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The impossibility of unbiased judgment aggregation (updated version)

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Author Info
Franz Dietrich (University of Maastricht, The Netherlands)
Christian List (London School of Economics, UK)

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Abstract

All existing impossibility theorems on judgment aggregation over logically connected propositions have one of two restrictions: they either use a controversial systematicity condition or apply only to special agendas of propositions with rich logical connections. An important open question is whether judgment aggregation faces any serious impossibilities without these restrictions. Here we prove the first impossibility theorem without systematicity that applies to all standard agendas: there exists no judgment aggregation rule satisfying universal domain, collective rationality, anonymity and a new condition called unbiasedness. For many agendas, anonymity can be weakened. Applied illustratively to (strict) preference aggregation represented in the judgment aggregation model, our result implies that every unbiased social welfare function with universal domain depends only on a single individual.

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File URL: http://129.3.20.41/eps/pe/papers/0510/0510001.pdf
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Publisher Info
Paper provided by EconWPA in its series Public Economics with number 0510001.

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Length: 14 pages
Date of creation: 01 Oct 2005
Date of revision: 31 Oct 2005
Handle: RePEc:wpa:wuwppe:0510001

Note: Type of Document - pdf; pages: 14
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Web page: http://129.3.20.41

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Related research
Keywords: judgment aggregation; discursive dilemma; formal logics; impossibility theorem; unbiasedness; systematicity; agendas;

Find related papers by JEL classification:
D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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  1. Bradley, Richard & Dietrich, Franz & List, Christian, 2007. "Aggregating causal judgements," Research Memoranda 001, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization. [Downloadable!]
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This page was last updated on 2009-10-18.


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