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dc.contributor.authorPammi, V. S. Chandrasekhar
dc.contributor.authorRuiz, Sergio
dc.contributor.authorLee, Sangkyun
dc.contributor.authorNoussair, Charles N.
dc.contributor.authorSitaram, Ranganatha
dc.date.accessioned2017-08-28T20:44:05Z
dc.date.available2017-08-28T20:44:05Z
dc.date.issued2017-04-27
dc.identifier.citationThe Effect of Wealth Shocks on Loss Aversion: Behavior and Neural Correlates 2017, 11 Frontiers in Neuroscienceen
dc.identifier.issn1662-453X
dc.identifier.pmid28496399
dc.identifier.doi10.3389/fnins.2017.00237
dc.identifier.urihttp://hdl.handle.net/10150/625398
dc.description.abstractKahneman and Tversky (1979) first demonstrated that when individuals decide whether or not to accept a gamble, potential losses receive more weight than possible gains in the decision. This phenomenon is referred to as loss aversion. We investigated how loss aversion in risky financial decisions is influenced by sudden changes to wealth, employing both behavioral and neurobiological measures. We implemented an fMRI experimental paradigm, based on that employed by Tom et al. (2007). There are two treatments, called RANDOM and CONTINGENT. In RANDOM, the baseline setting, the changes to wealth, referred to as wealth shocks in economics, are independent of the actual choices participants make. Under CONTINGENT, we induce the belief that the changes in income are a consequence of subjects' own decisions. The magnitudes and sequence of the shocks to wealth are identical between the CONTINGENT and RANDOM treatments. We investigated whether more loss aversion existed in one treatment than another. The behavioral results showed significantly greater loss aversion in CONTINGENT compared to RANDOM after a negative wealth shock. No differences were observed in the response to positive shocks. The fMRI results revealed a neural loss aversion network, comprising the bilateral striatum, amygdala and dorsal anterior cingulate cortex that was common to the CONTINGENT and RANDOM tasks. However, the ventral prefrontal cortex, primary somatosensory cortex and superior occipital cortex, showed greater activation in response to a negative change in wealth due to individual's own decisions than when the change was exogenous. These results indicate that striatum activation correlates with loss aversion independently of the source of the shock, and that the ventral prefrontal cortex (vPFC) codes the experimental manipulation of agency in one's actions influencing loss aversion.
dc.description.sponsorshipUniversity Grants Commission (UGC), Government of India, Centre of Excellence Grant; Comision Nacional de Investigacion Cientifica y Tecnologica de Chile (Conicyt) through Fondo Nacional de Desarrollo Cientifico y Tecnologico, Fondecyt Regular [1171313, 1171320]; BMBF [01DQ13004]; Proyectos de Investigacion Interdisciplinaria, Vicerrectoria de Investigacion (VRI), Pontificia Universidad Catolica de Chile [15/2013]; CONICYT-PCHA/Magister Nacional [2014-22140196]; CONICYT-PIA Anillo [ACT1416, ACT1414]en
dc.language.isoenen
dc.publisherFRONTIERS MEDIA SAen
dc.relation.urlhttp://journal.frontiersin.org/article/10.3389/fnins.2017.00237/fullen
dc.rights© 2017 Pammi, Ruiz, Lee, Noussair and Sitaram. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectneural loss aversionen
dc.subjectwealth shocksen
dc.subjectvalue functionen
dc.subjectventral prefrontal cortexen
dc.subjectloss aversionen
dc.subjectagencyen
dc.titleThe Effect of Wealth Shocks on Loss Aversion: Behavior and Neural Correlatesen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Econ Sci Lab, Eller Coll Managementen
dc.identifier.journalFrontiers in Neuroscienceen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-05-28T09:42:46Z
html.description.abstractKahneman and Tversky (1979) first demonstrated that when individuals decide whether or not to accept a gamble, potential losses receive more weight than possible gains in the decision. This phenomenon is referred to as loss aversion. We investigated how loss aversion in risky financial decisions is influenced by sudden changes to wealth, employing both behavioral and neurobiological measures. We implemented an fMRI experimental paradigm, based on that employed by Tom et al. (2007). There are two treatments, called RANDOM and CONTINGENT. In RANDOM, the baseline setting, the changes to wealth, referred to as wealth shocks in economics, are independent of the actual choices participants make. Under CONTINGENT, we induce the belief that the changes in income are a consequence of subjects' own decisions. The magnitudes and sequence of the shocks to wealth are identical between the CONTINGENT and RANDOM treatments. We investigated whether more loss aversion existed in one treatment than another. The behavioral results showed significantly greater loss aversion in CONTINGENT compared to RANDOM after a negative wealth shock. No differences were observed in the response to positive shocks. The fMRI results revealed a neural loss aversion network, comprising the bilateral striatum, amygdala and dorsal anterior cingulate cortex that was common to the CONTINGENT and RANDOM tasks. However, the ventral prefrontal cortex, primary somatosensory cortex and superior occipital cortex, showed greater activation in response to a negative change in wealth due to individual's own decisions than when the change was exogenous. These results indicate that striatum activation correlates with loss aversion independently of the source of the shock, and that the ventral prefrontal cortex (vPFC) codes the experimental manipulation of agency in one's actions influencing loss aversion.


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© 2017 Pammi, Ruiz, Lee, Noussair and Sitaram. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Except where otherwise noted, this item's license is described as © 2017 Pammi, Ruiz, Lee, Noussair and Sitaram. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).