Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/306661 
Authors: 
Year of Publication: 
2023
Citation: 
[Journal:] Review of Regional Research [ISSN:] 1613-9836 [Volume:] 43 [Issue:] 1 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2023 [Pages:] 147-201
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
This study presents new evidence on immigrant-native wage gaps considering regional-specific differences between 2000 and 2019 in Germany. Using linked employer-employee-data, unconditional quantile regression models are estimated in order to assess the degree of labor market integration of foreign workers. The applied extended version of the Oaxaca-Blinder decomposition method provides evidence on driving factors behind wage gaps along the entire wage distribution. Estimated results are presented not only for the whole of West Germany but also differentiated between metropolitan and non-metropolitan areas. On average, larger wage differentials are identified in metropolitan areas with at the same time a higher presence of foreign population. Detailed decompositions show that there are not only changes in the relative importance of explanatory factors over time, but also possible sources of wage differentials shift between different points of the wage distribution. Decisive explanatory variables in this context are the practised profession and the economic sector affiliation. Distinguishing between metropolitan and non-metropolitan areas, provides evidence that especially differences in educational attainment impact wage gaps in urban areas. Regarding the size of overall estimated wage gaps, after 2012 a reversal in trend and particular increasing tendencies around median wages are revealed.
Subjects: 
Immigrant-native wage gap
Oaxaca-Blinder decomposition
Unconditional quantile regression
Ethnic clustering
Germany
Lohngefälle zwischen Einheimischen und Zuwanderern
Oaxaca-Blinder Zerlegung
Unbedingte Quantilsregression
Ethnische Gruppierung
Deutschland
JEL: 
J15
J31
J61
R23
R58
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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