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Eliciting decision weights by adapting de Finetti's betting-odds method to prospect theory

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  • Diecidue, E.

    (Tilburg University, School of Economics and Management)

  • Wakker, P.P.

    (Tilburg University, School of Economics and Management)

  • Zeelenberg, M.

    (Tilburg University, School of Economics and Management)

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  • Diecidue, E. & Wakker, P.P. & Zeelenberg, M., 2007. "Eliciting decision weights by adapting de Finetti's betting-odds method to prospect theory," Other publications TiSEM ac35645a-7772-46fe-ba31-c, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:ac35645a-7772-46fe-ba31-c1e6d97deff7
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    Cited by:

    1. Mohammed Abdellaoui & Han Bleichrodt & Emmanuel Kemel & Olivier l’Haridon, 2021. "Measuring Beliefs Under Ambiguity," Operations Research, INFORMS, vol. 69(2), pages 599-612, March.
    2. Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
    3. Mark J. Machina, 2014. "Ambiguity Aversion with Three or More Outcomes," American Economic Review, American Economic Association, vol. 104(12), pages 3814-3840, December.
    4. Olivier L’Haridon & Lætitia Placido, 2010. "Betting on Machina’s reflection example: an experiment on ambiguity," Theory and Decision, Springer, vol. 69(3), pages 375-393, September.
    5. Amit Kothiyal & Vitalie Spinu & Peter Wakker, 2014. "An experimental test of prospect theory for predicting choice under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 48(1), pages 1-17, February.
    6. Gijs van de Kuilen & Peter P. Wakker, 2011. "The Midweight Method to Measure Attitudes Toward Risk and Ambiguity," Management Science, INFORMS, vol. 57(3), pages 582-598, March.

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    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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