Evaluating the Minority Candidate Penalty with a Regression Discontinuity Approach

BRITISH JOURNAL OF POLITICAL SCIENCE(2024)

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摘要
Do parties face an electoral penalty when they nominate candidates of colour? We employ a regression discontinuity design using state legislative election data from 2018, 2019, and 2020 to isolate the effect of nominating a candidate of colour on a party's general election performance. Utilising this approach with real-world data heightens external validity relative to existing racial penalty studies, largely supported by surveys and experiments. We find no evidence that candidates of colour are disadvantaged in state legislative general elections relative to narrowly nominated white candidates from the same party. These findings challenge the leading explanations for the underrepresentation of racial/ethnic minority groups, with implications for candidate selection across the United States.
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关键词
race/ethnic representation,candidate evaluations,voter bias
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