IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v33y1998i4p947-973.html
   My bibliography  Save this article

Gender Wage Discrimination Bias? A Meta-Regression Analysis

Author

Listed:
  • T.D. Stanley
  • Stephen B. Jarrell

Abstract

This study provides a quantitative review of the empirical literature on gender wage discrimination. Although there is considerable agreement that gender wage discrimination exists, estimates of its magnitude vary widely. Our meta-regression analysis (MRA) reveals that the estimated gender gap has been steadily declining and the wage rate calculation to be crucial. Large biases are likely when researchers omit experience or fail to correct for selection bias. Finally, there appears to be significant gender bias in gender research. However, it is a virtuous variety where researchers tend to compensate for potential bias implicit in their gender membership.

Suggested Citation

  • T.D. Stanley & Stephen B. Jarrell, 1998. "Gender Wage Discrimination Bias? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 947-973.
  • Handle: RePEc:uwp:jhriss:v:33:y:1998:i:4:p:947-973
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdfplus/146344
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.

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

    More about this item

    JEL classification:

    • J7 - Labor and Demographic Economics - - Labor Discrimination
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

    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:uwp:jhriss:v:33:y:1998:i:4:p:947-973. 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: (). General contact details of provider: http://jhr.uwpress.org/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.