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How do intersecting identities of gender and race influence candidate preference among Latinos and Asian Americans? Drawing on a unique post-election survey with a large oversample of non-white respondents, we employ Bayesian multilevel regression with post-stratification to examine the role of intersectional linked fate in shaping support for Donald Trump in the 2020 presidential election among Asian and Latino Americans. Our preliminary findings suggest that intersectional linked fate is a substantively meaningful predictor of support for Trump, particularly among women. However, we also find substantial heterogeneity in these effects across different Latino ethnic subgroups and to a lesser extent among Asian Americans.
Meredith Niezgoda, University of North Texas
Adam Jordan Nafa, University of North Texas
DeAnne Roark, Cornell University
Valerie J. Martinez-Ebers, University of North Texas