Analysis of public expenditure on cancer treatment in Minas Gerais

Detalhes bibliográficos
Autor(a) principal: Constantino, Michel
Data de Publicação: 2019
Outros Autores: Mendes, Dany Rafael Fonseca, Moreira, Tito Belchior Silva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Científica Hermes
Texto Completo: https://revistahermes.com.br/index.php/hermes1/article/view/446
Resumo: The present article aimed to analyze the behavior and prediction of the inflation rate in Brazil between 2007-2017. Economic indicators directly influence the strategic decisions of public and private companies, in this context it is fundamental to evaluate the data and try to predict the future behavior of these rates. The estimated results with the SARIMA model allowed to help future decisions, since its efficiency follows a 95% success in the trend of the next years for the Brazilian inflation rate. The forecast estimate using the seasonal model predicts an increase in the inflation rate for the coming years, following a probable resumption of growth in Brazil.
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spelling Analysis of public expenditure on cancer treatment in Minas GeraisAnálise e previsão da taxa de inflação no Brasil: uma abordagem via modelo SARIMAinflaçãoindicadoresestratégiaprevisãoInflationIndicatorsStrategyForecasting.The present article aimed to analyze the behavior and prediction of the inflation rate in Brazil between 2007-2017. Economic indicators directly influence the strategic decisions of public and private companies, in this context it is fundamental to evaluate the data and try to predict the future behavior of these rates. The estimated results with the SARIMA model allowed to help future decisions, since its efficiency follows a 95% success in the trend of the next years for the Brazilian inflation rate. The forecast estimate using the seasonal model predicts an increase in the inflation rate for the coming years, following a probable resumption of growth in Brazil.O presente artigo teve por objetivo analisar o comportamento, entre 2007 e 2017, e a previsão da taxa de inflação no Brasil. Os indicadores econômicos influenciam diretamente nas decisões estratégicas das empresas públicas e privadas, e, neste contexto, é fundamental avaliar os dados, na tentativa de prever os comportamentos futuros de tais números. Os resultados estimados por meio do Modelo SARIMA podem auxiliar em futuras eliberações, pois, para a taxa de inflação brasileira, sua eficiência aponta 95% de acerto na tendência relativa aos próximos anos. A estimativa de previsão, utilizando o modelo sazonal, prevê um aumento da taxa de inflação para os próximos anos, seguindo uma provável retomada de crescimento do Brasil. Fernando de Almeida Santos2019-05-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistahermes.com.br/index.php/hermes1/article/view/44610.21710/rch.v24i0.446Revista Científica Hermes; v. 24 (2019): maio a agosto; 244-257Revista Cientí­fica Hermes ; Vol. 24 (2019): maio a agosto; 244-257Revista Científica Hermes ; Vol. 24 (2019): maio a agosto; 244-2572175-055610.21710/rch.v24i0reponame:Revista Científica Hermesinstname:Instituto Paulista de Ensino (FIPEN)instacron:FIPENporhttps://revistahermes.com.br/index.php/hermes1/article/view/446/pdfCopyright (c) 2019 Michel Constantino, Dany Rafael Fonseca Mendes, Tito Belchior Silva Moreirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessConstantino, MichelMendes, Dany Rafael FonsecaMoreira, Tito Belchior Silva2023-01-25T03:40:38Zoai:ojs.revistahermes.com.br:article/446Revistahttp://www.fipen.edu.br/hermes1/index.php/hermes1PUBhttp://www.fipen.edu.br/hermes1/index.php/hermes1/oai||hermes@fipen.edu.br2175-05562175-0556opendoar:2023-01-25T03:40:38Revista Científica Hermes - Instituto Paulista de Ensino (FIPEN)false
dc.title.none.fl_str_mv Analysis of public expenditure on cancer treatment in Minas Gerais
Análise e previsão da taxa de inflação no Brasil: uma abordagem via modelo SARIMA
title Analysis of public expenditure on cancer treatment in Minas Gerais
spellingShingle Analysis of public expenditure on cancer treatment in Minas Gerais
Constantino, Michel
inflação
indicadores
estratégia
previsão
Inflation
Indicators
Strategy
Forecasting.
title_short Analysis of public expenditure on cancer treatment in Minas Gerais
title_full Analysis of public expenditure on cancer treatment in Minas Gerais
title_fullStr Analysis of public expenditure on cancer treatment in Minas Gerais
title_full_unstemmed Analysis of public expenditure on cancer treatment in Minas Gerais
title_sort Analysis of public expenditure on cancer treatment in Minas Gerais
author Constantino, Michel
author_facet Constantino, Michel
Mendes, Dany Rafael Fonseca
Moreira, Tito Belchior Silva
author_role author
author2 Mendes, Dany Rafael Fonseca
Moreira, Tito Belchior Silva
author2_role author
author
dc.contributor.author.fl_str_mv Constantino, Michel
Mendes, Dany Rafael Fonseca
Moreira, Tito Belchior Silva
dc.subject.por.fl_str_mv inflação
indicadores
estratégia
previsão
Inflation
Indicators
Strategy
Forecasting.
topic inflação
indicadores
estratégia
previsão
Inflation
Indicators
Strategy
Forecasting.
description The present article aimed to analyze the behavior and prediction of the inflation rate in Brazil between 2007-2017. Economic indicators directly influence the strategic decisions of public and private companies, in this context it is fundamental to evaluate the data and try to predict the future behavior of these rates. The estimated results with the SARIMA model allowed to help future decisions, since its efficiency follows a 95% success in the trend of the next years for the Brazilian inflation rate. The forecast estimate using the seasonal model predicts an increase in the inflation rate for the coming years, following a probable resumption of growth in Brazil.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-31
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://revistahermes.com.br/index.php/hermes1/article/view/446
10.21710/rch.v24i0.446
url https://revistahermes.com.br/index.php/hermes1/article/view/446
identifier_str_mv 10.21710/rch.v24i0.446
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistahermes.com.br/index.php/hermes1/article/view/446/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2019 Michel Constantino, Dany Rafael Fonseca Mendes, Tito Belchior Silva Moreira
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Michel Constantino, Dany Rafael Fonseca Mendes, Tito Belchior Silva Moreira
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Fernando de Almeida Santos
publisher.none.fl_str_mv Fernando de Almeida Santos
dc.source.none.fl_str_mv Revista Científica Hermes; v. 24 (2019): maio a agosto; 244-257
Revista Cientí­fica Hermes ; Vol. 24 (2019): maio a agosto; 244-257
Revista Científica Hermes ; Vol. 24 (2019): maio a agosto; 244-257
2175-0556
10.21710/rch.v24i0
reponame:Revista Científica Hermes
instname:Instituto Paulista de Ensino (FIPEN)
instacron:FIPEN
instname_str Instituto Paulista de Ensino (FIPEN)
instacron_str FIPEN
institution FIPEN
reponame_str Revista Científica Hermes
collection Revista Científica Hermes
repository.name.fl_str_mv Revista Científica Hermes - Instituto Paulista de Ensino (FIPEN)
repository.mail.fl_str_mv ||hermes@fipen.edu.br
_version_ 1798945178619215872

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