Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados

This article wishes to discuss some methods that are used to estimate core inflation. Since the Brazilian inflation target policy was adopted, as well as in other countries, core inflation has arisen as a major issue. The "previous exclusion ofitems" and trimmed mean methods are applied t...

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Main Authors: Vera Lucia Fava, Heron Carlos Esvael do Carmo
Format: Article
Language:Portuguese
Published: Universidade de São Paulo 2002-06-01
Series:Economia Aplicada
Subjects:
Online Access:https://www.revistas.usp.br/ecoa/article/view/219912
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author Vera Lucia Fava
Heron Carlos Esvael do Carmo
author_facet Vera Lucia Fava
Heron Carlos Esvael do Carmo
author_sort Vera Lucia Fava
collection DOAJ
description This article wishes to discuss some methods that are used to estimate core inflation. Since the Brazilian inflation target policy was adopted, as well as in other countries, core inflation has arisen as a major issue. The "previous exclusion ofitems" and trimmed mean methods are applied to disaggregated data of IPC-FIPE, from January-1975 through December-2000. Results show thatthe trimmed mean method underestimates IPC-FIPE in the long term, no matter the inflation trend. The previous exclusion of items method is a suitable indicator of the inflation trend only in the period of prices "freezing" It is concluded that Brazilian Monetary Authorities should not adopt those core inflation measures as inflation target.
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spelling doaj.art-3f2eda61181d44ec86332e90c5dfd7562023-12-09T16:15:04ZporUniversidade de São PauloEconomia Aplicada1413-80501980-53302002-06-0163Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregadosVera Lucia Fava0Heron Carlos Esvael do Carmo1Universidade de São Paulo. Faculdade de Economia, Administração e ContabilidadeUniversidade de São Paulo. Faculdade de Economia, Administração e Contabilidade This article wishes to discuss some methods that are used to estimate core inflation. Since the Brazilian inflation target policy was adopted, as well as in other countries, core inflation has arisen as a major issue. The "previous exclusion ofitems" and trimmed mean methods are applied to disaggregated data of IPC-FIPE, from January-1975 through December-2000. Results show thatthe trimmed mean method underestimates IPC-FIPE in the long term, no matter the inflation trend. The previous exclusion of items method is a suitable indicator of the inflation trend only in the period of prices "freezing" It is concluded that Brazilian Monetary Authorities should not adopt those core inflation measures as inflation target. https://www.revistas.usp.br/ecoa/article/view/219912core inflationtrimmed meanprevious exclusion of items method
spellingShingle Vera Lucia Fava
Heron Carlos Esvael do Carmo
Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
Economia Aplicada
core inflation
trimmed mean
previous exclusion of items method
title Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
title_full Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
title_fullStr Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
title_full_unstemmed Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
title_short Núcleo da inflação: análise comparativa dos metódos "média aparada" e "exclusão prévia" aplicados a dados mensais desagregados
title_sort nucleo da inflacao analise comparativa dos metodos media aparada e exclusao previa aplicados a dados mensais desagregados
topic core inflation
trimmed mean
previous exclusion of items method
url https://www.revistas.usp.br/ecoa/article/view/219912
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