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An efficiency characterization of plurality social choice on simple preference domains

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Author Info
Biung-Ghi Ju ()

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Abstract

We consider a model of social choice dealing with the problem of choosing a subset from a set of objects (e.g. candidate selection, membership, and qualification problems). Agents have trichotomous preferences for which objects are partitioned into three indifference classes, goods, bads, and nulls, or dichotomous preferences for which each object is either a good or a bad. We characterize plurality-like social choice rules on the basis of the three main axioms, known as Pareto efficiency, anonymity, and independence. Copyright Springer-Verlag Berlin/Heidelberg 2005

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File URL: http://hdl.handle.net/10.1007/s00199-004-0533-1
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Publisher Info
Article provided by Springer in its journal Economic Theory.

Volume (Year): 26 (2005)
Issue (Month): 1 (07)
Pages: 115-128
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Handle: RePEc:spr:joecth:v:26:y:2005:i:1:p:115-128

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Related research
Keywords: Pareto efficiency; Anonymity; Independence; Plurality; Trichotomous preferences; Dichotomous preferences.;

Cited by:
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  1. Biung-Ghi Ju, 2005. "A Characterization of Plurality-Like Rules Based on Non-Manipulability, Restricted Efficiency, and Anonymity," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200509, University of Kansas, Department of Economics, revised Mar 2005. [Downloadable!]
    Other versions:
  2. Arlegi, Ritxar & Dimitrov, Dinko, 2008. "Dichotomous Preferences and Power Set Extensions," Discussion Papers in Economics 6431, University of Munich, Department of Economics. [Downloadable!]
  3. Chun-Hsien Yeh, 2008. "An efficiency characterization of plurality rule in collective choice problems," Economic Theory, Springer, vol. 34(3), pages 575-583, March. [Downloadable!] (restricted)
  4. Biung-Ghi Ju, 2005. "Individual Powers and Social Consent: An Axiomatic Approach," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200508, University of Kansas, Department of Economics, revised Mar 2005. [Downloadable!]
    Other versions:
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