Konferenzbeitrag
"The mother of all political problems''? On asylum seekers and elections in Germany
Drawing on panel data from six elections between 1998 and 2017 in Germany, we estimate the causal effect of immigration - described by Germany's interior minister as the "mother of all political problems" - on electoral support for the far right and the far left. Our identification strategy is underpinned by focusing on a particular category of immigrants, asylum seekers, who are administratively allocated across Germany according to pre-defined quotas. We find that the presence of asylum seekers has a polarizing effect, increasing vote shares for both the far right and far left. For the right, the magnitude of this effect is found to be independent of the unemployment level. For the left, the positive effect of asylum seekers tapers off with increases in unemployment, eventually becoming negative. The results suggest that the confluence of high unemployment and high immigration would tilt the electoral landscape in Germany to the right.
- Sprache
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Englisch
- Erschienen in
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Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2019: 30 Jahre Mauerfall - Demokratie und Marktwirtschaft - Session: Political Economy - Elections I ; No. A23-V2
- Klassifikation
-
Wirtschaft
Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Immigration Law
Capitalist Systems: Political Economy
- Thema
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Asylum seekers
foreigners
voting outcomes
fractional response
instrumental variables
- Ereignis
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Geistige Schöpfung
- (wer)
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Tomberg, Lukas
Smith Stegen, Karen
Vance, Colin
- Ereignis
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Veröffentlichung
- (wer)
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ZBW - Leibniz-Informationszentrum Wirtschaft
- (wo)
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Kiel, Hamburg
- (wann)
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2019
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Tomberg, Lukas
- Smith Stegen, Karen
- Vance, Colin
- ZBW - Leibniz-Informationszentrum Wirtschaft
Entstanden
- 2019