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dc.contributor.authorCools, Sara
dc.contributor.authorFinseraas, Henning
dc.contributor.authorRogeberg, Ole
dc.date.accessioned2021-08-25T06:34:33Z
dc.date.available2021-08-25T06:34:33Z
dc.date.created2021-07-06T20:01:36Z
dc.date.issued2021
dc.identifier.citationAmerican Journal of Political Science (AJPS). 2021, 1-19.
dc.identifier.issn0092-5853
dc.identifier.urihttps://hdl.handle.net/11250/2771059
dc.description.abstractDoes 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. Although 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.
dc.language.isoeng
dc.titleLocal Immigration and Support for Anti-Immigration Parties: A Meta-Analysis
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber1-19
dc.source.journalAmerican Journal of Political Science (AJPS)
dc.identifier.doi10.1111/ajps.12613
dc.identifier.cristin1920550
dc.relation.projectNorges forskningsråd: 270687
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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