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Axiomatization of stochastic models for choice under uncertainty

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  • Dagsvik, John K.

Abstract

This paper develops a theory of probabilistic models for risky choices. This theory can be viewed as an extension of the expected utility theory. One probabilistic version of the Archimedean Axiom and two versions of the Independence Axiom are proposed. In addition, additional axioms are proposed of which one is Luce's Independence from Irrelevant Alternatives (IIA). It is demonstrated that different combinations of the axioms yield different characterizations of the probabilities for choosing the respective risky prospects. Particular dimensional invariance axioms are postulated for the case with monetary rewards. It is demonstrated that when probabilistic versions of the Archimedean and the Independence Axioms are combined with Dimensional Invariance axioms explicit functional forms of the utility function follow. It is also proved that a random utility representation exists in the particular case when IIA holds for choice among lotteries. An interesting feature of the models developed is that they allow for violations of the expected utility theory known as the common consequence effect and the common ratio effect.

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  • Dagsvik, John K., 2008. "Axiomatization of stochastic models for choice under uncertainty," Mathematical Social Sciences, Elsevier, vol. 55(3), pages 341-370, May.
  • Handle: RePEc:eee:matsoc:v:55:y:2008:i:3:p:341-370
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    Cited by:

    1. Dagsvik, John K., 2015. "Stochastic models for risky choices: A comparison of different axiomatizations," Journal of Mathematical Economics, Elsevier, vol. 60(C), pages 81-88.
    2. Matthew Ryan, 2017. "Random Binary Choices that Satisfy Stochastic Betweenness," Working Papers 2017-01, Auckland University of Technology, Department of Economics.
    3. Godager, Geir & Hennig-Schmidt, Heike & Li, Jing Jing & Wang, Jian & Yang, Fan, 2021. "Does gender affect medical decisions? Results from a behavioral experiment with physicians and medical students," HERO Online Working Paper Series 2021:1, University of Oslo, Health Economics Research Programme.
    4. Matthew Ryan, 2018. "Stochastic Expected Utility for Binary Choice: New Representations," Working Papers 2018-06, Auckland University of Technology, Department of Economics.
    5. Matthew Ryan, 2015. "Binary Choice Probabilities on Mixture Sets," Working Papers 2015-01, Auckland University of Technology, Department of Economics.
    6. Ryan, Matthew, 2017. "Random binary choices that satisfy stochastic betweenness," Journal of Mathematical Economics, Elsevier, vol. 70(C), pages 176-184.
    7. Blavatskyy, Pavlo, 2018. "Fechner’s strong utility model for choice among n>2 alternatives: Risky lotteries, Savage acts, and intertemporal payoffs," Journal of Mathematical Economics, Elsevier, vol. 79(C), pages 75-82.
    8. Matthew Ryan, 2018. "Uncertainty and binary stochastic choice," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(3), pages 629-662, May.
    9. Matthew Ryan, 2021. "Stochastic expected utility for binary choice: a ‘modular’ axiomatic foundation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 72(2), pages 641-669, September.
    10. Dagsvik, John K., 2018. "Invariance axioms and functional form restrictions in structural models," Mathematical Social Sciences, Elsevier, vol. 91(C), pages 85-95.
    11. Wang, Jian & Iversen, Tor & Hennig-Schmidt, Heike & Godager, Geir, 2020. "Are patient-regarding preferences stable? Evidence from a laboratory experiment with physicians and medical students from different countries," European Economic Review, Elsevier, vol. 125(C).
    12. Matthew Ryan, 2015. "A Strict Stochastic Utility Theorem," Economics Bulletin, AccessEcon, vol. 35(4), pages 2664-2672.
    13. Blavatskyy, Pavlo, 2019. "Future plans and errors," Mathematical Social Sciences, Elsevier, vol. 102(C), pages 85-92.
    14. Ge, Ge & Godager, Geir, 2021. "Predicting strategic medical choices: An application of a quantal response equilibrium choice model," Journal of choice modelling, Elsevier, vol. 39(C).
    15. Dagsvik, John K, 2017. "Invariance Axioms and Functional Form Restrictions in Structural Models," Memorandum 08/2017, Oslo University, Department of Economics.
    16. John Dagsvik & Stine Røine Hoff, 2011. "Justification of functional form assumptions in structural models: applications and testing of qualitative measurement axioms," Theory and Decision, Springer, vol. 70(2), pages 215-254, February.
    17. Cadogan, Godfrey, 2010. "Asymptotic Theory Of Stochastic Choice Functionals For Prospects With Embedded Comotonic Probability Measures," MPRA Paper 22380, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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