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Revealed preferences over risk and uncertainty

Author

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  • Matthew Polisson

    (University of St Andrews)

  • John K.-H. Quah

    (Johns Hopkins University)

  • Ludovic Renou

    (Queen Mary University of London)

Abstract

We develop a nonparametric procedure, called the lattice method, for testing the consistency of contingent consumption data with a broad class of models of choice under risk and under uncertainty. Our method allows for risk loving and elation seeking behaviour and can be used to calculate, via Afriat’s efficiency index, the magnitude of violations from a particular model of choice. We evaluate the performance of different models (including expected utility, disappointment aversion, rank dependent utility, mean-variance utility, and stochastically monotone utility) in the data collected by Choi et al. (2007), in terms of pass rates, power, and predictive success.

Suggested Citation

  • Matthew Polisson & John K.-H. Quah & Ludovic Renou, 2017. "Revealed preferences over risk and uncertainty," Working Papers 822, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:822
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    References listed on IDEAS

    as
    1. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    2. Selten, Reinhard, 1991. "Properties of a measure of predictive success," Mathematical Social Sciences, Elsevier, vol. 21(2), pages 153-167, April.
    3. Hiroki Nishimura & Efe A. Ok & John K.-H. Quah, 2017. "A Comprehensive Approach to Revealed Preference Theory," American Economic Review, American Economic Association, vol. 107(4), pages 1239-1263, April.
    4. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    5. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
    6. Varian, Hal R, 1988. "Estimating Risk Aversion from Arrow-Debreu Portfolio Choice," Econometrica, Econometric Society, vol. 56(4), pages 973-979, July.
    7. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
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    Citations

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    Cited by:

    1. Marco Castillo & David L. Dickinson & Ragan Petrie, 2017. "Sleepiness, choice consistency, and risk preferences," Theory and Decision, Springer, vol. 82(1), pages 41-73, January.
    2. Aluma Dembo & Shachar Kariv & Matthew Polisson & John K.-H. Quah, 2021. "Ever Since Allais," Bristol Economics Discussion Papers 21/745, School of Economics, University of Bristol, UK.
    3. Polisson, Matthew & Renou, Ludovic, 2016. "Afriat’s Theorem and Samuelson’s ‘Eternal Darkness’," Journal of Mathematical Economics, Elsevier, vol. 65(C), pages 36-40.
    4. Geoffroy de Clippel & Kareen Rozen, 2020. "Relaxed Optimization: e-Rationalizability and the FOC-Departure Index in Consumer Theory," Working Papers 2020-07, Brown University, Department of Economics.
    5. Federico Echenique & Taisuke Imai & Kota Saito, 2018. "Approximate Expected Utility Rationalization," CESifo Working Paper Series 7348, CESifo.
    6. Cesar Martinelli & Mikhail Freer, 2016. "General Revealed Preferences," Working Papers 1059, George Mason University, Interdisciplinary Center for Economic Science, revised Jun 2016.
    7. Mikhail Freer & Cesar Martinelli, 2018. "A Functional Approach to Revealed Preference," Working Papers 1070, George Mason University, Interdisciplinary Center for Economic Science.
    8. Federico Echenique, 2020. "New Developments in Revealed Preference Theory: Decisions Under Risk, Uncertainty, and Intertemporal Choice," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 299-316, August.
    9. Anastasia Burkovskaya, 2022. "A model of state aggregation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 73(1), pages 121-149, February.
    10. Lanier, Joshua & Miao, Bin & Quah, John & Zhong, Songfa, 2018. "Intertemporal Consumption with Risk: A Revealed Preference Analysis," MPRA Paper 101407, University Library of Munich, Germany.
    11. Olivier L'Haridon & Craig S. Webb & Horst Zank, 2021. "An Effective and Simple Tool for Measuring Loss Aversion," Economics Discussion Paper Series 2107, Economics, The University of Manchester.
    12. Leandro Carvalho & Arna Olafsson & Dan Silverman, 2019. "Misfortune and Mistake: The Financial Conditions and Decision-making Ability of High-cost Loan Borrowers," NBER Working Papers 26328, National Bureau of Economic Research, Inc.
    13. Demuynck, Thomas & Hjertstrand, Per, 2019. "Samuelson's Approach to Revealed Preference Theory: Some Recent Advances," Working Paper Series 1274, Research Institute of Industrial Economics.
    14. Mikhail Freer & Cesar Martinelli, 2020. "An Algebraic Approach to Revealed Preference," Working Papers 1078, George Mason University, Interdisciplinary Center for Economic Science.
    15. Stefania Minardi & Andrei Savochkin, 2017. "Characterizations of Smooth Ambiguity Based on Continuous and Discrete Data," Mathematics of Operations Research, INFORMS, vol. 42(1), pages 167-178, January.
    16. Daniel R. Burghart, 2020. "The two faces of independence: betweenness and homotheticity," Theory and Decision, Springer, vol. 88(4), pages 567-593, May.
    17. Mikhail Freer & Cesar Martinelli, 2018. "A Functional Approach to Revealed Preference," Working Papers 1070, George Mason University, Interdisciplinary Center for Economic Science.
    18. Drew Fudenberg & Wayne Gao & Annie Liang, 2020. "How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories," Papers 2007.09213, arXiv.org.
    19. Matthew Polisson, 2018. "A lattice test for additive separability," IFS Working Papers W18/08, Institute for Fiscal Studies.
    20. Thomas Demuynck & Clément Staner, 2020. "An Efficient Revealed Preference Test for the Maxmin Expected Utility Model," Working Papers ECARES 2020-31, ULB -- Universite Libre de Bruxelles.
    21. Michele Garagnani, 2020. "The predictive power of risk elicitation tasks," ECON - Working Papers 362, Department of Economics - University of Zurich.
    22. Pawel Dziewulski, 2021. "A comprehensive revealed preference approach to approximate utility maximisation," Working Paper Series 0621, Department of Economics, University of Sussex Business School.
    23. Laurens Cherchye & Thomas Demuynck & Bram De Rock & Joshua Lanier, 2020. "Are Consumers Rational ?Shifting the Burden of Proof," Working Papers ECARES 2020-19, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    expected utility; rank dependent utility; disappointment aversion; Bronars power; predictive success; generalized axiom of revealed preference; first order stochastic dominance; mean-variance utility; Afriat’s efficiency index;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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