IDEAS home Printed from https://ideas.repec.org/p/pru/wpaper/3406.html
   My bibliography  Save this paper

The Gender Pay Gap In Vietnam, 1993-2002: A Quantile Regression Approach

Author

Listed:
  • Barry Reilly

    (Poverty Research Unit at Sussex, Department of Economics, University of Sussex)

  • T. Hung Pham

Abstract

This paper uses mean and quantile regression analysis to investigate the gender pay gap for the wage employed in Vietnam over the period 1993 to 2002. It finds that the Doi moi reforms have been associated with a sharp reduction in gender wage disparities for the wage employed. The average gender pay gap in this sector halved between 1993 and 2002 with most of the contraction evident by 1998. There has also been a contraction in the gender pay at most selected points of the conditional wage distribution with the observed effect most pronounced at the top end of the distribution. However, the decomposition analysis suggests that the treatment effect is relatively stable across the conditional wage distribution and little evidence of a ?glassceiling? is detected for Vietnamese women in the wage employment sector in any of the years examined.

Suggested Citation

  • Barry Reilly & T. Hung Pham, 2006. "The Gender Pay Gap In Vietnam, 1993-2002: A Quantile Regression Approach," PRUS Working Papers 34, Poverty Research Unit at Sussex, University of Sussex.
    • Handle: RePEc:pru:wpaper:3406
    as

    Download full text from publisher

    File URL: http://www.sussex.ac.uk/Units/PRU/wps/wp34.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Gender pay gap; Quantile regression; Vietnam;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

    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:pru:wpaper:3406. 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: University of Sussex Business School Communications Team (email available below). General contact details of provider: https://edirc.repec.org/data/ecsusuk.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.