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Decisions with conflicting and imprecise information

  • Thibault Gajdos

    ()

    (Department of Economics, Ecole Polytechnique - Polytechnique - X - CNRS - Centre National de la Recherche Scientifique, CERSES - Centre de recherche sens, ethique, société - CNRS - Centre National de la Recherche Scientifique - UPD5 - Université Paris Descartes - Paris 5, CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Christophe Vergnaud

    ()

    (CERSES - Centre de recherche sens, ethique, société - CNRS - Centre National de la Recherche Scientifique - UPD5 - Université Paris Descartes - Paris 5, CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

The most usual procedure when facing decisions in complex settings consists in consulting experts, aggregating the information they provide, and deciding on the basis of this aggregated information. We argue that such a procedure entails a substantial loss, insofar as it precludes the possibility to take into account simultaneously the decision maker's attitude towards conflict among experts and her attitude towards imprecision of information. We propose to consider directly how a decision maker behaves when using information coming from several sources. We give an axiomatic foundation for a decision criterion that allows to distinguish on a behavioral basis the decision maker's attitude towards imprecision and towards conflict.

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Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number hal-00443075.

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Date of creation: Jul 2013
Publication status: Published in Social Choice and Welfare, Springer Verlag, 2013, 41 (2), pp.427-452. <10.1007/s00355-012-0691-1>
Handle: RePEc:hal:cesptp:hal-00443075
DOI: 10.1007/s00355-012-0691-1
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00443075
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  1. Hervé Crès & Itzhak Gilboa, & Nicolas Vieille, 2011. "Aggregation of multiple prior opinions," Post-Print hal-01024224, HAL.
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  3. Chambers, Christopher P. & Echenique, Federico, 2012. "When does aggregation reduce risk aversion?," Games and Economic Behavior, Elsevier, vol. 76(2), pages 582-595.
  4. Thibault Gadjos & Jean-Marc Tallon & Jean-Christophe Vergnaud, 2002. "Decision Making with Imprecise Probabilistic Information," Working Papers 2002-33, Centre de Recherche en Economie et Statistique.
  5. Laure Cabantous & Denis Hilton & Howard Kunreuther & Erwann Michel-Kerjan, 2011. "Is imprecise knowledge better than conflicting expertise? Evidence from insurers’ decisions in the United States," Journal of Risk and Uncertainty, Springer, vol. 42(3), pages 211-232, June.
  6. Thibault Gajdos & Takashi Hayashi & Jean-Marc Tallon & Jean-Christophe Vergnaud, 2006. "Attitude toward imprecise information," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00130179, HAL.
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  9. Thibault Gajdos & Jean-Marc Tallon & Jean-Christophe Vergnaud, 8/07. "Representation and aggregation of preferences under uncertainty," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00266049, HAL.
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  12. Itzhak Gilboa & David Schmeidler, 1989. "Maxmin Expected Utility with Non-Unique Prior," Post-Print hal-00753237, HAL.
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  14. Laure Cabantous, 2007. "Ambiguity Aversion in the Field of Insurance: Insurers’ Attitude to Imprecise and Conflicting Probability Estimates," Theory and Decision, Springer, vol. 62(3), pages 219-240, May.
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