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...
- Autores:
- 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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528667196000e7f5eef-a42d-4667-b6af-238e4a376a93-15a0dd66a-9576-4a7b-8d6b-ac2dac21024c-1583c2c80-0b81-4a1b-a7b3-fd1182241b61-12020-08-19T14:40:30Z2020-08-19T14:40:30Z2018-01-26Measuring 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.application/pdfhttps://doi.org/10.1371/journal.pone.0191357EISSN: 1932-6203https://repository.urosario.edu.co/handle/10336/26912engPLOS Public Library of SciencePLoS OnePLoS One, EISSN: 1932-6203, (26 January 2018); 18 pp. https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0191357&type=printableAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2PLoS Oneinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURMedical risk factorsImpulsivityDecision makingPsychological attitudesPaymentBehaviorClinical psychologyFinanceRisk preferences impose a hidden distortion on measures of choice impulsivityLas preferencias de riesgo imponen una distorsión oculta en las medidas de impulsividad de elecciónarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501López Guzmán, SilviaKonova, Anna B.Louie, KenwayGlimcher, Paul W.ORIGINALjournal-pone-0191357.pdfapplication/pdf1844624https://repository.urosario.edu.co/bitstreams/3d07efb5-72ac-47e9-8e2b-e6d6ba3ba061/download07bb3002c5c584df9b80ccb949b268deMD51TEXTjournal-pone-0191357.pdf.txtjournal-pone-0191357.pdf.txtExtracted texttext/plain68409https://repository.urosario.edu.co/bitstreams/36582226-967f-4919-9577-9b0bf74119f2/downloadf5e5a344a81a55d5192984fa0f266957MD52THUMBNAILjournal-pone-0191357.pdf.jpgjournal-pone-0191357.pdf.jpgGenerated Thumbnailimage/jpeg4317https://repository.urosario.edu.co/bitstreams/0827910c-597d-4877-b8ab-f3ad46db712a/download510c1a5ce1d0828de044b100403689d0MD5310336/26912oai:repository.urosario.edu.co:10336/269122021-06-03 00:50:02.0https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
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 |
dc.date.available.none.fl_str_mv |
2020-08-19T14:40:30Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
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 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/26912 |
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. |
dc.relation.uri.spa.fl_str_mv |
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0191357&type=printable |
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http://purl.org/coar/access_right/c_abf2 |
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Abierto (Texto Completo) |
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PLOS Public Library of Science |
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PLoS One |
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Universidad del Rosario |
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reponame:Repositorio Institucional EdocUR |
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