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Divided Majority and Information Aggregation: Theory and Experiment

Laurent Bouton, Micael Castanheira and Aniol Llorente-Saguer

No 2012_20, Discussion Paper Series of the Max Planck Institute for Research on Collective Goods from Max Planck Institute for Research on Collective Goods

Abstract: This paper both theoretically and experimentally studies the properties of plurality and approval voting when the majority is divided as a result of information imperfections. The minority backs a third alternative, which the majority views as strictly inferior. The majority thus faces two problems: aggregating information and coordinating to defeat the minority candidate. Two types of equilibria coexist under plurality: either voters aggregate information, but this requires splitting their votes, or they coordinate but cannot aggregate information. With approval voting, expected welfare is strictly higher, because some voters multiple vote to achieve both goals at once. In the laboratory, we observe both types of equilibrium under plurality. Which one is selected depends on the size of the minority. Approval voting vastly outperforms plurality. Finally, subject behavior suggests the need to study asymmetric equilibria.

Keywords: Experiments; Multicandidate Elections; Plurality; Approval Voting (search for similar items in EconPapers)
JEL-codes: C72 C92 D70 P16 (search for similar items in EconPapers)
Date: 2012-11
New Economics Papers: this item is included in nep-cdm, nep-exp, nep-ore and nep-pol
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Divided majority and information aggregation: Theory and experiment (2016) Downloads
Working Paper: Divided Majority and Information Aggregation: Theory and Experiment (2016)
Working Paper: Divided Majority and Information Aggregation: Theory and Experiment (2015) Downloads
Working Paper: Divided Majority and Information Aggregation: Theory and Experiment (2012) Downloads
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