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

Detalhes bibliográficos
Autor(a) principal: Tilles, Paulo F. C. [UNESP]
Data de Publicação: 2011
Outros Autores: Ferreira, Fernando F., Francisco, Gerson [UNESP], Pereira, Carlos de B., Sarti, Flavia Medeiros [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.physa.2011.03.007
http://hdl.handle.net/11449/24721
Resumo: In 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.
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spelling A Markovian model market-Akerlof's lemons and the asymmetry of informationMarkovian market modelAsymmetric informationTechnological evolutionIn 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ São Paulo, EACH, BR-03828000 São Paulo, BrazilUniv Estadual Paulista, Inst Fis Teor, BR-01156970 São Paulo, BrazilUniv Estadual Paulista, Inst Fis Teor, BR-01156970 São Paulo, BrazilElsevier B.V.Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Tilles, Paulo F. C. [UNESP]Ferreira, Fernando F.Francisco, Gerson [UNESP]Pereira, Carlos de B.Sarti, Flavia Medeiros [UNESP]2013-09-30T19:03:49Z2014-05-20T14:14:29Z2013-09-30T19:03:49Z2014-05-20T14:14:29Z2011-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2562-2570application/pdfhttp://dx.doi.org/10.1016/j.physa.2011.03.007Physica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 390, n. 13, p. 2562-2570, 2011.0378-4371http://hdl.handle.net/11449/2472110.1016/j.physa.2011.03.007WOS:000291136200012WOS000291136200012.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPhysica A: Statistical Mechanics and Its Applications2.1320,773info:eu-repo/semantics/openAccess2023-10-04T06:01:37Zoai:repositorio.unesp.br:11449/24721Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-04T06:01:37Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Markovian model market-Akerlof's lemons and the asymmetry of information
title A Markovian model market-Akerlof's lemons and the asymmetry of information
spellingShingle A Markovian model market-Akerlof's lemons and the asymmetry of information
Tilles, Paulo F. C. [UNESP]
Markovian market model
Asymmetric information
Technological evolution
title_short A Markovian model market-Akerlof's lemons and the asymmetry of information
title_full A Markovian model market-Akerlof's lemons and the asymmetry of information
title_fullStr A Markovian model market-Akerlof's lemons and the asymmetry of information
title_full_unstemmed A Markovian model market-Akerlof's lemons and the asymmetry of information
title_sort A Markovian model market-Akerlof's lemons and the asymmetry of information
author Tilles, Paulo F. C. [UNESP]
author_facet Tilles, Paulo F. C. [UNESP]
Ferreira, Fernando F.
Francisco, Gerson [UNESP]
Pereira, Carlos de B.
Sarti, Flavia Medeiros [UNESP]
author_role author
author2 Ferreira, Fernando F.
Francisco, Gerson [UNESP]
Pereira, Carlos de B.
Sarti, Flavia Medeiros [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Tilles, Paulo F. C. [UNESP]
Ferreira, Fernando F.
Francisco, Gerson [UNESP]
Pereira, Carlos de B.
Sarti, Flavia Medeiros [UNESP]
dc.subject.por.fl_str_mv Markovian market model
Asymmetric information
Technological evolution
topic Markovian market model
Asymmetric information
Technological evolution
description In 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.
publishDate 2011
dc.date.none.fl_str_mv 2011-07-01
2013-09-30T19:03:49Z
2013-09-30T19:03:49Z
2014-05-20T14:14:29Z
2014-05-20T14:14:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.physa.2011.03.007
Physica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 390, n. 13, p. 2562-2570, 2011.
0378-4371
http://hdl.handle.net/11449/24721
10.1016/j.physa.2011.03.007
WOS:000291136200012
WOS000291136200012.pdf
url http://dx.doi.org/10.1016/j.physa.2011.03.007
http://hdl.handle.net/11449/24721
identifier_str_mv Physica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 390, n. 13, p. 2562-2570, 2011.
0378-4371
10.1016/j.physa.2011.03.007
WOS:000291136200012
WOS000291136200012.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Physica A: Statistical Mechanics and Its Applications
2.132
0,773
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2562-2570
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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