc.repec.org/data/diallfr.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.