Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models

Detalhes bibliográficos
Ano de defesa: 2005
Autor(a) principal: Ferreira, Roberto Tatiwa
Orientador(a): Castelar, Luiz Ivan de Melo
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Produto Interno Bruto PIB
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/659
Resumo: The present study uses linear and non-linear diffusion index models to produce one-step-ahead forecast of quarterly Brazilian GDP growth rate. Diffusion index models are like dynamic factors models. These factors are latent variables that represent a common property from the explanatory variables, then allowing a considerably reduction of its number in econometric models elaborated to attend the main objective of this work. The non-linear diffusion index models used in this thesis are not only parsimonious ones, but also they try to capture economic cycles using for this goal a Threshold diffusion index model and a Markov-Switching diffusion index model. The former is used, besides for forecasting purpose, also to test if there is a non-linear pattern in the quarterly Brazilian GDP growth rate.
id UFC-7_f3dbd5e3f014521ee0d5b48572d87db8
oai_identifier_str oai:repositorio.ufc.br:riufc/659
network_acronym_str UFC-7
network_name_str Repositório Institucional da Universidade Federal do Ceará (UFC)
repository_id_str
spelling Ferreira, Roberto TatiwaCastelar, Luiz Ivan de Melo2011-08-12T20:17:14Z2011-08-12T20:17:14Z2005FERREIRA, Roberto Tatiwa. Forecasting quarterly brazilian GDP growth rate with linear and nonlinear diffusion index models. Tese (Doutorado). Universidade Federal do Ceará, Programa de Pós Graduação em Economia, CAEN, Fortaleza, 2005.http://www.repositorio.ufc.br/handle/riufc/659The present study uses linear and non-linear diffusion index models to produce one-step-ahead forecast of quarterly Brazilian GDP growth rate. Diffusion index models are like dynamic factors models. These factors are latent variables that represent a common property from the explanatory variables, then allowing a considerably reduction of its number in econometric models elaborated to attend the main objective of this work. The non-linear diffusion index models used in this thesis are not only parsimonious ones, but also they try to capture economic cycles using for this goal a Threshold diffusion index model and a Markov-Switching diffusion index model. The former is used, besides for forecasting purpose, also to test if there is a non-linear pattern in the quarterly Brazilian GDP growth rate.Esta Tese estuda modelos lineares e não lineares de índices de difusão para prever, em um período à frente, a taxa de crescimento trimestral do PIB brasileiro. Os modelos de índice de difusão assemelham-se aos modelos de fatores dinâmicos. Estes fatores são variáveis não observáveis e representam uma característica em comum às variáveis explicativas, permitindo a redução significativa do número dessas no modelo econométrico proposto para atender o objetivo principal deste trabalho. Além de parcimoniosos, os modelos utilizados nesta Tese se propõem a capitar as fases de recessão e expansão econômica, através de modelos não lineares do tipo Threshold Effect e Markov-Switching, servindo o primeiro destes dois para testar a hipótese de que existe não linearidades na variável sob estudo.Produto Interno Bruto PIBForecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index modelsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisporreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccessORIGINAL2011_tese_rtferreira2011_tese_rtferreiraapplication/pdf608496http://repositorio.ufc.br/bitstream/riufc/659/1/2011_tese_rtferreirab91e1027e0c3b1ca6eb0f0ad3ec02e3fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ufc.br/bitstream/riufc/659/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52riufc/6592022-07-06 10:41:30.006oai:repositorio.ufc.br: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Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2022-07-06T13:41:30Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.pt_BR.fl_str_mv Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
title Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
spellingShingle Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
Ferreira, Roberto Tatiwa
Produto Interno Bruto PIB
title_short Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
title_full Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
title_fullStr Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
title_full_unstemmed Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
title_sort Forecasting quarterly brazilian GDP growth rate with linear and non linear diffusion index models
author Ferreira, Roberto Tatiwa
author_facet Ferreira, Roberto Tatiwa
author_role author
dc.contributor.author.fl_str_mv Ferreira, Roberto Tatiwa
dc.contributor.advisor1.fl_str_mv Castelar, Luiz Ivan de Melo
contributor_str_mv Castelar, Luiz Ivan de Melo
dc.subject.por.fl_str_mv Produto Interno Bruto PIB
topic Produto Interno Bruto PIB
description The present study uses linear and non-linear diffusion index models to produce one-step-ahead forecast of quarterly Brazilian GDP growth rate. Diffusion index models are like dynamic factors models. These factors are latent variables that represent a common property from the explanatory variables, then allowing a considerably reduction of its number in econometric models elaborated to attend the main objective of this work. The non-linear diffusion index models used in this thesis are not only parsimonious ones, but also they try to capture economic cycles using for this goal a Threshold diffusion index model and a Markov-Switching diffusion index model. The former is used, besides for forecasting purpose, also to test if there is a non-linear pattern in the quarterly Brazilian GDP growth rate.
publishDate 2005
dc.date.issued.fl_str_mv 2005
dc.date.accessioned.fl_str_mv 2011-08-12T20:17:14Z
dc.date.available.fl_str_mv 2011-08-12T20:17:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv FERREIRA, Roberto Tatiwa. Forecasting quarterly brazilian GDP growth rate with linear and nonlinear diffusion index models. Tese (Doutorado). Universidade Federal do Ceará, Programa de Pós Graduação em Economia, CAEN, Fortaleza, 2005.
dc.identifier.uri.fl_str_mv http://www.repositorio.ufc.br/handle/riufc/659
identifier_str_mv FERREIRA, Roberto Tatiwa. Forecasting quarterly brazilian GDP growth rate with linear and nonlinear diffusion index models. Tese (Doutorado). Universidade Federal do Ceará, Programa de Pós Graduação em Economia, CAEN, Fortaleza, 2005.
url http://www.repositorio.ufc.br/handle/riufc/659
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
bitstream.url.fl_str_mv http://repositorio.ufc.br/bitstream/riufc/659/1/2011_tese_rtferreira
http://repositorio.ufc.br/bitstream/riufc/659/2/license.txt
bitstream.checksum.fl_str_mv b91e1027e0c3b1ca6eb0f0ad3ec02e3f
8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1847793262573649920

Registros relacionados