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Candidate Experience and Electoral Success

Published online by Cambridge University Press:  30 May 2022

Agustina Haime*
Affiliation:
Universidad Torcuato Di Tella, Buenos Aires, Argentina
Agustín Vallejo
Affiliation:
University of Houston, Houston, Texas, US
Leslie Schwindt-Bayer
Affiliation:
Rice University, Houston, Texas, US
*
*Corresponding author. Email: ahaime@utdt.edu
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Abstract

Studies of how previous political experience affects a candidate’s electoral success have overlooked the experience that candidates get from running campaigns even if they lose. This article argues that experience running for office, whether successfully or unsuccessfully, could give candidates several benefits, such as expertise in running strong campaigns, a network of connections, and visibility among the electorate. As a result, candidate experience, not just office-holding experience, should be positively correlated with electoral success. The article tests this expectation in Brazil using a database of candidates for seven types of elected offices between 1998 and 2018. It finds that candidates who ran for, but lost, elected offices are more likely to win when they run in future elections for the same and lower-ranked offices, compared to candidates with no experience running for office. Thus, candidate experience, not just office-holding experience, is important for explaining electoral success in politics.

Resumo

Resumo

Neste artículo argumentamos que a experiência de participação na competição eleitoral, seja ela bem-sucedida ou não, pode beneficiar candidatos de diversas formas, ampliando seu conhecimento e expertise no desenvolvimento de campanhas, fortalecer redes políticas e garantir visibilidade entre o eleitorado. Como resultado, a experiência eleitoral do candidato, não apenas a ocupação prévia de cargo eletivo, deveria estar positivamente correlacionada com sucesso eleitoral. Além disso, cargos mais importantes devem garantir maiores chances de sucesso eleitoral para candidatos concorrendo a cargos menos importantes. Nossas hipóteses foram testadas a partir de dados para o Brasil, considerando sete tipos diferentes de cargos em disputa, de 1998 a 2018. Nossos resultados apontam que candidatos que concorreram às eleições e perderam a disputa possuem mais chances de vitória em eleições futuras para o mesmo cargo disputado ou para cargos menos importantes, quando comparados com candidatos sem experiência prévia em eleições.

Information

Type
Electoral Politics
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 in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the Latin American Studies Association
Figure 0

Table 1. Number of candidates running for each office by election year.

Figure 1

Figure 1. Percentage of candidates running for office who had previous candidate experience in that or other offices.

Figure 2

Figure 2. The differences in predicted probabilities of winning lower-level elections. Predicted probabilities were calculated holding all continuous variables at their mean values and categorical variables at the mode. The circles show the difference in predicted probability of winning a seat (i.e., first difference) for the office on the x-axis between a candidate with previous experience running for the higher-level office indicated and a candidate with no such previous experience. Differences were calculated using MoreClarify in Stata. Bars show 95% confidence intervals.

Figure 3

Figure 3. The differences in predicted probabilities of winning election to the same office. Predicted probabilities were calculated holding all continuous variables at their mean values and categorical variables at the mode. Circles show the difference in predicted probability of winning a seat (i.e., first difference) between a candidate with previous experience running for the office indicated and a candidate with no experience running for that office. Differences were calculated using MoreClarify in Stata. Bars show 95% confidence intervals.

Figure 4

Figure 4. The differences in predicted probabilities for winning higher-level offices. Predicted probabilities were calculated holding all continuous variables at their mean values and categorical variables at the mode. Circles show the difference in predicted probability of winning a seat (i.e., first difference) for the office on the x-axis between a candidate with previous experience running for the lower-level office indicated and a candidate with no such previous experience. Differences were calculated using MoreClarify in Stata. Bars show 95% confidence intervals. Note that candidate experience variables for federal deputy, state deputy, mayor of small municipality, and state deputy were not included in the governor model because they predicted failure perfectly. City council candidate experience is excluded from the mayor of a large municipality analysis for the same reason.

Supplementary material: PDF

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