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Décision médicale et probabilités imprécises

Author

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  • Louis Eeckhoudt
  • Meglena Jeleva

Abstract

Usually medical decisions (diagnosis, treatment, prevention etc.) are analyzed under the assumption that the probabilities of various health states or the outcomes from different medical decisions are unique and perfectly known. Preferences are then represented by the expected utility model. In reality however, for most medical decisions, the available information on probabilities is imprecise and can be represented as an interval of values. The purpose of this paper is to illustrate the impact of this type of ambiguity on treatment and prevention decisions. To achieve this goal we use a decision model where preferences depend on one side, on attitude towards ambiguity, represented by a Hurwicz pessimism-optimism and on the other side on attitude towards risk, represented by a standard utility function. Classification JEL : I12, D81

Suggested Citation

  • Louis Eeckhoudt & Meglena Jeleva, 2004. "Décision médicale et probabilités imprécises," Revue économique, Presses de Sciences-Po, vol. 55(5), pages 869-881.
  • Handle: RePEc:cai:recosp:reco_555_0869
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    References listed on IDEAS

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    Cited by:

    1. Berger, Loïc & Bleichrodt, Han & Eeckhoudt, Louis, 2013. "Treatment decisions under ambiguity," Journal of Health Economics, Elsevier, vol. 32(3), pages 559-569.
    2. Hippolyte D'Albis & Emmanuel Thibault, 2012. "Ambiguous Life Expectancy and the Demand for Annuities," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00721281, HAL.
    3. repec:hal:journl:halshs-00721281 is not listed on IDEAS

    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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