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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
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