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 |
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creator | White, Ariel 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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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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