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Giving to the Extreme? Experimental Evidence on Donor Response to Candidate and District Characteristics

Published online by Cambridge University Press:  25 January 2024

Mellissa Meisels*
Affiliation:
Department of Political Science, Vanderbilt University, US
Joshua D. Clinton
Affiliation:
Department of Political Science, Vanderbilt University, US
Gregory A. Huber
Affiliation:
Political Science and Institution for Social and Policy Studies, Yale University, US
*
Corresponding author: Mellissa Meisels; Email: mellissa.b.meisels@vanderbilt.edu
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Abstract

How does candidate ideology affect donors' contribution decisions in U.S. House elections? Studies of donor motivations have struggled with confounding of candidate, donor, and district characteristics in observational data and the difficulty of assessing trade-offs in surveys. We investigate how these factors affect contribution decisions using experimental vignettes administered to 7,000 verified midterm donors. While ideological congruence influences donors' likelihood of contributing to a candidate, district competitiveness and opponent extremity are equally important. Moreover, the response to ideology is asymmetric and heterogeneous: donors penalize more moderate candidates five times more heavily than more extreme candidates, with the most extreme donors exhibiting the greatest preference for candidates even more extreme than themselves. Republicans also exhibit a greater relative preference for extremism than Democrats, although partisan differences are smaller than differences by donor extremism. Our findings suggest that strategic considerations matter, and donors incentivize candidate extremism even more than previously thought.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Table 1. Donor self-reported demographics

Figure 1

Table 2. Randomized vignette features

Figure 2

Figure 1. The proportion of donors wanting to give by candidate ideology. The horizontal axis is randomized candidate ideology, described relative to the donor's own positions. The vertical axis is the percentage of donors who indicated being very likely or almost certain to contribute to the candidate.

Figure 3

Figure 2. The average effect of vignette manipulations on the likelihood of contributing. Whiskers are 95 per cent confidence intervals. The outcome is 1 if ‘Very Likely’ or ‘Almost Certain’ to contribute and 0 otherwise. The intercept is 0.34.

Figure 4

Table 3. Predicted likelihood of giving

Figure 5

Figure 3. Self-reported motivation for giving. Weighted proportions of responses to, ‘which better characterizes your decision to contribute to a specific <> House candidate?’

Figure 6

Figure 4. The average effect of vignette manipulations on the likelihood of contributing by self-reported donation motivation. Hollow circles report prioritizing winning over issues when contributing, and filled circles prioritize issues over winning. Whiskers are 95 per cent confidence intervals. Outcome is 1 if ‘Very Likely’ or ‘Almost Certain’ to contribute, and 0 otherwise. Intercept is 0.38 for Winning and 0.35 for Issues.

Figure 7

Figure 5. The relationship between issue-based ideology and self-reported ideology by party. The horizontal axis is an absolute scaled issue-based PCA score. The vertical axis is the proportion of donors in the bin who identified as ‘Extremely Liberal’ or ‘Extremely Conservative’. Bin intervals span 0.1 on the absolute PCA scale.

Figure 8

Figure 6. The average effect of vignette manipulations on the likelihood of contributing by ideological extremism. Left: Extreme identified as extremely liberal or conservative. The baseline is 0.39 for Extreme and 0.33 for Non-Extreme. Right: Extreme falls in equivalent quantiles of issue-based PCA scores. The baseline is 0.40 for Extreme and 0.33 for Non-Extreme. Whiskers are 95 per cent confidence intervals. Outcome is 1 if ‘Very Likely’ or ‘Almost Certain’ to contribute, and 0 otherwise.

Figure 9

Figure 7. Effect of same-party candidate ideology by party and extremism. Models include all vignette manipulations. Left: Extreme identified as ‘Extremely Liberal’ or ‘Extremely Conservative’. Right: Extreme falls in equivalent quantiles of issue-based PCA scores. Whiskers are 95 per cent confidence intervals. Outcome is 1 if ‘Very Likely’ or ‘Almost Certain’ to contribute, and 0 otherwise.

Figure 10

Table 4. Party-interacted effect of candidate ideology on giving

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