A time-varying markov-switching model for economic growth

Detalhes bibliográficos
Autor(a) principal: Morier, Bruno
Data de Publicação: 2011
Outros Autores: Teles, Vladimir Kuhl
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: http://hdl.handle.net/10438/8797
Resumo: This paper investigates economic growth’s pattern of variation across and within countries using a Time-Varying Transition Matrix Markov-Switching Approach. The model developed follows the approach of Pritchett (2003) and explains the dynamics of growth based on a collection of different states, each of which has a sub-model and a growth pattern, by which countries oscillate over time. The transition matrix among the different states varies over time, depending on the conditioning variables of each country, with a linear dynamic for each state. We develop a generalization of the Diebold’s EM Algorithm and estimate an example model in a panel with a transition matrix conditioned on the quality of the institutions and the level of investment. We found three states of growth: stable growth, miraculous growth, and stagnation. The results show that the quality of the institutions is an important determinant of long-term growth, whereas the level of investment has varying roles in that it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or poor-quality institutions.
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spelling Morier, BrunoTeles, Vladimir KuhlEscolas::EESP2011-11-30T19:52:21Z2011-11-30T19:52:21Z2011-11-30TD 305http://hdl.handle.net/10438/8797This paper investigates economic growth’s pattern of variation across and within countries using a Time-Varying Transition Matrix Markov-Switching Approach. The model developed follows the approach of Pritchett (2003) and explains the dynamics of growth based on a collection of different states, each of which has a sub-model and a growth pattern, by which countries oscillate over time. The transition matrix among the different states varies over time, depending on the conditioning variables of each country, with a linear dynamic for each state. We develop a generalization of the Diebold’s EM Algorithm and estimate an example model in a panel with a transition matrix conditioned on the quality of the institutions and the level of investment. We found three states of growth: stable growth, miraculous growth, and stagnation. The results show that the quality of the institutions is an important determinant of long-term growth, whereas the level of investment has varying roles in that it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or poor-quality institutions.porTextos para discussão EESP ; TD 305A time-varying markov-switching model for economic growthinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEconomiaDesenvolvimento econômicoDesenvolvimento econômico - Modelos matemáticosreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALTD 305 - Bruno Morier e Vladimir Kuhl Teles.pdfTD 305 - Bruno Morier e Vladimir Kuhl Teles.pdfapplication/pdf2011927https://repositorio.fgv.br/bitstreams/910d31d4-4264-4f58-b9ec-7c1a3d18b2f1/download8fe5ab4af5ca3a63126cc7f0962ef9f1MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv A time-varying markov-switching model for economic growth
title A time-varying markov-switching model for economic growth
spellingShingle A time-varying markov-switching model for economic growth
Morier, Bruno
Economia
Desenvolvimento econômico
Desenvolvimento econômico - Modelos matemáticos
title_short A time-varying markov-switching model for economic growth
title_full A time-varying markov-switching model for economic growth
title_fullStr A time-varying markov-switching model for economic growth
title_full_unstemmed A time-varying markov-switching model for economic growth
title_sort A time-varying markov-switching model for economic growth
author Morier, Bruno
author_facet Morier, Bruno
Teles, Vladimir Kuhl
author_role author
author2 Teles, Vladimir Kuhl
author2_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EESP
dc.contributor.author.fl_str_mv Morier, Bruno
Teles, Vladimir Kuhl
dc.subject.area.por.fl_str_mv Economia
topic Economia
Desenvolvimento econômico
Desenvolvimento econômico - Modelos matemáticos
dc.subject.bibliodata.por.fl_str_mv Desenvolvimento econômico
Desenvolvimento econômico - Modelos matemáticos
description This paper investigates economic growth’s pattern of variation across and within countries using a Time-Varying Transition Matrix Markov-Switching Approach. The model developed follows the approach of Pritchett (2003) and explains the dynamics of growth based on a collection of different states, each of which has a sub-model and a growth pattern, by which countries oscillate over time. The transition matrix among the different states varies over time, depending on the conditioning variables of each country, with a linear dynamic for each state. We develop a generalization of the Diebold’s EM Algorithm and estimate an example model in a panel with a transition matrix conditioned on the quality of the institutions and the level of investment. We found three states of growth: stable growth, miraculous growth, and stagnation. The results show that the quality of the institutions is an important determinant of long-term growth, whereas the level of investment has varying roles in that it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or poor-quality institutions.
publishDate 2011
dc.date.accessioned.fl_str_mv 2011-11-30T19:52:21Z
dc.date.available.fl_str_mv 2011-11-30T19:52:21Z
dc.date.issued.fl_str_mv 2011-11-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.sici.none.fl_str_mv TD 305
identifier_str_mv TD 305
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dc.language.iso.fl_str_mv por
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dc.relation.ispartofseries.por.fl_str_mv Textos para discussão EESP ; TD 305
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