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Replication Data for: Local Immigration and Support for Anti-Immigration Parties: A Meta-Analysis

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Local Immigration and Support for Anti-Immigration Parties: A Meta-Analysis
 
Identifier https://doi.org/10.7910/DVN/TEPAK4
 
Creator Cools, Sara
Finseraas, Henning
Rogeberg, Ole
 
Publisher Harvard Dataverse
 
Description Does the share of immigrants in a community influence whether people vote for anti-immigration parties? We conduct a systematic review of the causal inference literature studying this question. We collect estimates from 20 studies and develop a new Bayesian meta-analysis framework to account for both between-study heterogeneity in effect sizes and the possibility of reporting bias. While meta-analysis methods that do not adjust for reporting bias suggest a moderate effect of local immigration, our Bayesian model finds that the effect of local immigration on far-right voting is on average negligible once we account for reporting bias. However, the analysis also reveals a large heterogeneity in effects across contexts, suggesting that local immigration may be important for anti-immigration vote shares in certain settings.
 
Subject Social Sciences
Meta-analysis
Reporting bias
Immigration
Anti-immigration parties
 
Contributor Finseraas, Henning
 
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