The Brazilian business and growth cycles
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Economia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402002000100003 |
Resumo: | This paper uses several produceres to date and analyse the Brazilian business and growth cycles. In particular, a Markov switching model is fitted to quarterly and annual real production data. The smoothed probabilities of the Markov states are used as predictive rules to define different phases of cyclical fluctuations of real Brazilian production. The results are compared with different non-parametric rules. All methods implemented yield similar dating and reveal asymmetries across the different states of the Brazilian business and growth cycles, in which slowdowns and recessions are short and abrupt, while high growth phases and expansions are longer and less steep. The resulting dating of the Brazilian economic cycles can be used as a reference point for construction and evaluation of the predictive performance of coincident, leading, or lagging indicators of economic activity. In addition, the filtered probabilities obtained from the Markov switching model allow early recognition of the transition to a new business cycle phase, wich can be used, for example, for evaluation of the adequate strength and timing of countercyclical policies, for reassessment of projected sales or profits by businesses and investors, or for monitoring of inflation pressures. |
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The Brazilian business and growth cyclesbusiness cyclegrowth cycleMarkov switchingnon-parametric rulesThis paper uses several produceres to date and analyse the Brazilian business and growth cycles. In particular, a Markov switching model is fitted to quarterly and annual real production data. The smoothed probabilities of the Markov states are used as predictive rules to define different phases of cyclical fluctuations of real Brazilian production. The results are compared with different non-parametric rules. All methods implemented yield similar dating and reveal asymmetries across the different states of the Brazilian business and growth cycles, in which slowdowns and recessions are short and abrupt, while high growth phases and expansions are longer and less steep. The resulting dating of the Brazilian economic cycles can be used as a reference point for construction and evaluation of the predictive performance of coincident, leading, or lagging indicators of economic activity. In addition, the filtered probabilities obtained from the Markov switching model allow early recognition of the transition to a new business cycle phase, wich can be used, for example, for evaluation of the adequate strength and timing of countercyclical policies, for reassessment of projected sales or profits by businesses and investors, or for monitoring of inflation pressures.Fundação Getúlio Vargas2002-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402002000100003Revista Brasileira de Economia v.56 n.1 2002reponame:Revista Brasileira de Economia (Online)instname:Fundação Getulio Vargas (FGV)instacron:FGV10.1590/S0034-71402002000100003info:eu-repo/semantics/openAccessChauvet,Marcelleeng2002-09-22T00:00:00Zoai:scielo:S0034-71402002000100003Revistahttp://bibliotecadigital.fgv.br/ojs/index.php/rbe/issue/archivehttps://old.scielo.br/oai/scielo-oai.php||rbe@fgv.br1806-91340034-7140opendoar:2002-09-22T00:00Revista Brasileira de Economia (Online) - Fundação Getulio Vargas (FGV)false |
dc.title.none.fl_str_mv |
The Brazilian business and growth cycles |
title |
The Brazilian business and growth cycles |
spellingShingle |
The Brazilian business and growth cycles Chauvet,Marcelle business cycle growth cycle Markov switching non-parametric rules |
title_short |
The Brazilian business and growth cycles |
title_full |
The Brazilian business and growth cycles |
title_fullStr |
The Brazilian business and growth cycles |
title_full_unstemmed |
The Brazilian business and growth cycles |
title_sort |
The Brazilian business and growth cycles |
author |
Chauvet,Marcelle |
author_facet |
Chauvet,Marcelle |
author_role |
author |
dc.contributor.author.fl_str_mv |
Chauvet,Marcelle |
dc.subject.por.fl_str_mv |
business cycle growth cycle Markov switching non-parametric rules |
topic |
business cycle growth cycle Markov switching non-parametric rules |
description |
This paper uses several produceres to date and analyse the Brazilian business and growth cycles. In particular, a Markov switching model is fitted to quarterly and annual real production data. The smoothed probabilities of the Markov states are used as predictive rules to define different phases of cyclical fluctuations of real Brazilian production. The results are compared with different non-parametric rules. All methods implemented yield similar dating and reveal asymmetries across the different states of the Brazilian business and growth cycles, in which slowdowns and recessions are short and abrupt, while high growth phases and expansions are longer and less steep. The resulting dating of the Brazilian economic cycles can be used as a reference point for construction and evaluation of the predictive performance of coincident, leading, or lagging indicators of economic activity. In addition, the filtered probabilities obtained from the Markov switching model allow early recognition of the transition to a new business cycle phase, wich can be used, for example, for evaluation of the adequate strength and timing of countercyclical policies, for reassessment of projected sales or profits by businesses and investors, or for monitoring of inflation pressures. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-03-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402002000100003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71402002000100003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0034-71402002000100003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Fundação Getúlio Vargas |
publisher.none.fl_str_mv |
Fundação Getúlio Vargas |
dc.source.none.fl_str_mv |
Revista Brasileira de Economia v.56 n.1 2002 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_ |
1754115904431456256 |