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?:abstract
  • This paper presents evidence from the first national immigrant election face-to-face survey ever conducted in Germany. Using data on German voters with a (post-)Soviet and Turkish background at the 2017 Bundestag election, the paper answers the following questions: How well can the Michigan Model (Campbell et al. 1960), as the standard model of voting, explain immigrant party preferences in Germany? How do immigrant voters differ – if at all – from native voters? The empirical analyses on propensities to vote for all major parties in Bundestag yield the following results: (1) The Michigan Model explains the party preferences of immigrant voters well. Immigrant voters use long-term memories of relationships with parties (party identification) and short-term evaluations, such as competence evaluations, to assess parties. They also relate their own issue positions to that of the parties in order to minimise distances. (2) Short-term factors are more important among immigrant compared to native voters, mirroring the shorter collective historical experience with parties. (3) Immigrantspecific factors neither have direct, nor substantial moderating effect. (4) However, immigrant-specific factors affect the emergence of political attitudes necessary to position oneself in political space. Overall, the party preferences of immigrant voters follow the same model as natives at the core with small differences at the margins. (xsd:string)
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  • (GLES) (CDC) (xsd:string)
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  • Community Data Collection-Bibliography (xsd:string)
  • GLES-Bibliography (xsd:string)
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  • 8. Fassung, Februar 2019 (xsd:gyear)
?:dateModified
  • 2018 (xsd:gyear)
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  • 2018 (xsd:gyear)
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  • Alike at the Core, Different at the Margins: a Comparative Analysis of Party Preferences between Immigrant and Native Voters at the 2017 Bundestag Election (xsd:string)
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  • inproceedings (xsd:string)
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  • Centre d'études européennes et de politique compare Sciences Po Paris 2018 (xsd:string)
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  • Bibsonomy (xsd:string)
  • In Centre d'études européennes et de politique compare Sciences Po Paris 2018, 2018 (xsd:string)
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  • Community Data Collection (CDC) (xsd:string)
  • German Longitudinal Election Study (GLES) (xsd:string)
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  • 2018 (xsd:string)
  • 2023 (xsd:string)
  • CDC (xsd:string)
  • CDC_input2023 (xsd:string)
  • CDC_pro (xsd:string)
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