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Bayesian social aggregation with non-Archimedean utilities and probabilities

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  • Marcus Pivato

    (THEMA, CY Cergy Paris Université)

  • Élise Flore Tchouante

    (THEMA, CY Cergy Paris Université)

Abstract

We consider social decisions under uncertainty. Given certain richness conditions, we show that the ex ante social preference order satisfies a Pareto axiom with respect to ex ante individual preferences, along with an axiom of Statewise Dominance, if and only if all agents admit subjective expected utility (SEU) representations with the same beliefs, and furthermore the social preferences are utilitarian (i.e. the social utility function is the sum of the individual utility functions). In these SEU representations, the utility functions take values in an ordered abelian group, and probabilities are represented by order-preserving automorphisms of this group. This group may be non-Archimedean; this allows the SEU representations to encode lexicographical preferences and/or infinitesimal probabilities. Relative to earlier results in Bayesian social aggregation, our framework is minimal, with a finite set of states of nature, no structure on the set of social outcomes, and preferences not assumed to be continuous.

Suggested Citation

  • Marcus Pivato & Élise Flore Tchouante, 2024. "Bayesian social aggregation with non-Archimedean utilities and probabilities," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(3), pages 561-595, May.
  • Handle: RePEc:spr:joecth:v:77:y:2024:i:3:d:10.1007_s00199-023-01509-w
    DOI: 10.1007/s00199-023-01509-w
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    More about this item

    Keywords

    Utilitarian; Uncertainty; Non-Archimedean; Lexicographic; Infinitesimal; Linearly ordered abelian group; Subjective expected utility;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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