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The Immigrant-Native Wage Gap in Germany Revisited

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  • Ingwersen, Kai
  • Thomsen, Stephan L.

Abstract

This study provides new evidence on the levels of economic integration experienced by foreigners and naturalised immigrants relative to native Germans from 1994 to 2015. We decompose the wage gap using the method for unconditional quantile regression models by employing a regression of the (recentered) influence function (RIF) of the gross hourly wage on a rich set of explanatory variables. This approach enables us to estimate contributions made across the whole wage distribution. To allow for a detailed characterization of labour market conditions, we consider a comprehensive set of socio-economic and labour-related aspects capturing influences of, e.g., human capital quality, cultural background, and the personalities of immigrants. The decomposition results clearly indicate a significant growing gap with higher wages for both foreigners (13.6 to 17.6 %) and naturalised immigrants (10.0 to 16.4 %). The findings further display a low explanation for the wage gap in low wage deciles that is even more pronounced within immigrant subgroups. Cultural and economic distances each have a significant influence on wages. A different appreciation of foreign educational qualifications, however, widens the wage gap substantially by 4.5 ppts on average. Moreover, we observe an indication of deterioration of immigrants’ human capital endowments over time relative to those of native Germans.

Suggested Citation

  • Ingwersen, Kai & Thomsen, Stephan L., 2019. "The Immigrant-Native Wage Gap in Germany Revisited," GLO Discussion Paper Series 350, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:350
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    Cited by:

    1. Andrej Cupák & Pavel Ciaian & d'Artis Kancs, 2021. "Comparing the immigrant-native pay gap: A novel evidence from home and host countries," EERI Research Paper Series EERI RP 2021/05, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Eduard Storm, 2022. "Task specialization and the Native‐Foreign Wage Gap," LABOUR, CEIS, vol. 36(2), pages 167-195, June.
    3. Ingwersen, Kai & Thomsen, Stephan L., 2020. "An Empirical Assessment of Workload and Migrants' Health in Germany," IZA Discussion Papers 13962, Institute of Labor Economics (IZA).
    4. Mattias Muckenhuber & Miriam Rehm & Matthias Schnetzer, 2022. "A Tale of Integration? The Migrant Wealth Gap in Austria," European Journal of Population, Springer;European Association for Population Studies, vol. 38(2), pages 163-190, May.
    5. Schmid, Ramona, 2022. "Migration and wage inequality: A detailed analysis for German regions over time," Hohenheim Discussion Papers in Business, Economics and Social Sciences 04-2022, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    6. Dossche, Maarten & Kolndrekaj, Aleksandra & Propst, Maximilian & Ramos Perez, Javier & Slacalek, Jiri, 2022. "Immigrants and the distribution of income and wealth in the euro area: first facts and implications for monetary policy," Working Paper Series 2719, European Central Bank.

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    More about this item

    Keywords

    Immigration; wage gap; unconditional quantile regression; Germany;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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