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Heterogeneous risk and time preferences

Author

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  • Alina Ferecatu

    (Erasmus University)

  • Ayse Önçüler

    (ESSEC Business School)

Abstract

Assessing individuals’ time and risk preferences is crucial in domains such as health-related decisions (e.g., dieting, addictions), environmentally-friendly practices, and saving opportunities. We propose a new method to jointly elicit and estimate risk attitudes and intertemporal choices. We use a novel individual level estimation procedure based on a hierarchical Bayes methodology, which can integrate different functional forms for discounting and risk attitudes. This method provides individual level estimates, and allows us to explore the heterogeneity in the data. In addition, we report a negative correlation between risk and time preferences, implying that risk-seeking individuals are less patient and less willing to defer consumption.

Suggested Citation

  • Alina Ferecatu & Ayse Önçüler, 2016. "Heterogeneous risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 1-28, August.
    • Handle: RePEc:kap:jrisku:v:53:y:2016:i:1:d:10.1007_s11166-016-9243-x
    DOI: 10.1007/s11166-016-9243-x
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    Cited by:

    1. Konstantinos Georgalos, 2019. "An experimental test of the predictive power of dynamic ambiguity models," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 51-83, August.
    2. repec:cup:judgdm:v:14:y:2019:i:5:p:591-604 is not listed on IDEAS
    3. Dániel Horn & Hubert János Kiss, 2020. "Time preferences and their life outcome correlates: Evidence from a representative survey," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    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. Konstantinos Georgalos & Nathan Nabil, 2023. "Heuristics Unveiled," Working Papers 400814162, Lancaster University Management School, Economics Department.
    6. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    7. Christos A. Ioannou & Jana Sadeh, 2016. "Time preferences and risk aversion: Tests on domain differences," Journal of Risk and Uncertainty, Springer, vol. 53(1), pages 29-54, August.
    8. Stefan A. Lipman & Arthur E. Attema, 2024. "A systematic review of unique methods for measuring discount rates," Journal of Risk and Uncertainty, Springer, vol. 69(2), pages 145-189, October.
    9. Muhammad Sajid & Matthew C. Li, 2019. "The role of cognitive reflection in decision making: Evidence from Pakistani managers," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(5), pages 591-604, September.
    10. W. David Bradford & Paul Dolan & Matteo M. Galizzi, 2019. "Looking ahead: Subjective time perception and individual discounting," Journal of Risk and Uncertainty, Springer, vol. 58(1), pages 43-69, February.
    11. Burro, Giovanni & McDonald, Rebecca & Read, Daniel & Taj, Umar, 2022. "Patience decreases with age for the poor but not for the rich: an international comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 596-621.
    12. Lloyd-Smith, Patrick & Adamowicz, Wiktor & Entem, Alicia & Fenichel, Eli P. & Rouhi Rad, Mani, 2021. "The decade after tomorrow: Estimation of discount rates from realistic temporal decisions over long time horizons," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 158-174.
    13. Alam, Jessica & Georgalos, Konstantinos & Rolls, Harrison, 2022. "Risk preferences, gender effects and Bayesian econometrics," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 168-183.
    14. Negrea, Bogdan & Toma, Mihai, 2017. "Dynamic CAPM under ambiguity—An experimental approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 16(C), pages 22-32.
    15. Yang Wang & Frank A. Sloan, 2018. "Present bias and health," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 177-198, October.
    16. David Scrogin, 2023. "Estimating risk and time preferences over public lotteries: Findings from the field and stream," Journal of Risk and Uncertainty, Springer, vol. 67(1), pages 73-106, August.
    17. W. David Bradford & Meriem Hodge Doucette, 2023. "Effect of a brief intervention on respondents’ subjective perception of time and discount rates," Journal of Risk and Uncertainty, Springer, vol. 66(1), pages 47-75, February.
    18. James R. Bland & Yaroslav Rosokha, 2021. "Learning under uncertainty with multiple priors: experimental investigation," Journal of Risk and Uncertainty, Springer, vol. 62(2), pages 157-176, April.
    19. Konstantinos Georgalos & Nathan Nabil, 2023. "Testing Models of Complexity Aversion," Working Papers 400814269, Lancaster University Management School, Economics Department.

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