Literature DB >> 28600719

Can a single model account for both risky choices and inter-temporal choices? Testing the assumptions underlying models of risky inter-temporal choice.

Ashley Luckman1,2, Chris Donkin3, Ben R Newell3.   

Abstract

There is growing interest in modelling how people make choices that involve both risks and delays, i.e., risky inter-temporal choices. We investigated an untested assumption underlying several proposed risky inter-temporal choice models: that pure risky choices and pure inter-temporal choices are special cases of risky inter-temporal choice. We tested this assumption by presenting a single group of participants with risky choices and inter-temporal choices. We then compared the performance of a model that is fit to both choice types simultaneously, with the performance of separate models fit to the risky choice and inter-temporal choice data. We find, using Bayesian model comparison, that the majority of participants are best fit by a single model that incorporates both risky and inter-temporal choices. This result supports the assumption that risky choices and inter-temporal choices may be special cases of risky inter-temporal choice. Our results also suggest that, under the conditions of our experiment, interpretation of monetary value is very similar in risky choices and inter-temporal choices.

Entities:  

Keywords:  Inter-temporal choice; Risky choice; Utility

Mesh:

Year:  2018        PMID: 28600719     DOI: 10.3758/s13423-017-1330-8

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  8 in total

Review 1.  Does the brain calculate value?

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Journal:  Trends Cogn Sci       Date:  2011-10-07       Impact factor: 20.229

2.  Subjective probability and delay.

Authors:  H Rachlin; A Raineri; D Cross
Journal:  J Exp Anal Behav       Date:  1991-03       Impact factor: 2.468

3.  The combined effects of delay and probability in discounting.

Authors:  Richard Yi; Xochitl de la Piedad; Warren K Bickel
Journal:  Behav Processes       Date:  2006-05-12       Impact factor: 1.777

4.  To Honor Fechner and Repeal His Law: A power function, not a log function, describes the operating characteristic of a sensory system.

Authors:  S S Stevens
Journal:  Science       Date:  1961-01-13       Impact factor: 47.728

5.  The probabilistic nature of preferential choice.

Authors:  Jörg Rieskamp
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-11       Impact factor: 3.051

6.  Modeling the effect of reward amount on probability discounting.

Authors:  Joel Myerson; Leonard Green; Joshua Morris
Journal:  J Exp Anal Behav       Date:  2011-03       Impact factor: 2.468

7.  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

8.  Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks.

Authors:  Benjamin T Vincent
Journal:  Behav Res Methods       Date:  2016-12
  8 in total
  2 in total

1.  Comparison of multiplicative and additive hyperbolic and hyperboloid discounting models in delayed lotteries involving gains and losses.

Authors:  Wojciech Białaszek; Przemysław Marcowski; David J Cox
Journal:  PLoS One       Date:  2020-05-22       Impact factor: 3.240

2.  Risk preferences impose a hidden distortion on measures of choice impulsivity.

Authors:  Silvia Lopez-Guzman; Anna B Konova; Kenway Louie; Paul W Glimcher
Journal:  PLoS One       Date:  2018-01-26       Impact factor: 3.240

  2 in total

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