The Effect of Ethnic Clustering on Migrant Integration in Germany

Schaffner, Sandra; Treude, Barbara

doi:10.2139/ssrn.2579732

Cited by 6 publications

(13 citation statements)

References 68 publications

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“…Concerning residency status, ethnic Germans are a particular group in the context of ethnic networks (Glitz, 2012; Schaffner and Treude, 2014). For instance, only this group faced a sustained residential assignment between 1989 and 2009 in Germany (Federal Office for Migration and Refugees, 2007).…”

Section: Main Empirical Resultsmentioning

confidence: 99%

“…Prior research demonstrates that networks are ethnically stratified. To consider this, I distinguish between the share of the overall foreign‐born population FS jt and the share of the own ethnic group k in area j in survey year t , henceforth the ethnic share ES jkt (Schaffner and Treude, 2014):

\begin{matrix} F S_{italicjt} = Share of the foreign - born population in area j (residential segregation) \\ = \frac{{Immigrant}_{jt}}{{Population}_{jt}} \end{matrix}

\begin{matrix} E S_{j k t} = Ethnic share in area j for the ethnic group k (ethnic network) \\ = \frac{{Immigrant}_{j k t}}{{Population}_{j t}} \end{matrix}

…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…Moreover, in Germany, natives and immigrants are assigned to authorities and administrations based on zip codes. Thus, the information channel also predicts that networks are constructed at the zip code level (Schaffner and Treude, 2014). 13…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…In Microm Raster data, ethnic affiliation is identified by the first names and surnames of household heads (Budde and Eilers, 2014; Microm Consumer Marketing, 2014). By using international registers of names, and by combining collected names in different zip codes with the linguistic ancestry of names, foreign and ethnic shares can be captured (Budde and Eilers, 2014; Microm Consumer Marketing, 2014; Schaffner and Treude, 2014). 14…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…Zip code areas are on a coarser level of local labor market regions. Thus, only commuting a large distance would make it possible for personal networks to work on such a level (Kosfeld and Werner, 2012; Schaffner and Treude, 2014). Descriptive statistics on the ethnic composition at this aggregated level are displayed in Panel B of Table 3.…”

Section: Identification Strategymentioning

confidence: 99%

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Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

Schuß

2020

Labour

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The question to what extent ethnic networks affect occupational mismatch has so far been overlooked. This paper exploits supraregional variation in ethnic composition in Germany and shows that a one standard deviation increase in the share of the own ethnic group per zip code significantly reduces the years of overqualification for females, by 0.27 years. For males, neither the foreign share nor the ethnic share per residency area is found to significantly impact the extent of overqualification. Selection into residency groups and occupations and different endowments in language capital explain the more efficient benefit of ethnic networks accrued to females.

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Section: Main Empirical Resultsmentioning

confidence: 99%

\begin{matrix} F S_{italicjt} = Share of the foreign - born population in area j (residential segregation) \\ = \frac{{Immigrant}_{jt}}{{Population}_{jt}} \end{matrix}

\begin{matrix} E S_{j k t} = Ethnic share in area j for the ethnic group k (ethnic network) \\ = \frac{{Immigrant}_{j k t}}{{Population}_{j t}} \end{matrix}

…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Section: Identification Strategymentioning

confidence: 99%

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Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

Schuß

2020

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Migration und Lohnungleichheit: Eine detaillierte Analyse für Deutsche Metropol- und Nicht-Metropolregionen

Schmid

2023

Rev Reg Res

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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.

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The impact of co-national networks on asylum seekers’ employment: Quasi-experimental evidence from Germany

Stips

Kis‐Katos

2020

PLoS ONE

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Using novel registry data on persons receiving asylum welfare benefits in Germany for the period from 2010 to 2016, and quasi-experimental variation induced by German allocation policies, we identify the role that the size and composition of local co-national networks of asylum seekers play for formal labor market access within the same group. While the individual employment probability is not linked to network size, it increases with the number of employed local co-national asylum seekers and decreases with the number of nonemployed network members, thereby underlining the central importance of network quality.

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The Effect of Ethnic Clustering on Migrant Integration in Germany

Cited by 6 publications

References 68 publications

Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

Migration und Lohnungleichheit: Eine detaillierte Analyse für Deutsche Metropol- und Nicht-Metropolregionen

The impact of co-national networks on asylum seekers’ employment: Quasi-experimental evidence from Germany

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