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Maximal domain for strategy-proof probabilistic rules in economies with one public good

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  • Shuhei Morimoto

Abstract

We consider the problem of choosing a level of a public good on an interval of the real line among a group of agents. A probabilistic rule chooses a probability distribution over the interval for each preference profile. We investigate strategy-proof probabilistic rules in the case where distributions are compared based on stochastic dominance relations. First, on a “minimally rich domain”, we characterize the so-called probabilistic generalized median rules (Ehlers et al., J Econ Theory 105:408–434, 2002 ) by means of stochastic-dominance (sd) strategy-proofness and ontoness. Next, we study how much we can enlarge a domain to allow for the existence of sd-strategy-proof probabilistic rules that satisfy ontoness and the no-vetoer condition. We establish that the domain of “convex” preferences is the unique maximal domain including a minimally rich domain for these properties. Copyright Springer-Verlag Berlin Heidelberg 2013

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  • Shuhei Morimoto, 2013. "Maximal domain for strategy-proof probabilistic rules in economies with one public good," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 41(3), pages 637-669, September.
    • Handle: RePEc:spr:sochwe:v:41:y:2013:i:3:p:637-669
    DOI: 10.1007/s00355-012-0700-4
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