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Ignorance and Uncertainty

Author

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  • Olivier Compte

    (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, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique)

  • Andrew Postlewaite

    (University of Pennsylvania)

Abstract

Born of a belief that economic insights should not require much mathematical sophistication, this book proposes novel and parsimonious methods to incorporate ignorance and uncertainty into economic modeling, without complex mathematics. Economics has made great strides over the past several decades in modeling agents' decisions when they are incompletely informed, but many economists believe that there are aspects of these models that are less than satisfactory. Among the concerns are that ignorance is not captured well in most models, that agents' presumed cognitive ability is implausible, and that derived optimal behavior is sometimes driven by the fine details of the model rather than the underlying economics. Compte and Postlewaite lay out a tractable way to address these concerns, and to incorporate plausible limitations on agents' sophistication. A central aspect of the proposed methodology is to restrict the strategies assumed available to agents.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Olivier Compte & Andrew Postlewaite, 2018. "Ignorance and Uncertainty," Post-Print halshs-02103172, HAL.
    • Handle: RePEc:hal:journl:halshs-02103172
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    Cited by:

    1. Liqui Lung, C. W., 2022. "Optimal Self-Screening and the Persistence of Identity-Driven Choices," Cambridge Working Papers in Economics 2274, Faculty of Economics, University of Cambridge.
    2. Philippe Jehiel, 2022. "Analogy-Based Expectation Equilibrium and Related Concepts:Theory, Applications, and Beyond," Working Papers halshs-03735680, HAL.
    3. Gian Caspari & Manshu Khanna, 2021. "Non-Standard Choice in Matching Markets," Papers 2111.06815, arXiv.org, revised Aug 2024.
    4. Liqui Lung, C. W., 2022. "Optimal Self-Screening and the Persistence of Identity-Driven Choices," Janeway Institute Working Papers 2232, Faculty of Economics, University of Cambridge.
    5. Borges da Silva, Eduardo & Moreno Cordeiro de Sousa, Alexandre, 2022. "Avaliação econômico-financeira de fintechs no mercado brasileiro: o caso INTER [Economic and financial evaluation of fintech in the Brazilian market: the case of INTER]," MPRA Paper 115509, University Library of Munich, Germany.

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