Literature DB >> 19150645

A comparison of four models of delay discounting in humans.

Todd L McKerchar1, Leonard Green, Joel Myerson, T Stephen Pickford, Jade C Hill, Steven C Stout.   

Abstract

The present study compared four prominent models of delay discounting: a one-parameter exponential decay, a one-parameter hyperbola [Mazur, J.E., 1987. An adjusting procedure for studying delayed reinforcement. In: Commons, M.L., Mazur, J.E., Nevin, J.A., Rachlin, H. (Eds.), Quantitative Analyses of Behavior: The Effect of Delay and of Intervening Events on Reinforcement Value, vol. 5. Erlbaum, Hillsdale, NJ, pp. 55-73], a two-parameter hyperboloid in which the denominator is raised to a power [Green, L., Myerson, J., 2004. A discounting framework for choice with delayed and probabilistic rewards. Psychol. Bull. 130, 769-792], and a two-parameter hyperbola in which delay is raised to a power [Rachlin, H., 2006. Notes on discounting. J. Exp. Anal. Behav. 85, 425-435]. Sixty-four college undergraduates made choices between hypothetical monetary rewards, one immediate and one delayed, and the fit of the four models to their data was assessed. All four equations accounted for a large proportion of the variance at both the group and the individual levels, but the exponents of both two-parameter models were significantly less than 1.0 at the group level, and frequently so at the individual level. Taken together, these results strongly suggest that more than one parameter is needed to accurately describe delay discounting by humans. Notably, both the Rachlin and the Green and Myerson models accounted for more than 99% of the variance at the group level and for 96% of the variance in the median individual. Because both models provide such good descriptions of the data, model selection will need to be based on other grounds.

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Year:  2008        PMID: 19150645      PMCID: PMC2674118          DOI: 10.1016/j.beproc.2008.12.017

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  18 in total

1.  Amount of reward has opposite effects on the discounting of delayed and probabilistic outcomes.

Authors:  L Green; J Myerson; P Ostaszewski
Journal:  J Exp Psychol Learn Mem Cogn       Date:  1999-03       Impact factor: 3.051

Review 2.  Specious reward: a behavioral theory of impulsiveness and impulse control.

Authors:  G Ainslie
Journal:  Psychol Bull       Date:  1975-07       Impact factor: 17.737

Review 3.  A discounting framework for choice with delayed and probabilistic rewards.

Authors:  Leonard Green; Joel Myerson
Journal:  Psychol Bull       Date:  2004-09       Impact factor: 17.737

4.  Notes on discounting.

Authors:  Howard Rachlin
Journal:  J Exp Anal Behav       Date:  2006-05       Impact factor: 2.468

5.  On two types of deviation from the matching law: bias and undermatching.

Authors:  W M Baum
Journal:  J Exp Anal Behav       Date:  1974-07       Impact factor: 2.468

6.  Discounting of delayed hypothetical money and food: effects of amount.

Authors:  Amy L Odum; Ana A L Baumann; Delores D Rimington
Journal:  Behav Processes       Date:  2006-07-08       Impact factor: 1.777

7.  Do adjusting-amount and adjusting-delay procedures produce equivalent estimates of subjective value in pigeons?

Authors:  Leonard Green; Joel Myerson; Anuj K Shah; Sara J Estle; Daniel D Holt
Journal:  J Exp Anal Behav       Date:  2007-05       Impact factor: 2.468

8.  A note on functional relations obtained from group data.

Authors:  M SIDMAN
Journal:  Psychol Bull       Date:  1952-05       Impact factor: 17.737

9.  Impact of strain and D-amphetamine on impulsivity (delay discounting) in inbred mice.

Authors:  Christa M Helms; Jamie M Reeves; Suzanne H Mitchell
Journal:  Psychopharmacology (Berl)       Date:  2006-08-17       Impact factor: 4.530

10.  Adjusting delay to reinforcement: comparing choice in pigeons and humans.

Authors:  M L Rodriguez; A W Logue
Journal:  J Exp Psychol Anim Behav Process       Date:  1988-01
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  38 in total

1.  Delay discounting: I'm a k, you're a k.

Authors:  Amy L Odum
Journal:  J Exp Anal Behav       Date:  2011-11       Impact factor: 2.468

2.  A fruit in hand is worth many more in the bush: steep spatial discounting by free-ranging rhesus macaques (Macaca mulatta).

Authors:  Jerald D Kralik; William W L Sampson
Journal:  Behav Processes       Date:  2011-10-14       Impact factor: 1.777

3.  Therapeutic Opportunities for Self-Control Repair in Addiction and Related Disorders: Change and the Limits of Change in Trans-Disease Processes.

Authors:  Warren K Bickel; Amanda J Quisenberry; Lara Moody; A George Wilson
Journal:  Clin Psychol Sci       Date:  2015-01-01

4.  Hyperbolic discounting of delayed social interaction.

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Journal:  Learn Behav       Date:  2013-06       Impact factor: 1.986

5.  A tutorial on the use of Excel 2010 and Excel for Mac 2011 for conducting delay-discounting analyses.

Authors:  Derek D Reed; Brent A Kaplan; Adam T Brewer
Journal:  J Appl Behav Anal       Date:  2012

6.  A probabilistic, dynamic, and attribute-wise model of intertemporal choice.

Authors:  Junyi Dai; Jerome R Busemeyer
Journal:  J Exp Psychol Gen       Date:  2014-03-17

Review 7.  Excessive discounting of delayed reinforcers as a trans-disease process contributing to addiction and other disease-related vulnerabilities: emerging evidence.

Authors:  Warren K Bickel; David P Jarmolowicz; E Terry Mueller; Mikhail N Koffarnus; Kirstin M Gatchalian
Journal:  Pharmacol Ther       Date:  2012-02-22       Impact factor: 12.310

8.  Discounting of monetary rewards that are both delayed and probabilistic: delay and probability combine multiplicatively, not additively.

Authors:  Ariana Vanderveldt; Leonard Green; Joel Myerson
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2014-06-16       Impact factor: 3.051

Review 9.  Clinical models of decision making in addiction.

Authors:  Mikhail N Koffarnus; Brent A Kaplan
Journal:  Pharmacol Biochem Behav       Date:  2017-08-26       Impact factor: 3.533

10.  Effects of delay and probability combinations on discounting in humans.

Authors:  David J Cox; Jesse Dallery
Journal:  Behav Processes       Date:  2016-08-03       Impact factor: 1.777

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