Partisan Leaning

A decisive voter’s exact ideological preferences can be hard to predict, even for seasoned candidates. We develop a novel theory of electoral competition where candidates are evaluated on ideological and nonideological dimensions. The key feature of our theory is that an electorate’s partisan leaning serves as a signal of the median voter’s ideological position where extreme leanings are more informative about voters than centrist leanings. We show that this leads to an endogenous sorting of districts between “extreme” and “centrist” and that an increase in the importance of candidate competence for voters increases polarization—but only in extreme districts. We evaluate our theory using data from mayoral elections in Brazil’s 95 largest municipalities and exploit COVID-19 as a shock to the salience of candidate competence. We show that COVID-19 increases the salience of competence in these elections, leading to increased political polarization, which is concentrated in cities with extreme partisan leanings.

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Publication Details

Journal
American Political Science Review
Published
2025-03-28
DOI
https://doi.org/10.1017/s0003055424001175
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34
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article

Partisan Leaning

Anderson Frey, Scott A. Tyson, Zuheir Desai
1 citations
American Political Science Review
Computational and Text Analysis Methods
5.34
article

Partisan Leaning

Anderson Frey, Scott A. Tyson, Zuheir Desai
article en
1 citations

Abstract

A decisive voter’s exact ideological preferences can be hard to predict, even for seasoned candidates. We develop a novel theory of electoral competition where candidates are evaluated on ideological and nonideological dimensions. The key feature of our theory is that an electorate’s partisan leaning serves as a signal of the median voter’s ideological position where extreme leanings are more informative about voters than centrist leanings. We show that this leads to an endogenous sorting of districts between “extreme” and “centrist” and that an increase in the importance of candidate competence for voters increases polarization—but only in extreme districts. We evaluate our theory using data from mayoral elections in Brazil’s 95 largest municipalities and exploit COVID-19 as a shock to the salience of candidate competence. We show that COVID-19 increases the salience of competence in these elections, leading to increased political polarization, which is concentrated in cities with extreme partisan leanings.

American Political Science ReviewVol. 120(1)
The Ohio State University (US), University of Rochester (US)
Openalex Percentile: Top 6%
Computational and Text Analysis Methods
5.34
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