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The rhyme and reason of rebel support: exploring European voters’ attitudes toward dissident MPs

Published online by Cambridge University Press:  09 August 2023

Dominik Duell
Affiliation:
University of Innsbruck, Innsbruck, Austria
Lea Kaftan
Affiliation:
Department of Philosophy, Politics, and Economics, Witten/Herdecke University, Witten, Germany
Sven-Oliver Proksch
Affiliation:
Cologne Center for Comparative Politics, University of Cologne, Cologne, Germany
Jonathan Slapin
Affiliation:
University of Zurich, Zurich, Switzerland
Christopher Wratil*
Affiliation:
University of Vienna, Department of Government, Vienna, Austria
*
Corresponding author: Christopher Wratil; Email: christopher.wratil@univie.ac.at
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Abstract

Citizens often support politicians who vote against their parties in parliament. They view rebels as offering better representation, appreciate expressive acts, take rebellion as a signal of standing up for constituents, or see rebels as defending their moral convictions. Each explanation has different implications for representation, but they have not yet been tested systematically against one another. We implement survey experiments on nationally representative samples in the UK, Germany, France, and Italy to assess whether voters treat rebellion as a cue for better representation or infer positive character traits implying a valence advantage. Policy congruence does not drive voters’ preference for rebels. However, voters do associate positive traits with rebel MPs, even if they do not feel better represented by them.

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
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Table 1. Wording of the presented bills

Figure 1

Table 2. Attributes and attribute levels

Figure 2

Table 3. Summary of vignette versions implemented at the respondent level

Figure 3

Table 4. Summary of empirical tests of the hypotheses

Figure 4

Figure 1. AMCE on outcome measures feeling represented and every MP like this MP for all attributes. Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

Figure 5

Figure 2. Difference between total rebel effect τ (Rebel) and rebel effect when respondents learn that the MP shares their policy positions, τ (Rebel|Congruence), does not share their policy positions τ (Rebel|No congruence), shares the public's policy positions, τ (Rebel|Congruence), or does not share the public's policy position τ (Rebel|No congruence). Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

Figure 6

Figure 3. Effect of rebellion on whether respondents attribute a character trait to the MP (MP traits). Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

Figure 7

Figure 4. AMCE on outcome measures feeling represented and every MP like this MP for all attributes by vignette number. Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

Figure 8

Figure 5. AMCE of rebel attribute on outcome variables feeling represented and every MP like this MP for baseline observations and observations with reminder. Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

Figure 9

Figure 6. Effect of rebellion on whether respondents attribute a character trait to the MP. Estimates taken from a regression of binary indicator whether a trait is attributed on rebel status interacted with after which vignette those associations were elicited. Note: We report 95 percent (thin line) and 90 percent confidence bounds (thick line) based on clustering standard errors at the respondent level.

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