IDEAS home Printed from https://ideas.repec.org/a/bic/journl/v15y2015i1p1-16.html
   My bibliography  Save this article

Gender wage gap in Estonia: a non-parametric decomposition

Author

Listed:
  • Sten Anspal

    (The Estonian Center for Applied Research – CENTAR)

Abstract

Estonia has the highest gender wage gap in the European Union and the highest degree of gender segregation by occupation and industry. Previous studies have found that most of the gap remains unexplained by personal and job characteristics. However, key job characteristics, occupation and industry, are usually imprecisely measured, leading to the question of whether all relevant characteristics have been properly taken into account in the decompositions. In this paper, we perform the decomposition of the wage gap to see how much of the wage gap remains unexplained after using more detailed data than has been common in previous studies (the Estonian Structure of Earnings Study data set), and discuss the related methodological challenges. Using a non-parametric method that takes into account differences in supports of distributions of male and female workers’ characteristics, we find that using more detailed data does not eliminate the unexplained wage gap: about half of the wage gap remains unexplained even using the full set of available variables.

Suggested Citation

  • Sten Anspal, 2015. "Gender wage gap in Estonia: a non-parametric decomposition," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 15(1), pages 1-16.
    • Handle: RePEc:bic:journl:v:15:y:2015:i:1:p:1-16
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/pdf/10.1080/1406099X.2015.1022436
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ilona Pavlenkova & Luca Alfieri & Jaan Masso, 2021. "Effects Of Automation On The Gender Pay Gap: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 131, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    2. Magda, Iga & Salach, Katarzyna, 2019. "Gender Pay Gap Patterns in Domestic and Foreign-Owned Firms," IZA Discussion Papers 12453, Institute of Labor Economics (IZA).
    3. Magda, Iga & Cukrowska-Torzewska, Ewa, 2018. "Do Female Managers Help to Lower Within-Firm Gender Pay Gaps? Public Institutions vs. Private Enterprises," IZA Discussion Papers 12026, Institute of Labor Economics (IZA).
    4. Heili Hein & Aaro Hazak & Kadri Männasoo, 2017. "Who has a better chance of getting higher salaries among creative R&D employees?," TUT Economic Research Series 39, Department of Finance and Economics, Tallinn University of Technology.

    More about this item

    Keywords

    gender wage gap; labour market segregation; matching; non-parametric decomposition;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
    • J7 - Labor and Demographic Economics - - Labor Discrimination

    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:bic:journl:v:15:y:2015:i:1:p:1-16. 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: Anna Zasova (email available below). General contact details of provider: https://edirc.repec.org/data/biceplv.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.