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How do people respond to small probability events with large, negative consequences?

dc.contributor.authorEichenbaum, Martin
dc.contributor.authorMatos, Miguel Godinho de
dc.contributor.authorLima, Francisco
dc.contributor.authorTrabandt, Mathias
dc.contributor.authorRebelo, Sergio
dc.date.accessioned2021-05-10T09:36:40Z
dc.date.available2021-05-10T09:36:40Z
dc.date.issued2020-10
dc.description.abstractWe study how people react to small probability events with large negative consequences using the outbreak of the COVID-19 epidemic as a natural experiment. Our analysis is based on a unique administrative data set with anonymized monthly expenditures at the individual level. We find that older consumers reduced their spending by more than younger consumers in a way that mirrors the age dependency in COVID-19 case-fatality rates. This differential expenditure reduction is much more prominent for high-contact goods than for low-contact goods and more pronounced in periods with high COVID-19 cases. Our results are consistent with the hypothesis that people react to the risk of contracting COVID-19 in a way that is consistent with a canonical model of risk taking.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3386/w27988pt_PT
dc.identifier.issn0898-2937
dc.identifier.urihttp://hdl.handle.net/10400.14/32950
dc.language.isoengpt_PT
dc.titleHow do people respond to small probability events with large, negative consequences?pt_PT
dc.typeworking paper
dspace.entity.typePublication
oaire.citation.titleNational Bureau of Economic Research (NBER)pt_PT
oaire.citation.volume27988pt_PT
person.familyNameGodinho de Matos
person.givenNameMiguel
person.identifier.ciencia-id4217-C942-9E6F
person.identifier.orcid0000-0002-6333-2753
person.identifier.ridM-3545-2013
person.identifier.scopus-author-id56757598200
rcaap.rightsopenAccesspt_PT
rcaap.typeworkingPaperpt_PT
relation.isAuthorOfPublicationc9055da8-5ee5-422f-914b-8f5363ea3db9
relation.isAuthorOfPublication.latestForDiscoveryc9055da8-5ee5-422f-914b-8f5363ea3db9

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