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A Model of Animal Spirits via Sentiment Spreading

dc.contributor.authorGomes, Orlando
dc.date.accessioned2017-04-04T09:53:45Z
dc.date.available2017-04-04T09:53:45Z
dc.date.issued2015
dc.description.abstractIn order to incorporate animal spirits in a scientifically rigorous inquiry about the causes of aggregate business cycles, one needs to explore the foundations of human behavior, namely concerning the process through which sentiment switching occurs. Which factors drive human sentiments? In what conditions a pessimistic individual becomes an optimist, or the other way around? Is it possible to justify persistent waves of optimism and pessimism under reasonable assumptions concerning social behavior? This article proposes a framework to address the posed questions. The setup is based on rumor propagation theory and it explains how social interaction may lead individuals to change from one sentiment state to the other, eventually triggering a rotation between periods of dominant optimism and periods of dominant pessimism.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGomes, O. (2015). “A Model of Animal Spirits via Sentiment Spreading.” Nonlinear Dynamics, Psychology and Life Sciences, vol. 19, issue 3, pp. 313-343.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/6897
dc.language.isoengpt_PT
dc.subjectAnimal spirits; Waves of optimism and pessimism; Sentiment propagation; Steady-state analysis; Transitional dynamics; Endogenous fluctuations; Interactive Markov chain.pt_PT
dc.titleA Model of Animal Spirits via Sentiment Spreadingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage343pt_PT
oaire.citation.issueIssue 3pt_PT
oaire.citation.startPage313pt_PT
oaire.citation.titleNonlinear Dynamics, Psychology and Life Sciencespt_PT
oaire.citation.volume19pt_PT
person.familyNameGomes
person.givenNameOrlando
person.identifier.orcid0000-0001-6324-7594
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationd875b202-226d-48f2-bc40-570c6a58758f
relation.isAuthorOfPublication.latestForDiscoveryd875b202-226d-48f2-bc40-570c6a58758f

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