IDEAS home Printed from https://ideas.repec.org/p/boc/usug24/10.html
   My bibliography  Save this paper

Estimating the wage premia of refugee immigrants with coarsened exact matching and recentered influence function quantile regressions

Author

Listed:
  • Kit Baum

    (Boston College)

  • Hans Lööf

    (Royal Institute of Technology)

  • Andreas Stephan

    (Linnaeus University)

  • Klaus Zimmermann

    (UNU-MERIT)

Abstract

In this case study, we examine the wage earnings of fully employed previous refugee immigrants in Sweden. Using administrative employer–employee data from 1990 onward, about 100,000 refugee immigrants who arrived between 1980 and 1996 and were granted asylum are compared with a matched sample of native-born workers using coarsened exact matching. Employing recentered influence function (RIF) quantile regressions to wage earnings for the period 2011–2015, the occupational-task-based Oaxaca–Blinder decomposition approach shows that refugees perform better than natives at the median wage, controlling for individual and firm characteristics. The RIF-quantile approach provides better insights for the analysis of these wage differentials than the standard regression model employed in earlier versions of the study.

Suggested Citation

  • Kit Baum & Hans Lööf & Andreas Stephan & Klaus Zimmermann, 2024. "Estimating the wage premia of refugee immigrants with coarsened exact matching and recentered influence function quantile regressions," 2024 Stata Conference 10, Stata Users Group.
    • Handle: RePEc:boc:usug24:10
    as

    Download full text from publisher

    File URL: http://repec.org/usug2024/US24_Baum.pdf
    Download Restriction: no
    ---><---

    More about this item

    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:boc:usug24:10. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.