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Beliefs and Dynamic Consistency

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  • Jean-Marc Tallon

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Jean-Christophe Vergnaud

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this chapter, we adopt the decision theoretic approach to the representation and updating of beliefs. We take up this issue and propose a reconsideration of Hammond's argument. After reviewing the argument more formally, we propose a weaker notion of dynamic consistency. We observe that this notion does not imply the full fledged sure thing principle thus leaving some room for models that are not based on expected utility maximization. However, these models still do not account for ''imprecision averse" behavior such as the one exhibited in Ellsberg experiment and that is captured by non-Bayesian models such as the multiple prior model. We therefore go on with the argument and establish that such non-Bayesian models possess the weak form of dynamic consistency when the information considered consists of a reduction in imprecision (in the Ellsberg example, some information about the proportion of Black and Yellow balls)

Suggested Citation

  • Jean-Marc Tallon & Jean-Christophe Vergnaud, 2006. "Beliefs and Dynamic Consistency," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00306458, HAL.
    • Handle: RePEc:hal:cesptp:hal-00306458
    Note: View the original document on HAL open archive server: https://hal.science/hal-00306458
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    1. Jean-Marc Tallon, 2014. "Décision dans le risque et l'incertain," PSE-Ecole d'économie de Paris (Postprint) halshs-01026078, HAL.
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    2. Butler Richard & Lambson Val, 2018. "The Simplest Non-Expected Utility Model for Lottery and Portfolio Choices," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 12(1), pages 1-36, January.

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    R. Arena and A. Festré;

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