Evaluating the Minority Candidate Penalty with a Regression Discontinuity Approach

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. Utilisin...

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Veröffentlicht in:British journal of political science 2024-07, Vol.54 (3), p.1006-1013
Hauptverfasser: White, Ariel, Shah, Paru, Juenke, Eric Gonzalez, Fraga, Bernard L.
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Shah, Paru
Juenke, Eric Gonzalez
Fraga, Bernard L.
description 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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ispartof British journal of political science, 2024-07, Vol.54 (3), p.1006-1013
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source Worldwide Political Science Abstracts; Sociological Abstracts; Cambridge University Press Journals Complete
subjects Candidates
Disadvantaged
Discontinuity
Elections
Ethnic groups
Experiments
Fines & penalties
Letter
Minority & ethnic groups
Minority groups
Nominations
Racism
title Evaluating the Minority Candidate Penalty with a Regression Discontinuity Approach
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