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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Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26912
Acceso en línea:
https://doi.org/10.1371/journal.pone.0191357
https://repository.urosario.edu.co/handle/10336/26912
Palabra clave:
Medical risk factors
Impulsivity
Decision making
Psychological attitudes
Payment
Behavior
Clinical psychology
Finance
Rights
License
Abierto (Texto Completo)
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dc.title.spa.fl_str_mv Risk preferences impose a hidden distortion on measures of choice impulsivity
dc.title.TranslatedTitle.spa.fl_str_mv Las preferencias de riesgo imponen una distorsión oculta en las medidas de impulsividad de elección
title Risk preferences impose a hidden distortion on measures of choice impulsivity
spellingShingle Risk preferences impose a hidden distortion on measures of choice impulsivity
Medical risk factors
Impulsivity
Decision making
Psychological attitudes
Payment
Behavior
Clinical psychology
Finance
title_short 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_sort Risk preferences impose a hidden distortion on measures of choice impulsivity
dc.subject.keyword.spa.fl_str_mv Medical risk factors
Impulsivity
Decision making
Psychological attitudes
Payment
Behavior
Clinical psychology
Finance
topic Medical risk factors
Impulsivity
Decision making
Psychological attitudes
Payment
Behavior
Clinical psychology
Finance
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.
publishDate 2018
dc.date.created.spa.fl_str_mv 2018-01-26
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:40:30Z
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dc.type.eng.fl_str_mv article
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1371/journal.pone.0191357
dc.identifier.issn.none.fl_str_mv EISSN: 1932-6203
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url https://doi.org/10.1371/journal.pone.0191357
https://repository.urosario.edu.co/handle/10336/26912
identifier_str_mv EISSN: 1932-6203
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv PLoS One
dc.relation.ispartof.spa.fl_str_mv PLoS One, EISSN: 1932-6203, (26 January 2018); 18 pp.
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dc.source.spa.fl_str_mv PLoS One
institution Universidad del Rosario
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