Empirical Evidence on Convergence Across Brazilian States
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Revista Brasileira de Economia (Online) |
Texto Completo: | https://periodicos.fgv.br/rbe/article/view/1481 |
Resumo: | This paper is aimed to analyze the convergence hypothesis across Brazilian States in a 60 year period (1947-2006). In order to test the existence of income convergence, the order of integration of the income differences between each State and São Paulo is examined. São Paulo is the richest State and for this reason is used as a benchmark. First of all, we employed the conventional unit root tests, finding evidence against the convergence hypothesis. However, given the lack of power of unit root tests, especially when the convergence is very low, we used ARFIMA models, which is also theoretically more appropriate [Michelacci and Zaffaroni (2000)]. Even so, the findings of the ARFIMA models cast doubts on the convergence hypothesis |
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Empirical Evidence on Convergence Across Brazilian StatesEmpirical Evidence on Convergence Across Brazilian StatesGrowth ModelStochastic ConvergenceLong MemoryBrazil.Growth ModelStochastic ConvergenceLong MemoryBrazil.This paper is aimed to analyze the convergence hypothesis across Brazilian States in a 60 year period (1947-2006). In order to test the existence of income convergence, the order of integration of the income differences between each State and São Paulo is examined. São Paulo is the richest State and for this reason is used as a benchmark. First of all, we employed the conventional unit root tests, finding evidence against the convergence hypothesis. However, given the lack of power of unit root tests, especially when the convergence is very low, we used ARFIMA models, which is also theoretically more appropriate [Michelacci and Zaffaroni (2000)]. Even so, the findings of the ARFIMA models cast doubts on the convergence hypothesisO objetivo deste trabalho é analisar a hipótese de convergência entre os estados brasileiros, considerando um período de 60 anos (1947-2006). Para testar a existência de convergência de renda, foi examinada a ordem de integração das séries da diferença de renda entre cada estado e o estado de São Paulo. Esta abordagem de séries temporais não inclui nenhuma regressor na análise e, como consequência, pode ser vista como um teste incondicional.São Paulo é o estado mais rico e, por isso, é usado como referência.Primeiramente, foram empregados os testes de raiz unitária tradicionais,sendo encontrada evidência contra a hipótese de convergência. No entanto, dado o baixo poder dos testes de raiz unitária, especialmente quando a taxa de convergência é muito baixa, usamos modelos ARFIMA, que também são teoricamente mais adequados (Michelacci e Zaffaroni, 2000). Mesmo assim, os resultados da estimação dos modelos ARFIMA lançam dúvidas sobre a hipótese de convergência.EGV EPGE2010-06-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticlesArtigosapplication/pdfapplication/pdfhttps://periodicos.fgv.br/rbe/article/view/1481Revista Brasileira de Economia; Vol. 64 No. 2 (2010); 135-160Revista Brasileira de Economia; v. 64 n. 2 (2010); 135-1601806-91340034-7140reponame:Revista Brasileira de Economia (Online)instname:Fundação Getulio Vargas (FGV)instacron:FGVengporhttps://periodicos.fgv.br/rbe/article/view/1481/1717https://periodicos.fgv.br/rbe/article/view/1481/1718Lima, Luiz RenatoNotini, Hilton HostalácioReis Gomes, Fábio Augustoinfo:eu-repo/semantics/openAccess2010-07-22T20:11:53Zoai:ojs.periodicos.fgv.br:article/1481Revistahttps://periodicos.fgv.br/rbe/https://periodicos.fgv.br/rbe/oai||rbe@fgv.br1806-91340034-7140opendoar:2024-03-06T13:03:04.198712Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)true |
dc.title.none.fl_str_mv |
Empirical Evidence on Convergence Across Brazilian States Empirical Evidence on Convergence Across Brazilian States |
title |
Empirical Evidence on Convergence Across Brazilian States |
spellingShingle |
Empirical Evidence on Convergence Across Brazilian States Lima, Luiz Renato Growth Model Stochastic Convergence Long Memory Brazil. Growth Model Stochastic Convergence Long Memory Brazil. |
title_short |
Empirical Evidence on Convergence Across Brazilian States |
title_full |
Empirical Evidence on Convergence Across Brazilian States |
title_fullStr |
Empirical Evidence on Convergence Across Brazilian States |
title_full_unstemmed |
Empirical Evidence on Convergence Across Brazilian States |
title_sort |
Empirical Evidence on Convergence Across Brazilian States |
author |
Lima, Luiz Renato |
author_facet |
Lima, Luiz Renato Notini, Hilton Hostalácio Reis Gomes, Fábio Augusto |
author_role |
author |
author2 |
Notini, Hilton Hostalácio Reis Gomes, Fábio Augusto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Lima, Luiz Renato Notini, Hilton Hostalácio Reis Gomes, Fábio Augusto |
dc.subject.por.fl_str_mv |
Growth Model Stochastic Convergence Long Memory Brazil. Growth Model Stochastic Convergence Long Memory Brazil. |
topic |
Growth Model Stochastic Convergence Long Memory Brazil. Growth Model Stochastic Convergence Long Memory Brazil. |
description |
This paper is aimed to analyze the convergence hypothesis across Brazilian States in a 60 year period (1947-2006). In order to test the existence of income convergence, the order of integration of the income differences between each State and São Paulo is examined. São Paulo is the richest State and for this reason is used as a benchmark. First of all, we employed the conventional unit root tests, finding evidence against the convergence hypothesis. However, given the lack of power of unit root tests, especially when the convergence is very low, we used ARFIMA models, which is also theoretically more appropriate [Michelacci and Zaffaroni (2000)]. Even so, the findings of the ARFIMA models cast doubts on the convergence hypothesis |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-06-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articles Artigos |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.fgv.br/rbe/article/view/1481 |
url |
https://periodicos.fgv.br/rbe/article/view/1481 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://periodicos.fgv.br/rbe/article/view/1481/1717 https://periodicos.fgv.br/rbe/article/view/1481/1718 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
EGV EPGE |
publisher.none.fl_str_mv |
EGV EPGE |
dc.source.none.fl_str_mv |
Revista Brasileira de Economia; Vol. 64 No. 2 (2010); 135-160 Revista Brasileira de Economia; v. 64 n. 2 (2010); 135-160 1806-9134 0034-7140 reponame:Revista Brasileira de Economia (Online) instname:Fundação Getulio Vargas (FGV) instacron:FGV |
instname_str |
Fundação Getulio Vargas (FGV) |
instacron_str |
FGV |
institution |
FGV |
reponame_str |
Revista Brasileira de Economia (Online) |
collection |
Revista Brasileira de Economia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV) |
repository.mail.fl_str_mv |
||rbe@fgv.br |
_version_ |
1798943112884649984 |