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Estimating the wage premia of refugee immigrants

Author

Listed:
  • Christopher F. Baum

    (Boston College)

  • Hans Lööf

    (Royal Institute of Technology, Stockholm)

  • Andreas Stephan

    (Linneaus University)

  • Klaus F. Zimmermann

    (UNU-Merit Maastricht University)

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 onwards, about 100,000 refugee immigrants who arrived between 1980 and 1996 and were granted asylum are compared to 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

  • Christopher F. Baum & Hans Lööf & Andreas Stephan & Klaus F. Zimmermann, 2024. "Estimating the wage premia of refugee immigrants," UK Stata Conference 2024 06, Stata Users Group.
    • Handle: RePEc:boc:lsug24:06
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    File URL: http://repec.org/lsug2024/UK24_Baum.pdf
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    More about this item

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • J60 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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