IDEAS home Printed from
   My bibliography  Save this paper

Gender Wage Gaps in the Netherlands with Sample Selection Adjustments


  • James Albrecht
  • Aico van Vuuren


In this paper, we use quantile regression methods to analyze the gender gap in the Netherlands. Specifically, we use data from the 1992 wave of the OSA Labour Survey Panel to decompose the difference between the distributions of wages for males and females who are employed full-time. The decomposition technique we use is the Machado and Mata (2000) method, as applied in Albrecht, Bj`rklund and Vroman (2003). There is strong evidence of a glass ceiling effect in the Netherlands; i.e., the gender log wage gap is greater for higher quantiles. Because part-time work is common among women in the Netherlands and because the female participation rate is relatively low, sample selection is a serious issue. We apply Buchinsky’s technique for quantile regression with selectivity bias correction and estimate a series of quantile regressions to find the marginal contributions of individual characteristics to log wages for men and for women at various quantiles in their respective wage distributions. We then use the Machado/Mata technique amended to deal with sample selection to construct a counterfactual distribution, namely, the distribution of wages that would prevail among women were women to work full-time to the same extent as men do. This allows us to decompose the gender gap at different quantiles taking account of sample selection and to determine how much of the gap is due to differences in the labor market characteristics of men and women and how much is due to gender differences in rewards to these characteristics

Suggested Citation

  • James Albrecht & Aico van Vuuren, 2004. "Gender Wage Gaps in the Netherlands with Sample Selection Adjustments," Econometric Society 2004 North American Winter Meetings 504, Econometric Society.
  • Handle: RePEc:ecm:nawm04:504

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.


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

    Cited by:

    1. Marjan Petreski & Nikica Blazevski & Blagica Petreski, 2014. "Gender Wage Gap when Women are Highly Inactive: Evidence from Repeated Imputations with Macedonian Data," Journal of Labor Research, Springer, vol. 35(4), pages 393-411, December.
    2. Olivier Bargain & Prudence Kwenda, 2009. "The Informal Sector Wage Gap: New Evidence Using Quantile Regressions on Panel Data," CEDI Discussion Paper Series 09-06, Centre for Economic Development and Institutions(CEDI), Brunel University.

    More about this item


    Gender Gap; Quantile Regressions; Sample Selection;

    JEL classification:

    • J0 - Labor and Demographic Economics - - General
    • J7 - Labor and Demographic Economics - - Labor Discrimination


    Access and download statistics


    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:ecm:nawm04:504. 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: (Christopher F. Baum). General contact details of provider: .

    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.