IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v26y2001i1p149-167.html

How wide is the gap? An investigation of gender wage differences using quantile regression

Author

Listed:
  • Angel López-Nicolás

    (Departament d'Economia i Empresa. Universitat Pompeu Fabra. C/Ramón Trias Fargas, 25, 08005 Barcelona, Spain.)

  • Jaume García

    (Departament d'Economia i Empresa. Universitat Pompeu Fabra. C/Ramón Trias Fargas, 25, 08005 Barcelona, Spain.)

  • Pedro J. Hernández

    (Departamento de Fundamentos del Análisis Económico. Facultad de Economía y Empresa, Campus de Espinardo. Universidad de Murcia, 30100 Murcia, Spain.)

Abstract

In this paper we re-examine the link between subjective perceptions and objective measures of wage discrimination by estimating the mean and several quantiles in the conditional wage distribution of men and women in order to decompose the gender wage gap into the part attributed to different characteristics and the part attributable to differential returns to these characteristics at points other than the conditional expectation. In the process we take into account the endogeneity of educational choice and the participation decision of women. The results suggest that the absolute wage gap and the component of the latter that can be attributed to different returns to characteristics increase over the wage scale.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:empeco:v:26:y:2001:i:1:p:149-167
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00181/papers/1026001/10260149.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

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

    for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    ;

    JEL classification:

    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

    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:spr:empeco:v:26:y:2001:i:1:p:149-167. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.