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Dynamic Mixture‐Averse Preferences

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  • Todd Sarver

Abstract

To study intertemporal decisions under risk, we develop a new recursive model of non‐expected‐utility preferences. The main axiom of our analysis is called mixture aversion, as it captures a dislike of probabilistic mixtures of lotteries. Our representation for mixture‐averse preferences can be interpreted as if an individual optimally selects her risk attitude from some feasible set. We describe some useful parametric examples of our representation and provide comparative statics that tightly link decreases in risk aversion to larger sets of feasible risk attitudes. We then present several applications of the model. In an insurance problem, mixture‐averse preferences can produce a marginal willingness to pay for insurance coverage that increases in the level of existing coverage. In investment decisions, our model can generate endogenous heterogeneity in equilibrium stock market participation, even when consumers have identical preferences. Finally, we demonstrate that our model can address the Rabin paradox even in the presence of reasonable levels of background risk.

Suggested Citation

  • Todd Sarver, 2018. "Dynamic Mixture‐Averse Preferences," Econometrica, Econometric Society, vol. 86(4), pages 1347-1382, July.
  • Handle: RePEc:wly:emetrp:v:86:y:2018:i:4:p:1347-1382
    DOI: 10.3982/ECTA12687
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    Cited by:

    1. Lorenzo Maria Stanca, 2023. "Recursive Preferences, Correlation Aversion, and the Temporal Resolution of Uncertainty," Papers 2304.04599, arXiv.org, revised Jul 2023.
    2. Stanca Lorenzo, 2023. "Recursive preferences, correlation aversion, and the temporal resolution of uncertainty," Working papers 080, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    3. Marinacci Massimo & Principi Giulio & Stanca Lorenzo, 2023. "Recursive Preferences and Ambiguity Attitudes," Working papers 082, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    4. Han Bleichrodt & Jason N. Doctor & Yu Gao & Chen Li & Daniella Meeker & Peter P. Wakker, 2019. "Resolving Rabin’s paradox," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 239-260, December.
    5. Ozbek, Kemal, 2023. "Adaptive risk assessments," Journal of Mathematical Economics, Elsevier, vol. 106(C).
    6. Xiaosheng Mu & Luciano Pomatto & Philipp Strack & Omer Tamuz, 2020. "Background risk and small-stakes risk aversion," Papers 2010.08033, arXiv.org, revised Mar 2021.
    7. Dillenberger, David & Raymond, Collin, 2019. "On the consensus effect," Journal of Economic Theory, Elsevier, vol. 183(C), pages 384-416.
    8. Massimo Marinacci & Giulio Principi & Lorenzo Stanca, 2023. "Recursive Preferences and Ambiguity Attitudes," Papers 2304.06830, arXiv.org, revised Aug 2023.

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