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Assessing the relative influence of party unity on vote choice: evidence from a conjoint experiment

Published online by Cambridge University Press:  21 September 2022

Roni Lehrer*
Affiliation:
University of Mannheim and Goethe University Frankfurt, Frankfurt, Germany
Pirmin Stöckle
Affiliation:
University of Mannheim, Mannheim, Germany
Sebastian Juhl
Affiliation:
University of Mannheim, Mannheim, Germany
*
*Corresponding author. Email: lehrer@uni-mannheim.de
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Abstract

Observational studies and anecdotal evidence suggest that party unity improves a party's electoral performance. Yet, due to a lack of experimental evidence, the causal standing of these findings remains unclear. Moreover, party unity manifests in various ways and we do not know how much different types of party unity affect the vote. Relying on a conjoint experiment implemented in a probability-based survey of the German population, our study unveils the distinct causal effect of different forms of party unity on vote choice. We further establish that appearing united can compensate for substantive policy distances between parties and voters. These findings have important implications for our understanding of how citizens vote and how intra-party politics affects the political representation of citizens in democracies.

Information

Type
Research Note
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
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Table 1. Attributes and attribute levels

Figure 1

Figure 1. Average marginal effects of different attributes. Estimates are based on a conditional logistic regression model with clustered standard errors; bars represent $95\percnt$ confidence intervals. The points without horizontal bars represent the reference categories.

Figure 2

Figure 2. Hypothetical competition scenarios.

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Lehrer_et_al._Dataset

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