IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0111378.html
   My bibliography  Save this article

Hyperbolic Discounting: Value and Time Processes of Substance Abusers and Non-Clinical Individuals in Intertemporal Choice

Author

Listed:
  • Jiuqing Cheng
  • Claudia González-Vallejo

Abstract

The single parameter hyperbolic model has been frequently used to describe value discounting as a function of time and to differentiate substance abusers and non-clinical participants with the model's parameter k. However, k says little about the mechanisms underlying the observed differences. The present study evaluates several alternative models with the purpose of identifying whether group differences stem from differences in subjective valuation, and/or time perceptions. Using three two-parameter models, plus secondary data analyses of 14 studies with 471 indifference point curves, results demonstrated that adding a valuation, or a time perception function led to better model fits. However, the gain in fit due to the flexibility granted by a second parameter did not always lead to a better understanding of the data patterns and corresponding psychological processes. The k parameter consistently indexed group and context (magnitude) differences; it is thus a mixed measure of person and task level effects. This was similar for a parameter meant to index payoff devaluation. A time perception parameter, on the other hand, fluctuated with contexts in a non-predicted fashion and the interpretation of its values was inconsistent with prior findings that supported enlarged perceived delays for substance abusers compared to controls. Overall, the results provide mixed support for hyperbolic models of intertemporal choice in terms of the psychological meaning afforded by their parameters.

Suggested Citation

  • Jiuqing Cheng & Claudia González-Vallejo, 2014. "Hyperbolic Discounting: Value and Time Processes of Substance Abusers and Non-Clinical Individuals in Intertemporal Choice," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-18, November.
  • Handle: RePEc:plo:pone00:0111378
    DOI: 10.1371/journal.pone.0111378
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0111378
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0111378&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0111378?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
    ---><---

    References listed on IDEAS

    as
    1. Christopher Chabris & David Laibson & Carrie Morris & Jonathon Schuldt & Dmitry Taubinsky, 2008. "Individual laboratory-measured discount rates predict field behavior," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 237-269, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Potters, Jan & Stoop, Jan, 2016. "Do cheaters in the lab also cheat in the field?," European Economic Review, Elsevier, vol. 87(C), pages 26-33.
    2. repec:cup:judgdm:v:16:y:2021:i:3:p:709-728 is not listed on IDEAS
    3. Kimmich, Christian & Fischbacher, Urs, 2016. "Behavioral determinants of supply chain integration and coexistence," Journal of Forest Economics, Elsevier, vol. 25(C), pages 55-77.
    4. Jensen, Robert & Lleras-Muney, Adriana, 2012. "Does staying in school (and not working) prevent teen smoking and drinking?," Journal of Health Economics, Elsevier, vol. 31(4), pages 644-657.
    5. Marieka M. Klawitter & C. Leigh Anderson & Mary Kay Gugerty, 2013. "Savings And Personal Discount Rates In A Matched Savings Program For Low-Income Families," Contemporary Economic Policy, Western Economic Association International, vol. 31(3), pages 468-485, July.
    6. Fischbacher, Urs & Schudy, Simeon & Teyssier, Sabrina, 2021. "Heterogeneous preferences and investments in energy saving measures," Resource and Energy Economics, Elsevier, vol. 63(C).
    7. Teh, Louise S.L. & Teh, Lydia C.L. & Rashid Sumaila, U., 2014. "Time preference of small-scale fishers in open access and traditionally managed reef fisheries," Marine Policy, Elsevier, vol. 44(C), pages 222-231.
    8. Meier, Stephan & Sprenger, Charles D., 2013. "Discounting financial literacy: Time preferences and participation in financial education programs," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 159-174.
    9. 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.
    10. Kang, Myong-Il & Ikeda, Shinsuke, 2016. "Time discounting, present biases, and health-related behaviors: Evidence from Japan," Economics & Human Biology, Elsevier, vol. 21(C), pages 122-136.
    11. Breitkopf, Laura & Chowdhury, Shyamal K. & Priyam, Shambhavi & Schildberg-Hörisch, Hannah & Sutter, Matthias, 2020. "Do economic preferences of children predict behavior?," DICE Discussion Papers 342, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    12. Brenøe, Anne Ardila & Epper, Thomas, 2022. "Parenting values and the intergenerational transmission of time preferences," European Economic Review, Elsevier, vol. 148(C).
    13. Wölbert, E.M. & Riedl, A.M., 2013. "Measuring time and risk preferences: Reliability, stability, domain specificity," Research Memorandum 041, Maastricht University, Graduate School of Business and Economics (GSBE).
    14. Guin, Benjamin, 2017. "Culture and household saving," Working Paper Series 2069, European Central Bank.
    15. Armin Falk & Anke Becker & Thomas Dohmen & Benjamin Enke & David Huffman & Uwe Sunde, 2018. "Global Evidence on Economic Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(4), pages 1645-1692.
    16. Armin Falk & Fabian Kosse & Pia Pinger & Hannah Schildberg-Hörisch & Thomas Deckers, 2021. "Socioeconomic Status and Inequalities in Children’s IQ and Economic Preferences," Journal of Political Economy, University of Chicago Press, vol. 129(9), pages 2504-2545.
    17. Wang, Mei & Rieger, Marc Oliver & Hens, Thorsten, 2016. "How time preferences differ: Evidence from 53 countries," Journal of Economic Psychology, Elsevier, vol. 52(C), pages 115-135.
    18. Laura Breitkopf & Shyamal Chowdhury & Shambhavi Priyam & Hannah Schildberg-Hörisch & Matthias Sutter, 2024. "Do economic preferences of children predict behavior?," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2024_09, Max Planck Institute for Research on Collective Goods.
    19. James Andreoni & Charles Sprenger, 2012. "Estimating Time Preferences from Convex Budgets," American Economic Review, American Economic Association, vol. 102(7), pages 3333-3356, December.
    20. Non, Arjan & Tempelaar, Dirk, 2016. "Time preferences, study effort, and academic performance," Economics of Education Review, Elsevier, vol. 54(C), pages 36-61.
    21. Detlefsen, Lena & Friedl, Andreas & Lima de Miranda, Katharina & Schmidt, Ulrich & Sutter, Matthias, 2018. "Are Economic Preferences Shaped by the Family Context? The Impact of Birth Order and Siblings' Sex Composition on Economic Preferences," IZA Discussion Papers 11949, Institute of Labor Economics (IZA).

    More about this item

    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:plo:pone00:0111378. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.