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Follow the majority? How voters coordinate electoral support to secure club goods

Published online by Cambridge University Press:  23 December 2020

Dominik Duell*
Affiliation:
University of Essex, Colchester, UK
*
Corresponding author. Email: dominik.duell@essex.ac.uk
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Abstract

Voters often favor candidates who benefit them individually but may coordinate their support with their social group on other candidates in exchange for policies targeting their group. In a laboratory experiment, I induce group identities to investigate the behavior of voters facing such trade-offs. I find that groups with low within heterogeneity often secure the club good from a candidate who is also individually beneficial to a majority of the group. In more heterogeneous groups, coordination on that candidate often fails and while the group still receives club goods, it is from a candidate whose policies are otherwise individually costly to most of the group. The results highlight the role strategic considerations play in the formation of group-based electoral coalitions.

Information

Type
Original Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of the European Political Science Association
Figure 0

Figure 1. Distribution of income in majority MJ and minority MI (gray markers) within societies by group heterogeneity.

Figure 1

Table 1. Number of societies, subjects, and subject-round observations for appeal and group heterogeneity treatment conditions

Figure 2

Figure 2. Distribution of relative frequency of strategy profiles by group heterogeneity and appeal treatments.

Figure 3

Figure 3. Vote share of the wealth-preserving candidate R by group heterogeneity and appeal treatments for majority MJ and minority MI. Confidence bars are computed from a subject-level clustered bootstrap.

Figure 4

Figure 4. Vote share of the wealth-preserving candidate R for poor and rich members of the majority MJ by appeal treatment and coordination propensity (medium and high group heterogeneity). Confidence bars are computed from a subject-level clustered bootstrap.

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