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Shifting Patterns of Individual Donations in State Supreme Court Elections

Published online by Cambridge University Press:  16 June 2026

Brent D. Boyea*
Affiliation:
Department of Political Science, The University of Texas at Arlington , Arlington, TX, USA
Paul Brace
Affiliation:
Department of Political Science, Rice University , Houston, TX, USA
*
Corresponding author: Brent Boyea; Email: boyea@uta.edu
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Abstract

State judicial elections in the United States have become increasingly expensive, raising concerns about the influence of campaign contributions on judicial impartiality. This study examines individual donations – specifically from attorneys, non-attorneys, and business donors – in state supreme court elections from 2000 to 2023. The analysis reveals that attorneys predominantly support candidates with judicial experience and Democratic affiliation, while non-attorneys and business donors favor Republican candidates and high-profile races. These patterns underscore distinct motivations among donor groups and offer insights into the evolving dynamics of judicial campaign finance.

Information

Type
Original 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
© The Author(s), 2026. Published by Cambridge University Press on behalf of the State Politics and Policy Section of the American Political Science Association
Figure 0

Table 1. Descriptive statisticsTable 1. long description.

Figure 1

Figure 1. Individuals donations by election cycle.Figure 1. long description.

Figure 2

Figure 2. Individual donations by state.Figure 2. long description.

Figure 3

Table 2. Multilevel models predicting individual donations, contested elections, 2000–2023Table 2. long description.

Figure 4

Table 3. Marginal effects for models of individual donationsTable 3. long description.

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