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Recent developments in the experimental elicitation of time preference

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  • Stephen L. Cheung

Abstract

This methodological survey reviews recent developments in the design of experiments to elicit individuals' time preferences, with a focus on the measurement or control for potentially non-linear utility. While the objective of a time preference experiment is usually to estimate parameters of a discount function, assumptions concerning the nature of utility may have an important influence upon these estimates. The survey classifies experiment designs on two dimensions: whether they assume an equivalence between utility under risk and over time, and whether they result in an estimate of the curvature of utility.

Suggested Citation

  • Stephen L. Cheung, 2015. "Recent developments in the experimental elicitation of time preference," QuBE Working Papers 034, QUT Business School.
  • Handle: RePEc:qut:qubewp:wp034
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    Cited by:

    1. 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.
    2. Jindrich Matousek, 2018. "Individual Discount Rates: A Meta-Analysis of the Experimental Evidence," Working Papers IES 2018/40, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2018.
    3. 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.
    4. Rose, Julia & Rose, Michael, 2019. "Ready-made oTree apps for time preference elicitation methods," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 23-28.
    5. Stephen L. Cheung, 2020. "Eliciting utility curvature in time preference," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 493-525, June.
    6. Yusuke Kuroishi & Yasuyuki Sawada, 2019. "On the Stability of Preferences:Experimental Evidence from Two Disasters," CIRJE F-Series CIRJE-F-1130, CIRJE, Faculty of Economics, University of Tokyo.
    7. Felix Koelle & Thomas Lauer, 2018. "Cooperation, Discounting, and the Effects of Delayed Costs and Benefits," Discussion Papers 2018-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    8. Holden, Stein T. & Tilahun, Mesfin & Sommervoll, Dag Einar, 2020. "Magnitude Effects and Utility Curvature in Inter-temporal Choice," CLTS Working Papers 8/20, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    9. Denis Fougere & Arthur Heim, 2019. "L'évaluation socioéconomique de l'investissement social: Comment mettre en oeuvre des analyses coûts-bénéfices pour les politiques d'emploi, de santé et d'éducation," Sciences Po publications info:hdl:2441/5lge9h8e809, Sciences Po.
    10. Boonmanunt, Suparee & Lauer, Thomas & Rockenbach, Bettina & Weiss, Arne, 2020. "Field evidence on the role of time preferences in conservation behavior," Journal of Environmental Economics and Management, Elsevier, vol. 104(C).
    11. Holden, Stein T. & Sommervoll, Dag Einar & Tilahun, Mesfin, 2020. "Mental Zooming as Variable Asset Integration in Inter-temporal Choice," CLTS Working Papers 7/20, Norwegian University of Life Sciences, Centre for Land Tenure Studies.

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    More about this item

    Keywords

    time preference; discounted utility; instantaneous utility; choice list;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General

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