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On The Robustness Of Higher Order Risk Preferences

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  • Cary Deck
  • Harris Schlesinger

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 article 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 nonmonetary 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 nonmonetary outcomes.

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  • Cary Deck & Harris Schlesinger, 2018. "On The Robustness Of Higher Order Risk Preferences," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 85(2), pages 313-333, June.
  • Handle: RePEc:bla:jrinsu:v:85:y:2018:i:2:p:313-333
    DOI: 10.1111/jori.12217
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    Cited by:

    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Mayrhofer, Thomas & Schmitz, Hendrik, 2020. "Prudence and prevention: Empirical evidence," Ruhr Economic Papers 863, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    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. 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).
    14. 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.
    15. 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.
    16. 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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    JEL classification:

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

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