Absolute and relative changes in the consumer price index

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This work estimates a dynamic factor decomposition for Peruvian inflation, using monthly disaggregated data from the consumer price index of Metropolitan Lima from January 2000 to December 2019. One of the objectives of macroeconomics is to explain the aggregate sources of changes in the prices of g...

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Detalles Bibliográficos
Autores: Cerda Hernández, José, Fernández Villarreal, Jorge
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Nacional de Ingeniería
Repositorio:Revistas - Universidad Nacional de Ingeniería
Lenguaje:español
inglés
OAI Identifier:oai:oai:revistas.uni.edu.pe:article/1078
Enlace del recurso:https://revistas.uni.edu.pe/index.php/iecos/article/view/1078
Nivel de acceso:acceso abierto
Materia:descomposición factorial
filtro de Kalman
inflación pura
inflación subyacente
IPC
análisis de componentes principales
Factor decomposition
Kalman filter
core inflation
principal components analysis
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spelling Absolute and relative changes in the consumer price indexCambios absolutos y relativos del índice de precios al consumidorCerda Hernández, JoséFernández Villarreal, Jorgedescomposición factorialfiltro de Kalmaninflación purainflación subyacenteIPCanálisis de componentes principalesFactor decompositionKalman filtercore inflationprincipal components analysisThis work estimates a dynamic factor decomposition for Peruvian inflation, using monthly disaggregated data from the consumer price index of Metropolitan Lima from January 2000 to December 2019. One of the objectives of macroeconomics is to explain the aggregate sources of changes in the prices of goods in an economy. This model makes it possible to identify idiosyncratic relative prices, aggregate relative prices and absolute prices, which represent the supply and demand shocks that can appear in an economy. The component common to all items of the CPI serves as an alternative measure of core inflation, and our results show that this component is highly correlated with core inflation published by the BCRP. In general, the results obtained in the present work are robust for different intertemporal dependency structures for the factors considered. This work estimates a dynamic factor decomposition for Peruvian inflation, using monthly disaggregated data from the consumer price index of Metropolitan Lima from January 2000 to December 2019. One of the objectives of macroeconomics is to explain the aggregate sources of changes in the prices of goods in an economy. This model makes it possible to identify idiosyncratic relative prices, aggregate relative prices and absolute prices, which represent the supply and demand shocks that can appear in an economy. The component common to all items of the CPI serves as an alternative measure of core inflation, and our results show that this component is highly correlated with core inflation published by the BCRP. In general, the results obtained in the present work are robust for different intertemporal dependency structures for the factors considered.El presente trabajo estima una descomposición factorial dinámica para la inflación peruana, usando datos desagregados mensuales del índice de precios al consumidor de Lima Metropolitana de Enero de 2000 hasta Diciembre de 2019. Uno de los objetivos de la macroeconomía es explicar las fuentes agregadas de cambios en los precios de los bienes de una economía. Este modelo permite identificar precios relativos idiosincráticos, precios relativos agregados y precios absolutos, que representan los choques de oferta y demanda que pueden aparecer en una economía. La componente común a todos los rubros del IPC sirve como una medida alternativa de la inflación subyacente, y nuestros resultados muestran que esta componente está altamente correlacionada con la inflación subyacente publicada por el BCRP. En general, los resultados obtenidos en el presente trabajo son robustos para diferentes estructuras de dependencia intertemporal para los factores considerados.Universidad Nacional de Ingeniería2020-11-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer ReviewedEvaluado por paresapplication/pdfaudio/mpegaudio/mpeghttps://revistas.uni.edu.pe/index.php/iecos/article/view/107810.21754/iecos.v21i1.1078revista IECOS; Vol. 21 No. 1 (2020); 33-55Revista IECOS; Vol. 21 Núm. 1 (2020); 33-552788-74802961-284510.21754/iecos.v21i1reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspaenghttps://revistas.uni.edu.pe/index.php/iecos/article/view/1078/1655https://revistas.uni.edu.pe/index.php/iecos/article/view/1078/3205https://revistas.uni.edu.pe/index.php/iecos/article/view/1078/3206Derechos de autor 2020 José Cerda Hernández, Jorge Fernández-Villarrealhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/10782025-01-21T15:32:30Z
dc.title.none.fl_str_mv Absolute and relative changes in the consumer price index
Cambios absolutos y relativos del índice de precios al consumidor
title Absolute and relative changes in the consumer price index
spellingShingle Absolute and relative changes in the consumer price index
Cerda Hernández, José
descomposición factorial
filtro de Kalman
inflación pura
inflación subyacente
IPC
análisis de componentes principales
Factor decomposition
Kalman filter
core inflation
principal components analysis
title_short Absolute and relative changes in the consumer price index
title_full Absolute and relative changes in the consumer price index
title_fullStr Absolute and relative changes in the consumer price index
title_full_unstemmed Absolute and relative changes in the consumer price index
title_sort Absolute and relative changes in the consumer price index
dc.creator.none.fl_str_mv Cerda Hernández, José
Fernández Villarreal, Jorge
author Cerda Hernández, José
author_facet Cerda Hernández, José
Fernández Villarreal, Jorge
author_role author
author2 Fernández Villarreal, Jorge
author2_role author
dc.subject.none.fl_str_mv descomposición factorial
filtro de Kalman
inflación pura
inflación subyacente
IPC
análisis de componentes principales
Factor decomposition
Kalman filter
core inflation
principal components analysis
topic descomposición factorial
filtro de Kalman
inflación pura
inflación subyacente
IPC
análisis de componentes principales
Factor decomposition
Kalman filter
core inflation
principal components analysis
description This work estimates a dynamic factor decomposition for Peruvian inflation, using monthly disaggregated data from the consumer price index of Metropolitan Lima from January 2000 to December 2019. One of the objectives of macroeconomics is to explain the aggregate sources of changes in the prices of goods in an economy. This model makes it possible to identify idiosyncratic relative prices, aggregate relative prices and absolute prices, which represent the supply and demand shocks that can appear in an economy. The component common to all items of the CPI serves as an alternative measure of core inflation, and our results show that this component is highly correlated with core inflation published by the BCRP. In general, the results obtained in the present work are robust for different intertemporal dependency structures for the factors considered. This work estimates a dynamic factor decomposition for Peruvian inflation, using monthly disaggregated data from the consumer price index of Metropolitan Lima from January 2000 to December 2019. One of the objectives of macroeconomics is to explain the aggregate sources of changes in the prices of goods in an economy. This model makes it possible to identify idiosyncratic relative prices, aggregate relative prices and absolute prices, which represent the supply and demand shocks that can appear in an economy. The component common to all items of the CPI serves as an alternative measure of core inflation, and our results show that this component is highly correlated with core inflation published by the BCRP. In general, the results obtained in the present work are robust for different intertemporal dependency structures for the factors considered.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-13
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer Reviewed
Evaluado por pares
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uni.edu.pe/index.php/iecos/article/view/1078
10.21754/iecos.v21i1.1078
url https://revistas.uni.edu.pe/index.php/iecos/article/view/1078
identifier_str_mv 10.21754/iecos.v21i1.1078
dc.language.none.fl_str_mv spa
eng
language spa
eng
dc.relation.none.fl_str_mv https://revistas.uni.edu.pe/index.php/iecos/article/view/1078/1655
https://revistas.uni.edu.pe/index.php/iecos/article/view/1078/3205
https://revistas.uni.edu.pe/index.php/iecos/article/view/1078/3206
dc.rights.none.fl_str_mv Derechos de autor 2020 José Cerda Hernández, Jorge Fernández-Villarreal
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2020 José Cerda Hernández, Jorge Fernández-Villarreal
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
audio/mpeg
audio/mpeg
dc.publisher.none.fl_str_mv Universidad Nacional de Ingeniería
publisher.none.fl_str_mv Universidad Nacional de Ingeniería
dc.source.none.fl_str_mv revista IECOS; Vol. 21 No. 1 (2020); 33-55
Revista IECOS; Vol. 21 Núm. 1 (2020); 33-55
2788-7480
2961-2845
10.21754/iecos.v21i1
reponame:Revistas - Universidad Nacional de Ingeniería
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