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A Markovian model market-Akerlof's lemons and the asymmetry of information

dc.contributor.authorTilles, Paulo F. C. [UNESP]
dc.contributor.authorFerreira, Fernando F.
dc.contributor.authorFrancisco, Gerson [UNESP]
dc.contributor.authorPereira, Carlos de B.
dc.contributor.authorSarti, Flavia Medeiros [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2013-09-30T19:03:49Z
dc.date.accessioned2014-05-20T14:14:29Z
dc.date.available2013-09-30T19:03:49Z
dc.date.available2014-05-20T14:14:29Z
dc.date.issued2011-07-01
dc.description.abstractIn this work we study an agent based model to investigate the role of asymmetric information degrees for market evolution. This model is quite simple and may be treated analytically since the consumers evaluate the quality of a certain good taking into account only the quality of the last good purchased plus her perceptive capacity beta. As a consequence, the system evolves according to a stationary Markov chain. The value of a good offered by the firms increases along with quality according to an exponent alpha, which is a measure of the technology. It incorporates all the technological capacity of the production systems such as education, scientific development and techniques that change the productivity rates. The technological level plays an important role to explain how the asymmetry of information may affect the market evolution in this model. We observe that, for high technological levels, the market can detect adverse selection. The model allows us to compute the maximum asymmetric information degree before the market collapses. Below this critical point the market evolves during a limited period of time and then dies out completely. When beta is closer to 1 (symmetric information), the market becomes more profitable for high quality goods, although high and low quality markets coexist. The maximum asymmetric information level is a consequence of an ergodicity breakdown in the process of quality evaluation. (C) 2011 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniv São Paulo, EACH, BR-03828000 São Paulo, Brazil
dc.description.affiliationUniv Estadual Paulista, Inst Fis Teor, BR-01156970 São Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Inst Fis Teor, BR-01156970 São Paulo, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent2562-2570
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2011.03.007
dc.identifier.citationPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 390, n. 13, p. 2562-2570, 2011.
dc.identifier.doi10.1016/j.physa.2011.03.007
dc.identifier.fileWOS000291136200012.pdf
dc.identifier.issn0378-4371
dc.identifier.urihttp://hdl.handle.net/11449/24721
dc.identifier.wosWOS:000291136200012
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofPhysica A: Statistical Mechanics and Its Applications
dc.relation.ispartofjcr2.132
dc.relation.ispartofsjr0,773
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMarkovian market modelen
dc.subjectAsymmetric informationen
dc.subjectTechnological evolutionen
dc.titleA Markovian model market-Akerlof's lemons and the asymmetry of informationen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Física Teórica (IFT), São Paulopt

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