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Early Money and Strategic Candidate Exit

Published online by Cambridge University Press:  08 August 2025

Danielle M. Thomsen*
Affiliation:
Department of Political Science, University of California, Irvine, CA, USA
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Abstract

This paper departs from the ballot to examine dropout decisions in congressional elections from 1980 to 2022. I draw on an original dataset of 26,000 U.S. House candidates who were voted on in the primary or raised money but were not on the ballot. Moving beyond the ballot reveals new patterns of strategic candidate exit. While prior work focused on differences in the entry of experienced candidates, I find that experienced candidates who struggle to raise money are more likely to exit. In addition, the relationship between early fundraising and dropout decisions has changed dramatically over time. Experienced candidates who fail to make early fundraising inroads are far more likely to drop out today than in previous decades. The exit of experienced candidates has important implications for the choices that voters have. The findings provide new evidence of how money shapes the trajectory of campaigns well before the election.

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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 (https://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), 2025. Published by Cambridge University Press
Figure 0

Table 1. Early Money, Experience, and Candidate Exit

Figure 1

Figure 1. Probability of Dropping Out, By Early Money and Experience.Note: Predicted values are generated from Model 4 in Table 1.

Figure 2

Table 2. Changes in Primary Election Dates and Filing Deadlines

Figure 3

Table 3. Dropout Decisions Among Sitting State Legislators, By Re-Election Status and Early Money

Figure 4

Table 4. Experienced Candidates on the Ballot and Primary Competition

Figure 5

Figure 2. Likelihood of Competitive Primary by Number of Experienced On-Ballot Candidates.Note: Predicted values are generated from Models 1 and 2 in Table 4.

Figure 6

Figure 3. Number of Experienced Candidates on the Ballot in Primaries with an Experienced Dropout.Note: The graphs show the number of experienced candidates on the ballot in primaries with an experienced dropout. The y-axis is the percentage of primaries that fall in each category and thus total 100 per cent. The left graph includes all primaries with no incumbent, and the right graph is further limited to open seats. The sample is limited to safe and competitive districts.

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