Neural Activity Reveals Preferences Without Choices

dc.contributor.authorSmith, Alexander Charlesen
dc.contributor.authorBernheim, B. Douglasen
dc.contributor.authorCamerer, Colin F.en
dc.contributor.authorRangel, Antonioen
dc.date.accessioned2017-10-10T18:06:12Zen
dc.date.available2017-10-10T18:06:12Zen
dc.date.issued2014-05en
dc.description.abstractWe investigate the feasibility of inferring the choices people would make (if given the opportunity) based on their neural responses to the pertinent prospects when they are not engaged in actual decision making. The ability to make such inferences is of potential value when choice data are unavailable, or limited in ways that render standard methods of estimating choice mappings problematic. We formulate prediction models relating choices to “non-choice” neural responses and use them to predict out-of-sample choices for new items and for new groups of individuals. The predictions are sufficiently accurate to establish the feasibility of our approach.en
dc.identifier.doihttps://doi.org/10.1257/mic.6.2.1en
dc.identifier.issue2en
dc.identifier.urihttp://hdl.handle.net/10919/79609en
dc.identifier.volume6en
dc.language.isoen_USen
dc.publisherAmerican Economic Associationen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleNeural Activity Reveals Preferences Without Choicesen
dc.title.serialAmerican Economic Journal: Microeconomicsen
dc.typeArticle - Refereeden

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