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Inference under stability of risk preferences

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  • Levon Barseghyan
  • Francesca Molinari
  • Joshua C. Teitelbaum

Abstract

We leverage the assumption that preferences are stable across contexts to partially identify and conduct inference on the parameters of a structural model of risky choice. Working with data on households' deductible choices across three lines of insurance coverage and a model that nests expected utility theory plus a range of non‐expected utility models, we perform a revealed preference analysis that yields household‐specific bounds on the model parameters. We then impose stability and other structural assumptions to tighten the bounds, and we explore what we can learn about households' risk preferences from the intervals defined by the bounds. We further utilize the intervals to (i) classify households into preference types and (ii) recover the single parameterization of the model that best fits the data. Our approach does not entail making distributional assumptions about unobserved heterogeneity in preferences.

Suggested Citation

  • Levon Barseghyan & Francesca Molinari & Joshua C. Teitelbaum, 2016. "Inference under stability of risk preferences," Quantitative Economics, Econometric Society, vol. 7(2), pages 367-409, July.
  • Handle: RePEc:wly:quante:v:7:y:2016:i:2:p:367-409
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    Cited by:

    1. Keith Marzilli Ericson & Philipp Kircher & Johannes Spinnewijn & Amanda Starc, 2021. "Inferring Risk Perceptions and Preferences Using Choice from Insurance Menus: Theory and Evidence," The Economic Journal, Royal Economic Society, vol. 131(634), pages 713-744.
    2. Bernard Salanié, 2017. "Equilibrium in Insurance Markets: An Empiricist’s View," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 42(1), pages 1-14, March.
    3. Tinggui Chen & Qianqian Li & Peihua Fu & Jianjun Yang & Chonghuan Xu & Guodong Cong & Gongfa Li, 2020. "Public Opinion Polarization by Individual Revenue from the Social Preference Theory," IJERPH, MDPI, vol. 17(3), pages 1-29, February.
    4. Fezzi, Carlo & Menapace, Luisa & Raffaelli, Roberta, 2021. "Estimating risk preferences integrating insurance choices with subjective beliefs," European Economic Review, Elsevier, vol. 135(C).
    5. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2021. "Discrete Choice under Risk with Limited Consideration," American Economic Review, American Economic Association, vol. 111(6), pages 1972-2006, June.
    6. Undral Byambadalai & Ching-to Albert Ma & Daniel Wiesen, 2019. "Changing Preferences: An Experiment and Estimation of Market-Incentive E§ects on Altruism," Boston University - Department of Economics - Working Papers Series WP2019-11, Boston University - Department of Economics.
    7. Charles F. Manski, 2018. "More on random utility models with bounded ambiguity," Theory and Decision, Springer, vol. 84(2), pages 205-213, March.
    8. Alex Gershkov & Benny Moldovanu & Philipp Strack & Mengxi Zhang, 2023. "Optimal Insurance: Dual Utility, Random Losses and Adverse Selection," ECONtribute Discussion Papers Series 242, University of Bonn and University of Cologne, Germany.

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