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

Measuring temporal discounting through the use of intertemporal choice tasks is now the gold standard method for quantifying human choice impulsivity (impatience) in neuroscience, psychology, behavioral economics, public health and computational psychiatry. A recent area of growing interest is indiv...

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Main Authors: Silvia Lopez-Guzman, Anna B Konova, Kenway Louie, Paul W Glimcher
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5786295?pdf=render
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author Silvia Lopez-Guzman
Anna B Konova
Kenway Louie
Paul W Glimcher
author_facet Silvia Lopez-Guzman
Anna B Konova
Kenway Louie
Paul W Glimcher
author_sort Silvia Lopez-Guzman
collection DOAJ
description Measuring temporal discounting through the use of intertemporal choice tasks is now the gold standard method for quantifying human choice impulsivity (impatience) in neuroscience, psychology, behavioral economics, public health and computational psychiatry. A recent area of growing interest is individual differences in discounting levels, as these may predispose to (or protect from) mental health disorders, addictive behaviors, and other diseases. At the same time, more and more studies have been dedicated to the quantification of individual attitudes towards risk, which have been measured in many clinical and non-clinical populations using closely related techniques. Economists have pointed to interactions between measurements of time preferences and risk preferences that may distort estimations of the discount rate. However, although becoming standard practice in economics, discount rates and risk preferences are rarely measured simultaneously in the same subjects in other fields, and the magnitude of the imposed distortion is unknown in the assessment of individual differences. Here, we show that standard models of temporal discounting -such as a hyperbolic discounting model widely present in the literature which fails to account for risk attitudes in the estimation of discount rates- result in a large and systematic pattern of bias in estimated discounting parameters. This can lead to the spurious attribution of differences in impulsivity between individuals when in fact differences in risk attitudes account for observed behavioral differences. We advance a model which, when applied to standard choice tasks typically used in psychology and neuroscience, provides both a better fit to the data and successfully de-correlates risk and impulsivity parameters. This results in measures that are more accurate and thus of greater utility to the many fields interested in individual differences in impulsivity.
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spelling doaj.art-24246615135d45c5b65d10784c47ed8b2022-12-22T02:01:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e019135710.1371/journal.pone.0191357Risk preferences impose a hidden distortion on measures of choice impulsivity.Silvia Lopez-GuzmanAnna B KonovaKenway LouiePaul W GlimcherMeasuring temporal discounting through the use of intertemporal choice tasks is now the gold standard method for quantifying human choice impulsivity (impatience) in neuroscience, psychology, behavioral economics, public health and computational psychiatry. A recent area of growing interest is individual differences in discounting levels, as these may predispose to (or protect from) mental health disorders, addictive behaviors, and other diseases. At the same time, more and more studies have been dedicated to the quantification of individual attitudes towards risk, which have been measured in many clinical and non-clinical populations using closely related techniques. Economists have pointed to interactions between measurements of time preferences and risk preferences that may distort estimations of the discount rate. However, although becoming standard practice in economics, discount rates and risk preferences are rarely measured simultaneously in the same subjects in other fields, and the magnitude of the imposed distortion is unknown in the assessment of individual differences. Here, we show that standard models of temporal discounting -such as a hyperbolic discounting model widely present in the literature which fails to account for risk attitudes in the estimation of discount rates- result in a large and systematic pattern of bias in estimated discounting parameters. This can lead to the spurious attribution of differences in impulsivity between individuals when in fact differences in risk attitudes account for observed behavioral differences. We advance a model which, when applied to standard choice tasks typically used in psychology and neuroscience, provides both a better fit to the data and successfully de-correlates risk and impulsivity parameters. This results in measures that are more accurate and thus of greater utility to the many fields interested in individual differences in impulsivity.http://europepmc.org/articles/PMC5786295?pdf=render
spellingShingle Silvia Lopez-Guzman
Anna B Konova
Kenway Louie
Paul W Glimcher
Risk preferences impose a hidden distortion on measures of choice impulsivity.
PLoS ONE
title Risk preferences impose a hidden distortion on measures of choice impulsivity.
title_full Risk preferences impose a hidden distortion on measures of choice impulsivity.
title_fullStr Risk preferences impose a hidden distortion on measures of choice impulsivity.
title_full_unstemmed Risk preferences impose a hidden distortion on measures of choice impulsivity.
title_short Risk preferences impose a hidden distortion on measures of choice impulsivity.
title_sort risk preferences impose a hidden distortion on measures of choice impulsivity
url http://europepmc.org/articles/PMC5786295?pdf=render
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AT kenwaylouie riskpreferencesimposeahiddendistortiononmeasuresofchoiceimpulsivity
AT paulwglimcher riskpreferencesimposeahiddendistortiononmeasuresofchoiceimpulsivity