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Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses

Author

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  • Nathalie Etchart-Vincent

    (GRID - Groupe de Recherche sur le risque, l'Information et la Décision - ENS Cachan - École normale supérieure - Cachan - CNRS - Centre National de la Recherche Scientifique)

Abstract

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Suggested Citation

  • Nathalie Etchart-Vincent, 2004. "Is Probability Weighting Sensitive to the Magnitude of Consequences? An Experimental Investigation on Losses," Post-Print hal-03819328, HAL.
    • Handle: RePEc:hal:journl:hal-03819328
    DOI: 10.1023/B:RISK.0000026096.48985.a3
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    Cited by:

    1. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    2. Johannes G. Jaspersen & Richard Peter & Marc A. Ragin, 2023. "Probability weighting and insurance demand in a unified framework," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(1), pages 63-109, March.
    3. Géraldine Bocquého & Julien Jacob & Marielle Brunette, 2023. "Prospect theory in multiple price list experiments: further insights on behaviour in the loss domain," Theory and Decision, Springer, vol. 94(4), pages 593-636, May.
    4. Araujo, A. & Gama, J. & Suarez, C.E., 2022. "Lack of prevalence of the endowment effect: An equilibrium analysis," Journal of Mathematical Economics, Elsevier, vol. 102(C).

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