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Latent process heterogeneity in discounting behavior

Author

Listed:
  • Maribeth Coller
  • Glenn W. Harrison
  • E. Elisabet Rutström

Abstract

We show that observed choices in discounting experiments are consistent with roughly one-half of the subjects using exponential discounting and one-half using quasi-hyperbolic discounting. We characterize the latent data generating process using a mixture model which allows different subjects to behave consistently with each model. Our results have substantive implications for the assumptions made about discounting behavior, and also have significant methodological implications for the manner in which we evaluate alternative models when there may be complementary data generating processes. Copyright 2012 Oxford University Press 2011 All rights reserved, Oxford University Press.

Suggested Citation

  • Maribeth Coller & Glenn W. Harrison & E. Elisabet Rutström, 2012. "Latent process heterogeneity in discounting behavior," Oxford Economic Papers, Oxford University Press, vol. 64(2), pages 375-391, April.
    • Handle: RePEc:oup:oxecpp:v:64:y:2012:i:2:p:375-391
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    File URL: http://hdl.handle.net/10.1093/oep/gpr019
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    Cited by:

    1. Dziewulski, Paweł, 2018. "Revealed time preference," Games and Economic Behavior, Elsevier, vol. 112(C), pages 67-77.
    2. Liebenehm, S. & Waibel, H., 2014. "Risk and Time Preferences of West African Cattle Farmers," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    3. repec:ubc:pmicro:yoram_halevy-2012-19 is not listed on IDEAS
    4. Giovanni Ponti & Ismael Rodríguez Lara & Daniela Di Cagno, 2014. "Doing it now or later with payoff externalities: Experimental evidence on social time preferences," Working Papers. Serie AD 2014-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Glenn W. Harrison & Andre Hofmeyr & Don Ross & J. Todd Swarthout, 2018. "Risk Preferences, Time Preferences, and Smoking Behavior," Southern Economic Journal, John Wiley & Sons, vol. 85(2), pages 313-348, October.
    6. George Ainslie, 2012. "Pure hyperbolic discount curves predict “eyes open” self-control," Theory and Decision, Springer, vol. 73(1), pages 3-34, July.
    7. 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.
    8. Rodriguez-Lara, Ismael & Ponti, Giovanni, 2017. "Social motives vs social influence: An experiment on interdependent time preferences," Games and Economic Behavior, Elsevier, vol. 105(C), pages 177-194.
    9. OUATTARA, Aboudou & DE LA BRUSLERIE, Hubert, 2015. "The term structure of psychological discount rate: characteristics and functional forms," MPRA Paper 75111, University Library of Munich, Germany.
    10. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten I. & Rutström, E. Elisabet, 2014. "Discounting behavior: A reconsideration," European Economic Review, Elsevier, vol. 71(C), pages 15-33.
    11. Robin Chark & Soo Chew & Songfa Zhong, 2015. "Extended present bias: a direct experimental test," Theory and Decision, Springer, vol. 79(1), pages 151-165, July.
    12. Ubfal, Diego, 2016. "How general are time preferences? Eliciting good-specific discount rates," Journal of Development Economics, Elsevier, vol. 118(C), pages 150-170.
    13. Drichoutis, Andreas & Nayga, Rodolfo, 2013. "A reconciliation of time preference elicitation methods," MPRA Paper 46916, University Library of Munich, Germany, revised 12 May 2013.
    14. Liebenehm, Sabine & Waibel, Hermann, 2013. "Risk and Time Preferences of West African Cattle Farmers," 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 156110, German Association of Agricultural Economists (GEWISOLA).

    More about this item

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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