INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)

Detalhes bibliográficos
Autor(a) principal: Cruz, Italo Spinelli da
Data de Publicação: 2015
Outros Autores: Moura, Fábio Rodrigues de, Santana, José Ricardo de, Ribeiro, Luiz Carlos de Santana
Tipo de documento: Artigo
Idioma: por
Título da fonte: Análise Econômica (Online)
Texto Completo: https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/39198
Resumo: This paper aims to assess the significance of a set of economic, social and human capital variables found in the literature as influencing factors of Brazilian states´ GDP per capita between 1991 and 2009. In this regard, we estimated a panel data by the method of Feasible Generalized Least Squares (FGLS), proposed by Parks (1967) and the method of Panel Corrected Standard Errors (PCSE), developed by Beck and Katz (1995). The FGLS and PCSE methods produced good estimates for the coefficients, being all statistically significant and with expected sign. The results corroborate the findings of the literature.
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spelling INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)FATORES DE INFLUÊNCIA DO PIB PER CAPITA DOS ESTADOS BRASILEIROS: UMA ANÁLISE DE PAINEL COM O USO DOS MÉTODOS PCSE E FGLS (1991-2009)Fatores de influência do PIB per capitaFGLSPCSE.C23O47.Influence factors of per capita GDPFGLSPCSE.C23O47.This paper aims to assess the significance of a set of economic, social and human capital variables found in the literature as influencing factors of Brazilian states´ GDP per capita between 1991 and 2009. In this regard, we estimated a panel data by the method of Feasible Generalized Least Squares (FGLS), proposed by Parks (1967) and the method of Panel Corrected Standard Errors (PCSE), developed by Beck and Katz (1995). The FGLS and PCSE methods produced good estimates for the coefficients, being all statistically significant and with expected sign. The results corroborate the findings of the literature.Este trabalho tem como objetivo avaliar a significância de um conjunto de variáveis econômicas, sociais e de capital humano, encontradas na literatura, como fatores de influência do PIB per capita dos estados brasileiros entre os anos de 1991 e 2009. Para tanto, estima-se um painel de dados por meio do método Feasible Generalized Least Squares (FGLS), proposto por Parks (1967), e do método Panel Corrected Standard Errors (PCSE), desenvolvido por Beck e Katz (1995). Os métodos FGLS e PCSE produzem boas estimativas para os coeficientes, sendo todos significativos estatisticamente e com sinal esperado. Os resultados encontrados corroboram os achados da literatura.UFRGS2015-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/3919810.22456/2176-5456.39198Análise Econômica; Vol. 33 No. 63 (2015): março de 2015Análise Econômica; v. 33 n. 63 (2015): março de 20152176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/39198/33369Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessCruz, Italo Spinelli daMoura, Fábio Rodrigues deSantana, José Ricardo deRibeiro, Luiz Carlos de Santana2015-04-01T02:54:01Zoai:seer.ufrgs.br:article/39198Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2015-04-01T02:54:01Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
FATORES DE INFLUÊNCIA DO PIB PER CAPITA DOS ESTADOS BRASILEIROS: UMA ANÁLISE DE PAINEL COM O USO DOS MÉTODOS PCSE E FGLS (1991-2009)
title INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
spellingShingle INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
Cruz, Italo Spinelli da
Fatores de influência do PIB per capita
FGLS
PCSE.
C23
O47.
Influence factors of per capita GDP
FGLS
PCSE.
C23
O47.
title_short INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
title_full INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
title_fullStr INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
title_full_unstemmed INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
title_sort INFLUENTIAL FACTORS OF BRAZILIAN STATES' GDP PER CAPITA: A PANEL DATA ANALYSIS THROUGH PCSE AND FGLS METHODS (1991-2009)
author Cruz, Italo Spinelli da
author_facet Cruz, Italo Spinelli da
Moura, Fábio Rodrigues de
Santana, José Ricardo de
Ribeiro, Luiz Carlos de Santana
author_role author
author2 Moura, Fábio Rodrigues de
Santana, José Ricardo de
Ribeiro, Luiz Carlos de Santana
author2_role author
author
author
dc.contributor.author.fl_str_mv Cruz, Italo Spinelli da
Moura, Fábio Rodrigues de
Santana, José Ricardo de
Ribeiro, Luiz Carlos de Santana
dc.subject.por.fl_str_mv Fatores de influência do PIB per capita
FGLS
PCSE.
C23
O47.
Influence factors of per capita GDP
FGLS
PCSE.
C23
O47.
topic Fatores de influência do PIB per capita
FGLS
PCSE.
C23
O47.
Influence factors of per capita GDP
FGLS
PCSE.
C23
O47.
description This paper aims to assess the significance of a set of economic, social and human capital variables found in the literature as influencing factors of Brazilian states´ GDP per capita between 1991 and 2009. In this regard, we estimated a panel data by the method of Feasible Generalized Least Squares (FGLS), proposed by Parks (1967) and the method of Panel Corrected Standard Errors (PCSE), developed by Beck and Katz (1995). The FGLS and PCSE methods produced good estimates for the coefficients, being all statistically significant and with expected sign. The results corroborate the findings of the literature.
publishDate 2015
dc.date.none.fl_str_mv 2015-03-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/39198
10.22456/2176-5456.39198
url https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/39198
identifier_str_mv 10.22456/2176-5456.39198
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/39198/33369
dc.rights.driver.fl_str_mv Copyright (c) 2019 Análise Econômica
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Análise Econômica
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRGS
publisher.none.fl_str_mv UFRGS
dc.source.none.fl_str_mv Análise Econômica; Vol. 33 No. 63 (2015): março de 2015
Análise Econômica; v. 33 n. 63 (2015): março de 2015
2176-5456
0102-9924
reponame:Análise Econômica (Online)
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Análise Econômica (Online)
collection Análise Econômica (Online)
repository.name.fl_str_mv Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv ||rae@ufrgs.br
_version_ 1799766267431747584

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