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Group Decision-Making in the Shadow of Disagreement

Group decision-making in the shadow of disagreement
Authors: Kfir Eliaz; Debraj Ray; Ronny Razin;

Group Decision-Making in the Shadow of Disagreement

Abstract

A model of group decision-making is studied, in which one of two alternatives must be chosen. While agents differ in their preferences over alternatives, everybody prefers agreement to disagreement. Our model is distinguished by three features: private information regarding valuations, differing intensities in preferences, and the option to declare neutrality to avoid disagreement. There is always an equilibrium in which the majority is more aggressive in pushing its alternative, thus enforcing their will via both numbers and voice. However, under general conditions an aggressive minority equilibrium inevitably makes an appearance, provided that the group is large enough. Such equilibria invariably display a >tyranny of the minority>: the increased aggression of the minority always outweighs their smaller number, leading to the minority outcome being implemented with larger probability than the majority alternative. We fully characterize the asymptotic behavior of this model as group size becomes large, and show that all equilibria must converge to one of three possible limit outcomes. © 2005 Elsevier Inc. All rights reserved.

Support from the National Science Foundation under Grant no. 0421852 is gratefully acknowledged.

Peer Reviewed

Country
Spain
Keywords

Collective decision-making, Groups, Disagreements, Decision rules, Groups, Disagreements, \(n\)-person games, \(n>2\), groups, Social choice, Decision theory, D71, preference intensities, D78, Collective decision-making, pivotality, ddc:330, Gruppenentscheidung, decision-making, Group preferences, D82, Asymmetrische Information, Decision rules, Theorie, jel: jel:D82, jel: jel:D71, jel: jel:D72, jel: jel:D78

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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