Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2010 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/6971 |
Resumo: | This paper estimates the price elasticity demand for steel in Brazil from aggregated and disaggregated data of the steel industry. The results using disaggregated panel data suggest the existence of an aggregation bias in the estimation using aggregated data, and these bias would underestimate the price elasticity of the steel sector. In order to compare the relations between the price elasticities of long and short term, dynamic heterogeneous panel were estimated by Mean Group and Pooled Mean Group estimators. It’s important to highlight that, according to the author knowledge, this is the first study to use panel data estimation for demand price elasticity to steel products in Brazil, in a manner to control for the heterogeneity across different steel products. |
id |
FGV_9f501594114fc0fdef6c7d58d39dd9b3 |
---|---|
oai_identifier_str |
oai:repositorio.fgv.br:10438/6971 |
network_acronym_str |
FGV |
network_name_str |
Repositório Institucional do FGV (FGV Repositório Digital) |
repository_id_str |
3974 |
spelling |
Lavorato, Marcus Vinícius LealEscolas::EPGEFGVPessôa, Samuel de AbreuMatos, Silvia Maria2010-08-30T12:23:32Z2010-08-30T12:23:32Z2010-05-13LAVORATO, Marcus Vinícius Leal. Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2010.http://hdl.handle.net/10438/6971This paper estimates the price elasticity demand for steel in Brazil from aggregated and disaggregated data of the steel industry. The results using disaggregated panel data suggest the existence of an aggregation bias in the estimation using aggregated data, and these bias would underestimate the price elasticity of the steel sector. In order to compare the relations between the price elasticities of long and short term, dynamic heterogeneous panel were estimated by Mean Group and Pooled Mean Group estimators. It’s important to highlight that, according to the author knowledge, this is the first study to use panel data estimation for demand price elasticity to steel products in Brazil, in a manner to control for the heterogeneity across different steel products.Essa dissertação apresenta estimativas para a elasticidade-preço da demanda por aço no Brasil, a partir de dados agregados e desagregados da indústria siderúrgica. Os resultados das estimativas a partir do painel com dados desagregados sugerem que existe um viés de agregação nas estimativas já realizadas a partir de dados agregados, e esse viés subestimaria a elasticidade-preço do setor siderúrgico. Com a finalidade de comparar as relações entre as elasticidades-preços de curto e longo prazo foram estimados painéis heterogêneos dinâmicos, através de estimadores Mean Group (MG) e Pooled Mean Group (PMG). É importante ressaltar que, de acordo com o conhecimento do autor, este é o primeiro estudo a usar estimação em painel para estimação da elasticidade-preço da demanda por produtos siderúrgicos no Brasil, dessa forma, controlando a estimativa pela heterogeneidade entre os tipos de aço.porTodo cuidado foi dispensado para respeitar os direitos autorais deste trabalho. Entretanto, caso esta obra aqui depositada seja protegida por direitos autorais externos a esta instituição, contamos com a compreensão do autor e solicitamos que o mesmo faça contato através do Fale Conosco para que possamos tomar as providências cabíveisinfo:eu-repo/semantics/openAccessIron and steel industryPanel dataPrice elasticityIndústria siderúrgicaDados em painelElasticidade-preçoEconomiaFinançasIndústria siderúrgicaOferta e procuraPreçosElasticidade (Economia)Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVORIGINALDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdfDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdfapplication/pdf529873https://repositorio.fgv.br/bitstreams/683f42cb-c2c9-4201-a207-b4b6817fe627/download9bde179ef3bdce3a4e56d0b55339d4cdMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-84712https://repositorio.fgv.br/bitstreams/5e944415-9000-4ab3-b191-811c59260672/download4dea6f7333914d9740702a2deb2db217MD52TEXTDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdf.txtDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdf.txtExtracted texttext/plain83213https://repositorio.fgv.br/bitstreams/19a41ecc-426d-46e9-8b2a-3c1b5ae93d01/download3c5a79840a214f6d351a88192e5ed8a0MD58THUMBNAILDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdf.jpgDissertação Mestrado Profissional - Marcus Lavorato - Versão Finalx.pdf.jpgGenerated Thumbnailimage/jpeg2992https://repositorio.fgv.br/bitstreams/72040fc2-9398-4739-82b6-0f9efd815cc9/download33db0dcc7b73610949090b66c715131eMD5910438/69712023-11-09 08:21:03.528open.accessoai:repositorio.fgv.br:10438/6971https://repositorio.fgv.brRepositório InstitucionalPRIhttp://bibliotecadigital.fgv.br/dspace-oai/requestopendoar:39742023-11-09T08:21:03Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV)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 |
dc.title.por.fl_str_mv |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
title |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
spellingShingle |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil Lavorato, Marcus Vinícius Leal Iron and steel industry Panel data Price elasticity Indústria siderúrgica Dados em painel Elasticidade-preço Economia Finanças Indústria siderúrgica Oferta e procura Preços Elasticidade (Economia) |
title_short |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
title_full |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
title_fullStr |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
title_full_unstemmed |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
title_sort |
Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil |
author |
Lavorato, Marcus Vinícius Leal |
author_facet |
Lavorato, Marcus Vinícius Leal |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EPGE |
dc.contributor.affiliation.none.fl_str_mv |
FGV |
dc.contributor.author.fl_str_mv |
Lavorato, Marcus Vinícius Leal |
dc.contributor.advisor1.fl_str_mv |
Pessôa, Samuel de Abreu Matos, Silvia Maria |
contributor_str_mv |
Pessôa, Samuel de Abreu Matos, Silvia Maria |
dc.subject.eng.fl_str_mv |
Iron and steel industry Panel data Price elasticity |
topic |
Iron and steel industry Panel data Price elasticity Indústria siderúrgica Dados em painel Elasticidade-preço Economia Finanças Indústria siderúrgica Oferta e procura Preços Elasticidade (Economia) |
dc.subject.por.fl_str_mv |
Indústria siderúrgica Dados em painel Elasticidade-preço |
dc.subject.area.por.fl_str_mv |
Economia Finanças |
dc.subject.bibliodata.por.fl_str_mv |
Indústria siderúrgica Oferta e procura Preços Elasticidade (Economia) |
description |
This paper estimates the price elasticity demand for steel in Brazil from aggregated and disaggregated data of the steel industry. The results using disaggregated panel data suggest the existence of an aggregation bias in the estimation using aggregated data, and these bias would underestimate the price elasticity of the steel sector. In order to compare the relations between the price elasticities of long and short term, dynamic heterogeneous panel were estimated by Mean Group and Pooled Mean Group estimators. It’s important to highlight that, according to the author knowledge, this is the first study to use panel data estimation for demand price elasticity to steel products in Brazil, in a manner to control for the heterogeneity across different steel products. |
publishDate |
2010 |
dc.date.accessioned.fl_str_mv |
2010-08-30T12:23:32Z |
dc.date.available.fl_str_mv |
2010-08-30T12:23:32Z |
dc.date.issued.fl_str_mv |
2010-05-13 |
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 |
LAVORATO, Marcus Vinícius Leal. Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2010. |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10438/6971 |
identifier_str_mv |
LAVORATO, Marcus Vinícius Leal. Estimativas para a elasticidade-preço da demanda por produtos siderúrgicos no Brasil. Dissertação (Mestrado em Finanças e Economia Empresarial) - Escola de Pós-Graduação em Economia, Fundação Getúlio Vargas - FGV, Rio de Janeiro, 2010. |
url |
http://hdl.handle.net/10438/6971 |
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/683f42cb-c2c9-4201-a207-b4b6817fe627/download https://repositorio.fgv.br/bitstreams/5e944415-9000-4ab3-b191-811c59260672/download https://repositorio.fgv.br/bitstreams/19a41ecc-426d-46e9-8b2a-3c1b5ae93d01/download https://repositorio.fgv.br/bitstreams/72040fc2-9398-4739-82b6-0f9efd815cc9/download |
bitstream.checksum.fl_str_mv |
9bde179ef3bdce3a4e56d0b55339d4cd 4dea6f7333914d9740702a2deb2db217 3c5a79840a214f6d351a88192e5ed8a0 33db0dcc7b73610949090b66c715131e |
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 |
|
_version_ |
1802749847097311232 |