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Descriptive Representation Boosting Right's Appeal to Poor: Brazil Case Study

Political Behavior subfield banner

Brazilian municipal elections often feature nonpolicy voter appeals, such as clientelism. But this study suggests that candidate profiles matter too.

📍 The Conventional View

It was thought that voters' preference for left-leaning descriptive representation would help the Left attract poor votes.

🔍 New Insight & Methodology

This paper uses a regression discontinuity design to analyze Brazilian elections data. We find something counterintuitive: Right-wing mayors actually spend more on policies helping the poor in cities with high poverty rates than their left-leaning counterparts do.

📊 Key Findings

• The Right matches Left's pro-poor policy positions only in areas with significant poverty

• To make themselves electable among the poor, they strategically select candidates who are demographically similar to those voters

• This finding contradicts assumptions that descriptive representation benefits only left-leaning parties

• Less educated candidates appear particularly effective for this strategy

Article card for article: Can Descriptive Representation Help the Right Win Votes from the Poor? Evidence from Brazil
Can Descriptive Representation Help the Right Win Votes from the Poor? Evidence from Brazil was authored by Anderson Frey and Zuheir Desai. It was published by Wiley in AJPS in 2023.
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American Journal of Political Science
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