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Eliciting ambiguity aversion in unknown and in compound lotteries: a smooth ambiguity model experimental study

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  • Giuseppe Attanasi

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  • Christian Gollier
  • Aldo Montesano
  • Noemi Pace

Abstract

Coherent-ambiguity aversion is defined within the (Klibanoff et al., Econometrica 73:1849–1892, 2005 ) smooth-ambiguity model (henceforth KMM) as the combination of choice-ambiguity and value-ambiguity aversion. Five ambiguous decision tasks are analyzed theoretically, where an individual faces two-stage lotteries with binomial, uniform, or unknown second-order probabilities. Theoretical predictions are then tested through a 10-task experiment. In (unambiguous) tasks 1–5, risk aversion is elicited through both a portfolio choice method and a BDM mechanism. In (ambiguous) tasks 6–10, choice-ambiguity aversion is elicited through the portfolio choice method, while value-ambiguity aversion comes about through the BDM mechanism. The behavior of over 75 % of classified subjects is in line with the KMM model in all tasks 6–10, independent of their degree of risk aversion. Furthermore, the percentage of coherent-ambiguity-averse subjects is lower in the binomial than in the uniform and in the unknown treatments, with only the latter difference being significant. The most part of coherent-ambiguity-loving subjects show a high risk aversion. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Giuseppe Attanasi & Christian Gollier & Aldo Montesano & Noemi Pace, 2014. "Eliciting ambiguity aversion in unknown and in compound lotteries: a smooth ambiguity model experimental study," Theory and Decision, Springer, vol. 77(4), pages 485-530, December.
  • Handle: RePEc:kap:theord:v:77:y:2014:i:4:p:485-530
    DOI: 10.1007/s11238-013-9406-z
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Chiaki Hara & Toshiki Honda, 2016. "Mutual Fund Theorem for Ambiguity-Averse Investors and the Optimality of the Market Portfolio," KIER Working Papers 943, Kyoto University, Institute of Economic Research.
    2. Giuseppe Attanasi & Nikolaos Georgantzís & Valentina Rotondi & Daria Vigani, 2018. "Lottery- and survey-based risk attitudes linked through a multichoice elicitation task," Theory and Decision, Springer, vol. 84(3), pages 341-372, May.
    3. Prokosheva, Sasha, 2016. "Comparing decisions under compound risk and ambiguity: The importance of cognitive skills," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 94-105.
    4. Takao Asano & Hiroko Okudaira & Masaru Sasaki, 2015. "An experimental test of a search model under ambiguity," Theory and Decision, Springer, vol. 79(4), pages 627-637, December.
    5. Polemarchakis, Herakles & Selden, Larry & Song, Xinxi, 2017. "The identification of attitudes towards ambiguity and risk from asset demand," CRETA Online Discussion Paper Series 28, Centre for Research in Economic Theory and its Applications CRETA.
    6. L. A. Franzoni, 2016. "Optimal liability design under risk and ambiguity," Working Papers wp1048, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Nicolas Lampach & Kene Boun My & Sandrine Spaeter, 2016. "Risk, Ambiguity and Efficient Liability Rules: An experiment," Working Papers of BETA 2016-30, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Takao Asano & Hiroko Okudaira & Masaru Sasaki, 2015. "An Experimental Test of a Search Model under Ambiguity," KIER Working Papers 913, Kyoto University, Institute of Economic Research.
    9. Chiara FALCO & Douch KONG & Valentina ROTONDI & Valeria SPELTA, 2016. "Investment, Insurance and Weather Shocks: Evidence from a Lab Experiment in Cambodia," Departmental Working Papers 2016-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    10. Stephen Dimmock & Roy Kouwenberg & Olivia Mitchell & Kim Peijnenburg, 2015. "Estimating ambiguity preferences and perceptions in multiple prior models: Evidence from the field," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 219-244, December.

    More about this item

    Keywords

    Coherent-ambiguity aversion; Value-ambiguity aversion ; Choice-ambiguity aversion; Smooth ambiguity model; Binomial distribution; Uniform distribution; Unknown urn; D81; D83; C91;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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