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On the Robustness of Higher Order Risk Preferences

Author

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  • Cary Deck

    (University of Arkansas and Economic Science Institute, Chapman University,)

  • Harris Schlesinger

    (University of Alabama)

Abstract

Economists have begun to recognize the role that higher order risk preferences play in a variety of settings. As such, several experiments have documented the degree of prudence, temperance, and to a lesser extent, edginess and bentness that laboratory subjects exhibit. More recently, researchers have argued that higher order risk preferences generally conform to mixed risk averse and mixed risk loving patterns that arise from a preference for disaggregating or aggregating harms, respectively. This paper examines the robustness of this pattern in three ways. First, it attempts to directly replicate previous results with compound lotteries over monetary outcomes. Second, it compares behavior in compound lotteries with behavior in reduced form lotteries. And third, it evaluates choices over monetary and non-monetary risks. While previous results are replicated for compound lotteries over monetary outcomes and aggregate behavior with reduced form lotteries has a similar pattern, individuals clearly treat compound and reduced form lotteries differently. Further, behavior differs between monetary and non-monetary outcomes.

Suggested Citation

  • Cary Deck & Harris Schlesinger, 2016. "On the Robustness of Higher Order Risk Preferences," Working Papers 16-26, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:16-26
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    References listed on IDEAS

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    Cited by:

    1. Timo Heinrich & Thomas Mayrhofer, 2018. "Higher-order risk preferences in social settings," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 434-456, June.
    2. Douadia Bougherara & Lana Friesen & Céline Nauges, 2021. "Risk Taking with Left- and Right-Skewed Lotteries," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 89-112, February.
    3. Attema, Arthur E. & l’Haridon, Olivier & van de Kuilen, Gijs, 2019. "Measuring multivariate risk preferences in the health domain," Journal of Health Economics, Elsevier, vol. 64(C), pages 15-24.
    4. Konstantinos Georgalos & Ivan Paya & David Peel, 2023. "Higher order risk attitudes: new model insights and heterogeneity of preferences," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 145-192, March.
    5. Thomas Mayrhofer & Hendrik Schmitz, 2020. "Prudence and prevention - Empirical evidence," Working Papers CIE 134, Paderborn University, CIE Center for International Economics.
    6. Timo Heinrich & Jason Shachat, 2020. "The development of risk aversion and prudence in Chinese children and adolescents," Journal of Risk and Uncertainty, Springer, vol. 61(3), pages 263-287, December.
    7. Haering, Alexander, 2021. "Framing decisions in experiments on higher-order risk preferences," Ruhr Economic Papers 913, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Georgalos, Konstantinos & Paya, Ivan & Peel, David, 2024. "The Kőszegi–Rabin expectations-based model and risk-apportionment tasks for elicitation of higher order risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 749-770.
    9. Colasante, Annarita & Riccetti, Luca, 2020. "Risk aversion, prudence and temperance: It is a matter of gap between moments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    10. Loubergé, Henri & Malevergne, Yannick & Rey, Béatrice, 2020. "New Results for additive and multiplicative risk apportionment," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 140-151.
    11. Irene Mussio & Maximiliano Sosa Andrés & Abdul H Kidwai, 2023. "Higher order risk attitudes in the time of COVID-19: an experimental study," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 163-182.
    12. Colasante, Annarita & García-Segarra, Jaume & Riccetti, Luca & Russo, Alberto, 2022. "On the consistency of the individual behavior when facing higher-order risk attitudes," Finance Research Letters, Elsevier, vol. 50(C).
    13. Trautmann, Stefan T. & Kuilen, Gijs van de, 2018. "Higher order risk attitudes: A review of experimental evidence," European Economic Review, Elsevier, vol. 103(C), pages 108-124.
    14. Timo R. Lambregts & Paul Bruggen & Han Bleichrodt, 2021. "Insurance decisions under nonperformance risk and ambiguity," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 229-253, December.
    15. Sebastian Ebert, 2021. "Prudent Discounting: Experimental Evidence On Higher Order Time Risk Preferences," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(4), pages 1489-1511, November.
    16. Gollier, Christian, 2018. "Stochastic volatility implies fourth-degree risk dominance: Applications to asset pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 155-171.
    17. Colasante, Annarita & Riccetti, Luca, 2021. "Financial and non-financial risk attitudes: What does it matter?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).

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    More about this item

    Keywords

    Risk apportionment; mixed risk aversion; prudence; temperance; edginess; experiments;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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