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Decision under normative uncertainty

Author

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  • Franz Dietrich

    (CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

  • Brian Jabarian

Abstract

While ordinary decision theory focuses on empirical uncertainty, real decision-makers also face normative uncertainty: uncertainty about value itself. From a purely formal perspective, normative uncertainty is comparable to (Harsanyian or Rawlsian) identity uncertainty in the 'original position', where one's future values are unknown. A comprehensive decision theory must address twofold uncertainty — normative and empirical. We present a simple model of twofold uncertainty, and show that the most popular decision principle — maximising expected value ( 'Expectationalism') — has different formulations, namely Ex-Ante Expectationalism, Ex-Post Expectationalism, and hybrid theories. These alternative theories recommend different decisions, reasoning modes, and attitudes to risk. But they converge under an interesting (necessary and sufficient) condition.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Franz Dietrich & Brian Jabarian, 2022. "Decision under normative uncertainty," Post-Print halshs-03890737, HAL.
  • Handle: RePEc:hal:journl:halshs-03890737
    DOI: 10.1017/S0266267121000201
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    Cited by:

    1. Zou, Wenbo & Gao, Wenzheng, 2023. "Measuring the welfare and spillover effects of rank information," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 187-220.
    2. Cecchini, Mathilde, 2024. "Into the Unknown - Conceptualizing Citizens' Experiences of Uncertainty in Citizen-state Interactions," OSF Preprints 96pjt, Center for Open Science.

    More about this item

    JEL classification:

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

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