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Many of Us Are Not Like the Others

Country of Origin and Latino Voting Behavior in the United States

Bibliographic Data

ID5349482
AuthorsFrancesco Bromo (0000-0002-5616-9505, University of Oxford, corresponding author), Lindsey P González (Mitchell Institute), Mónica Muñoz (0000-0002-8890-4535, Texas Tech University), Kristy M Pathakis (0000-0001-8073-3375, Mitchell Institute)
Year2025
Pages1-25
Publication date2025-10-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Race Ethnicity and Politics (JOURNAL)
Journal identifiersISSN: 2056-6085 • E-ISSN: 2056-6085
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/rep.2025.10025
OpenAlexW4414848462
LanguageEN
Citations received2
References cited59

In the United States, Latinos are often treated as a monolithic voting bloc, but this approach overlooks significant variation in political behavior across sub-groups from different countries of origin. This paper explores the role of country of origin (CoO) in shaping the partisanship and electoral choices of U.S. Latinos, arguing that national origin influences party identification and voting behavior. Using data from the Collaborative Multi-Racial Post-Election Survey (CMPS), spanning elections from 2008 to 2020, we examine how Latino voters from different countries differ in their partisanship and support for Republican and Democratic candidates. Our findings reveal substantial variation in vote choice and partisan identification based on CoO. We employ genetic matching to control for key covariates, revealing that aggregate country-of-origin differences show up repeatedly in elections over time. These results suggest that aggregating Latinos into a single voting bloc obscures meaningful political diversity and that a country-of-origin approach offers valuable insights into Latino electoral behavior

Politics · Ranked voting system · Voting · Voting behavior · Advanced Causal Inference Techniques · Electoral Systems and Political Participation · School Choice and Performance

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Unique citing works2
Citations per year2
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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