Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros

Detalhes bibliográficos
Autor(a) principal: Bezerra, Itaiguara de Oliveira
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/13592
Resumo: A Non-Inflationary Rate of Capacity Utilisation (NIRCU) for the Brazilian Economy has been developed based on microdata from the Manufacturing Survey and the Producer Price Index (IPA-M) series, both provided by the Getulio Vargas Foundation (FGV). Three types of NIRCU were evaluated: Survey NIRCU, Coincident NIRCU and Leading NIRCU. The first, using survey data alone aims at verifying the absence of inflationary pressure when companies declare in the Survey not to raise prices within the next three months and that their number of shifts equals the industry average. By matching the companies’ declarations with the Survey and the IPA-M, the other two NIRCUs check if the variation of the respective price indexes reflect the companies' assertion not to change their prices. The difference between the two latter approaches is that the first, the Coincident NIRCU, draws on Survey and price index data of the same period, whereas the Leading NIRCU verifies the price indexes of the quarter after the Survey. The effiency of these inflation pressure indicators was assessed by introducing the different NIRCU output gaps into the Phillips Curve framework and applying the Ordinary Least Square Method (OLS). The Leading NIRCU produced the worst results, while Survey and Coincident NIRCU performed well, especially the latter. They are comparable to most traditional output gap estimates.
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spelling Bezerra, Itaiguara de OliveiraEscolas::EPGEFGVCavalcanti, Ricardo de OliveiraSantos, Rafael ChavesPolydoro, Angelo Luiz Rocha2015-03-27T17:49:13Z2015-03-27T17:49:13Z2014-12-23BEZERRA, Itaiguara de Oliveira. Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014.https://hdl.handle.net/10438/13592A Non-Inflationary Rate of Capacity Utilisation (NIRCU) for the Brazilian Economy has been developed based on microdata from the Manufacturing Survey and the Producer Price Index (IPA-M) series, both provided by the Getulio Vargas Foundation (FGV). Three types of NIRCU were evaluated: Survey NIRCU, Coincident NIRCU and Leading NIRCU. The first, using survey data alone aims at verifying the absence of inflationary pressure when companies declare in the Survey not to raise prices within the next three months and that their number of shifts equals the industry average. By matching the companies’ declarations with the Survey and the IPA-M, the other two NIRCUs check if the variation of the respective price indexes reflect the companies' assertion not to change their prices. The difference between the two latter approaches is that the first, the Coincident NIRCU, draws on Survey and price index data of the same period, whereas the Leading NIRCU verifies the price indexes of the quarter after the Survey. The effiency of these inflation pressure indicators was assessed by introducing the different NIRCU output gaps into the Phillips Curve framework and applying the Ordinary Least Square Method (OLS). The Leading NIRCU produced the worst results, while Survey and Coincident NIRCU performed well, especially the latter. They are comparable to most traditional output gap estimates.Esta dissertação baseia-se na criação de uma taxa não inflacionária da capacidade utilizada (NIRCU) para economia brasileira, utilizando microdados da Sondagem da Indústria de Transformação e Índice de Preços ao Produtor Amplo – M (IPA-M), pesquisas desenvolvidas pela FGV/IBRE. Foram criadas três taxas: NIRCU Sondagem, NIRCU Coincidente e NIRCU Antecedente. A primeira utiliza apenas dados da sondagem e a ideia é verificar que não há pressão inflacionária quando as empresas informam para sondagem que não irão variar os seus preços para os próximos três meses e que o número de turnos trabalhado é igual à média do setor. Já as demais, cruzam as informações das empresas que respondem tanto a Sondagem da Indústria de Transformação quanto no IPA-M e verifica se as que informam que não irão alterar os seus preços nos próximos três meses se concretiza quando comparados às variações do índice. A diferença entre as duas últimas abordagens é que a primeira, NIRCU Coincidente, verifica no mesmo período e a outra, NIRCU Antecedente, no trimestre seguinte. A forma encontrada para verificar a eficácia dos indicadores em mensurar a existência de pressão inflacionária foi inserir os diferentes hiatos de produto das NIRCU no modelo de Curva de Phillips, usando a metodologia de Mínimos Quadrados Ordinários (MQO). De acordo com as estimativas, a NIRCU Antecedente foi a única das três que não apresentou um bom desempenho no resultado; as NIRCU Sondagem e Coincidente tiveram uma performance muita boa, principalmente a última. Ou seja, esses dois indicadores tiveram um resultado tão bom quanto as mais tradicionais medidas de hiato de produto.porInflationCapacity utilisationPhillips curveInflaçãoCapacidade utilizadaNIRCUCurva de PhillipsEconomiaInflação - BrasilPhillips, Curva deBrasil - Condições econômicasTaxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileirosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALItaiguara Bezerra 2014.pdfItaiguara Bezerra 2014.pdfPDFapplication/pdf1060573https://repositorio.fgv.br/bitstreams/cbfb67ca-5689-476d-8c64-1c62102eeac7/download40718c7a0634b63bb8605a3f5008d76eMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-84707https://repositorio.fgv.br/bitstreams/604cfc3d-2ab9-4273-a7d5-15d038b2ddd8/downloaddfb340242cced38a6cca06c627998fa1MD52TEXTItaiguara 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
dc.title.por.fl_str_mv Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
title Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
spellingShingle Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
Bezerra, Itaiguara de Oliveira
Inflation
Capacity utilisation
Phillips curve
Inflação
Capacidade utilizada
NIRCU
Curva de Phillips
Economia
Inflação - Brasil
Phillips, Curva de
Brasil - Condições econômicas
title_short Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
title_full Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
title_fullStr Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
title_full_unstemmed Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
title_sort Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros
author Bezerra, Itaiguara de Oliveira
author_facet Bezerra, Itaiguara de Oliveira
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EPGE
dc.contributor.affiliation.none.fl_str_mv FGV
dc.contributor.member.none.fl_str_mv Cavalcanti, Ricardo de Oliveira
Santos, Rafael Chaves
dc.contributor.author.fl_str_mv Bezerra, Itaiguara de Oliveira
dc.contributor.advisor1.fl_str_mv Polydoro, Angelo Luiz Rocha
contributor_str_mv Polydoro, Angelo Luiz Rocha
dc.subject.eng.fl_str_mv Inflation
Capacity utilisation
Phillips curve
topic Inflation
Capacity utilisation
Phillips curve
Inflação
Capacidade utilizada
NIRCU
Curva de Phillips
Economia
Inflação - Brasil
Phillips, Curva de
Brasil - Condições econômicas
dc.subject.por.fl_str_mv Inflação
Capacidade utilizada
NIRCU
Curva de Phillips
dc.subject.area.por.fl_str_mv Economia
dc.subject.bibliodata.por.fl_str_mv Inflação - Brasil
Phillips, Curva de
Brasil - Condições econômicas
description A Non-Inflationary Rate of Capacity Utilisation (NIRCU) for the Brazilian Economy has been developed based on microdata from the Manufacturing Survey and the Producer Price Index (IPA-M) series, both provided by the Getulio Vargas Foundation (FGV). Three types of NIRCU were evaluated: Survey NIRCU, Coincident NIRCU and Leading NIRCU. The first, using survey data alone aims at verifying the absence of inflationary pressure when companies declare in the Survey not to raise prices within the next three months and that their number of shifts equals the industry average. By matching the companies’ declarations with the Survey and the IPA-M, the other two NIRCUs check if the variation of the respective price indexes reflect the companies' assertion not to change their prices. The difference between the two latter approaches is that the first, the Coincident NIRCU, draws on Survey and price index data of the same period, whereas the Leading NIRCU verifies the price indexes of the quarter after the Survey. The effiency of these inflation pressure indicators was assessed by introducing the different NIRCU output gaps into the Phillips Curve framework and applying the Ordinary Least Square Method (OLS). The Leading NIRCU produced the worst results, while Survey and Coincident NIRCU performed well, especially the latter. They are comparable to most traditional output gap estimates.
publishDate 2014
dc.date.issued.fl_str_mv 2014-12-23
dc.date.accessioned.fl_str_mv 2015-03-27T17:49:13Z
dc.date.available.fl_str_mv 2015-03-27T17:49:13Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv BEZERRA, Itaiguara de Oliveira. Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014.
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10438/13592
identifier_str_mv BEZERRA, Itaiguara de Oliveira. Taxa não inflacionária da capacidade utilizada: uma abordagem usando microdados brasileiros. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2014.
url https://hdl.handle.net/10438/13592
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 do FGV (FGV Repositório Digital)
instname:Fundação Getulio Vargas (FGV)
instacron:FGV
instname_str Fundação Getulio Vargas (FGV)
instacron_str FGV
institution FGV
reponame_str Repositório Institucional do FGV (FGV Repositório Digital)
collection Repositório Institucional do FGV (FGV Repositório Digital)
bitstream.url.fl_str_mv https://repositorio.fgv.br/bitstreams/cbfb67ca-5689-476d-8c64-1c62102eeac7/download
https://repositorio.fgv.br/bitstreams/604cfc3d-2ab9-4273-a7d5-15d038b2ddd8/download
https://repositorio.fgv.br/bitstreams/9fcda891-769c-4056-9718-65f67906065d/download
https://repositorio.fgv.br/bitstreams/bba8a481-6ee4-4774-9ae9-581a6b944709/download
bitstream.checksum.fl_str_mv 40718c7a0634b63bb8605a3f5008d76e
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ce2ee7e6652d5c153185270b1546a8f4
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bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)
repository.mail.fl_str_mv
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