IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v11y2016icp1-8.html

Recent developments in the experimental elicitation of time preference

Author

Listed:
  • Cheung, Stephen L.

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

  • Cheung, Stephen L., 2016. "Recent developments in the experimental elicitation of time preference," Journal of Behavioral and Experimental Finance, Elsevier, vol. 11(C), pages 1-8.
    • Handle: RePEc:eee:beexfi:v:11:y:2016:i:c:p:1-8
    DOI: 10.1016/j.jbef.2016.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635016300156
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2016.04.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Faralla, Valeria & Innocenti, Alessandro & Baraldi, Stefano & Ermini, Sara & Lusuardi, Luca & Masini, Maurizio & Santalucia, Vincenzo & Scaruffi, Diletta & Sirizzotti, Matteo, 2024. "Exposure to immersive virtual environments decreases present bias," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    2. Kuroishi, Yusuke & Sawada, Yasuyuki, 2024. "On the stability of preferences: Experimental evidence from two disasters," European Economic Review, Elsevier, vol. 161(C).
    3. 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.
    4. Cheung, Stephen L. & Tymula, Agnieszka & Wang, Xueting, 2021. "Quasi-Hyperbolic Present Bias: A Meta-Analysis," IZA Discussion Papers 14625, Institute of Labor Economics (IZA).
    5. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    6. 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.
    7. 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).
    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. 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.
    10. Sommervoll, Dag Einar & Holden, Stein T., 2024. "Dominated choices in Risk and Time Elicitation," CLTS Working Papers 1/24, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    11. 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.
    12. Denis Fougère & Arthur Heim, 2019. "L'évaluation socioéconomique de l'investissement social," Sciences Po Economics Publications (main) hal-03456048, HAL.
    13. Stein T. Holden & Dag Einar Sommervoll & Mesfin Tilahun, 2022. "Mental Zooming as Variable Asset Integration in Inter-Temporal Choice," International Journal of Applied Behavioral Economics (IJABE), IGI Global Scientific Publishing, vol. 11(1), pages 1-21, January.
    14. Mao, Hui & Zhou, Li & Ying, RuiYao & Pan, Dan, 2021. "Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China," Land Use Policy, Elsevier, vol. 109(C).
    15. Inukai, Keigo & Shimodaira, Yuta & Shiozawa, Kohei, 2024. "Investigation of the convex time budget experiment by parameter recovery simulation," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    16. 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.
    17. Stephen L. Cheung, 2020. "Eliciting utility curvature in time preference," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 493-525, June.
    18. Holden, Stein T. & Tilahun, Mesfin & Sommervoll, Dag Einar, 2022. "Is diminishing impatience in time-dated risky prospects explained by probability weighting?," CLTS Working Papers 3/22, Norwegian University of Life Sciences, Centre for Land Tenure Studies.
    19. repec:spo:wpmain:info:hdl:2441/5lge9h8e809258uvvpjn34ekm4 is not listed on IDEAS

    More about this item

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:beexfi:v:11:y:2016:i:c:p:1-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.