Measuring complexity in a business cycle

Detalhes bibliográficos
Autor(a) principal: Grácio, Clara
Data de Publicação: 2009
Outros Autores: Januario, Cristina, Duarte, Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/6763
Resumo: The purpose of this paper is to study the dynamical behavior of a family of two- dimensional nonlinear maps associated to an economic model. Our objective is to measure the complexity of the system using techniques of symbolic dynamics in order to compute the topological entropy. The analysis of the variation of this im- portant topological invariant with the parameters of the system, allows us to distin- guish different chaotic scenarios. Finally, we use a another topological invariant to distinguish isentropic dynamics and we exhibit numerical results about maps with the same topological entropy. This work provides an illustration of how our under- standing of higher dimensional economic models can be enhanced by the theory of dynamical systems.
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spelling Measuring complexity in a business cycleKaldorThe purpose of this paper is to study the dynamical behavior of a family of two- dimensional nonlinear maps associated to an economic model. Our objective is to measure the complexity of the system using techniques of symbolic dynamics in order to compute the topological entropy. The analysis of the variation of this im- portant topological invariant with the parameters of the system, allows us to distin- guish different chaotic scenarios. Finally, we use a another topological invariant to distinguish isentropic dynamics and we exhibit numerical results about maps with the same topological entropy. This work provides an illustration of how our under- standing of higher dimensional economic models can be enhanced by the theory of dynamical systems.Chaos, Solitons & Fractals2012-12-10T12:20:23Z2012-12-102009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/6763http://hdl.handle.net/10174/6763engCristina Januário, Clara Grácio, Jorge Duarte, Measuring complexity in a business cycle model of the Kaldor type, Chaos, Solitons & Fractals, 42 (2009), 2890-2903.mgracio@uevora.ptndnd721Grácio, ClaraJanuario, CristinaDuarte, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:46:22Zoai:dspace.uevora.pt:10174/6763Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:01:26.255635Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Measuring complexity in a business cycle
title Measuring complexity in a business cycle
spellingShingle Measuring complexity in a business cycle
Grácio, Clara
Kaldor
title_short Measuring complexity in a business cycle
title_full Measuring complexity in a business cycle
title_fullStr Measuring complexity in a business cycle
title_full_unstemmed Measuring complexity in a business cycle
title_sort Measuring complexity in a business cycle
author Grácio, Clara
author_facet Grácio, Clara
Januario, Cristina
Duarte, Jorge
author_role author
author2 Januario, Cristina
Duarte, Jorge
author2_role author
author
dc.contributor.author.fl_str_mv Grácio, Clara
Januario, Cristina
Duarte, Jorge
dc.subject.por.fl_str_mv Kaldor
topic Kaldor
description The purpose of this paper is to study the dynamical behavior of a family of two- dimensional nonlinear maps associated to an economic model. Our objective is to measure the complexity of the system using techniques of symbolic dynamics in order to compute the topological entropy. The analysis of the variation of this im- portant topological invariant with the parameters of the system, allows us to distin- guish different chaotic scenarios. Finally, we use a another topological invariant to distinguish isentropic dynamics and we exhibit numerical results about maps with the same topological entropy. This work provides an illustration of how our under- standing of higher dimensional economic models can be enhanced by the theory of dynamical systems.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01T00:00:00Z
2012-12-10T12:20:23Z
2012-12-10
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/6763
http://hdl.handle.net/10174/6763
url http://hdl.handle.net/10174/6763
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cristina Januário, Clara Grácio, Jorge Duarte, Measuring complexity in a business cycle model of the Kaldor type, Chaos, Solitons & Fractals, 42 (2009), 2890-2903.
mgracio@uevora.pt
nd
nd
721
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dc.publisher.none.fl_str_mv Chaos, Solitons & Fractals
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