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

Overview of attention for article published in Psychonomic Bulletin & Review, June 2017
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Title
Can a single model account for both risky choices and inter-temporal choices? Testing the assumptions underlying models of risky inter-temporal choice
Published in
Psychonomic Bulletin & Review, June 2017
DOI 10.3758/s13423-017-1330-8
Pubmed ID
Authors

Ashley Luckman, Chris Donkin, Ben R. Newell

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.

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Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 8 17%
Researcher 5 11%
Student > Postgraduate 4 9%
Student > Doctoral Student 3 7%
Other 6 13%
Unknown 11 24%
Readers by discipline Count As %
Psychology 21 46%
Decision Sciences 2 4%
Social Sciences 2 4%
Economics, Econometrics and Finance 2 4%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 15 33%