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Rank Dependent Weighted Average Utility Models for Decision Making under Ignorance or Objective Ambiguity

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  • Nicolas Gravel

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Thierry Marchant

    (UGENT - Universiteit Gent = Ghent University)

Abstract

The paper provides an axiomatic characterization of a family of rank dependent weighted average utility criteria applicable to decisions under ignorance or objective ambiguity. A decision under ignorance is described by the finite set of its final consequences while a decision under objective ambiguity is described by a finite set of probability distributions over a set of final consequences. The criteria characterized are those that assign to every element in a set a weight that depends upon the rank of this element if it was available for sure (or non-ambiguously) and that compare sets on the basis of their weighted utility for some utility function. A specific subfamily of these criteria that requires the weights to be proportional to each other is also characterized.

Suggested Citation

  • Nicolas Gravel & Thierry Marchant, 2022. "Rank Dependent Weighted Average Utility Models for Decision Making under Ignorance or Objective Ambiguity," Working Papers hal-03817362, HAL.
  • Handle: RePEc:hal:wpaper:hal-03817362
    Note: View the original document on HAL open archive server: https://amu.hal.science/hal-03817362
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    References listed on IDEAS

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    1. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
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    More about this item

    Keywords

    Ignorance; Ambiguity; Ranking Sets; Axioms; Ranks; Weights; Utility;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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