Advanced global indicator of short and long term for the economy of Cauca 1960-2014

This paper proposes to build a leading or advanced indicator to the economy of Cauca department, through three alternative methodologies that depart from the traditional methodology based on National Bureau of Economic Research (NBER). Three indicators are proposed to achieve this, both short and lo...

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Tipo de recurso:
http://purl.org/coar/resource_type/c_6787
Fecha de publicación:
2016
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/11952
Acceso en línea:
https://revistas.uptc.edu.co/index.php/cenes/article/view/5231
https://repositorio.uptc.edu.co/handle/001/11952
Palabra clave:
leading indicator
business cycles
Kalman filter
principal components
regional economy
indicador líder
ciclos económicos
filtro de Kalman
componentes principales
economía regional.
Rights
License
http://creativecommons.org/licenses/by-nc-sa/4.0
id REPOUPTC2_52c67a9526380a09bbf3c6baa9f7aae7
oai_identifier_str oai:repositorio.uptc.edu.co:001/11952
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network_name_str RiUPTC: Repositorio Institucional UPTC
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spelling 2016-07-262024-07-05T18:44:36Z2024-07-05T18:44:36Zhttps://revistas.uptc.edu.co/index.php/cenes/article/view/523110.19053/22565779.5231https://repositorio.uptc.edu.co/handle/001/11952This paper proposes to build a leading or advanced indicator to the economy of Cauca department, through three alternative methodologies that depart from the traditional methodology based on National Bureau of Economic Research (NBER). Three indicators are proposed to achieve this, both short and long term, under the method of linear decomposition of the cycle, another synthetic overall indicator based on the methodology of the main components and finally another using the Kalman filter algorithm. The results show, among other things, that the indicator on Kalman scenario exceeds in statistic robustness the other two indicators and predicts a positive economic growth for the region in the coming years.Este documento propone la construcción de un indicador líder o adelantado para la economía del departamento del Cauca, a través de tres metodologías alternativas, distantes de las tradicionalmente basadas en la metodología National Bureau of Economic Research (NBER). Para lograrlo, se utilizan tres indicadores de corto y largo plazo, bajo el método de descomposición lineal del ciclo, otro indicador global sintético basado en la metodología de los componentes principales y finalmente otro que utiliza el algoritmo del filtro de Kalman. Los resultados muestran, entre otros aspectos, que el indicador en el escenario Kalman supera en robustez estadística a los otros dos indicadores y augura uncrecimiento económico positivo para esta región en los años venideros.application/pdftext/htmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/cenes/article/view/5231/4304https://revistas.uptc.edu.co/index.php/cenes/article/view/5231/6254Copyright (c) 2016 Andrés Mauricio Gómez Sánchez, Juliana Isabel Sarmiento Castillo, Claudia Liceth Fajardo Hoyoshttp://creativecommons.org/licenses/by-nc-sa/4.0http://purl.org/coar/access_right/c_abf288http://purl.org/coar/access_right/c_abf2Apuntes del Cenes; Vol. 35 No. 62 (2016); 209-244Apuntes del Cenes; Vol. 35 Núm. 62 (2016); 209-2442256-57790120-3053leading indicatorbusiness cyclesKalman filterprincipal componentsregional economyindicador líderciclos económicosfiltro de Kalmancomponentes principaleseconomía regional.Advanced global indicator of short and long term for the economy of Cauca 1960-2014Indicador global adelantado de corto y largo plazo para la economía del Cauca 1960-2014info:eu-repo/semantics/articlePeer reviewed Articlehttp://purl.org/coar/resource_type/c_6787http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a371http://purl.org/coar/version/c_970fb48d4fbd8a85Gómez Sánchez, Andrés MauricioSarmiento Castillo, Juliana IsabelFajardo Hoyos, Claudia Liceth001/11952oai:repositorio.uptc.edu.co:001/119522025-07-18 12:13:34.549metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Advanced global indicator of short and long term for the economy of Cauca 1960-2014
dc.title.es-ES.fl_str_mv Indicador global adelantado de corto y largo plazo para la economía del Cauca 1960-2014
title Advanced global indicator of short and long term for the economy of Cauca 1960-2014
spellingShingle Advanced global indicator of short and long term for the economy of Cauca 1960-2014
leading indicator
business cycles
Kalman filter
principal components
regional economy
indicador líder
ciclos económicos
filtro de Kalman
componentes principales
economía regional.
title_short Advanced global indicator of short and long term for the economy of Cauca 1960-2014
title_full Advanced global indicator of short and long term for the economy of Cauca 1960-2014
title_fullStr Advanced global indicator of short and long term for the economy of Cauca 1960-2014
title_full_unstemmed Advanced global indicator of short and long term for the economy of Cauca 1960-2014
title_sort Advanced global indicator of short and long term for the economy of Cauca 1960-2014
dc.subject.en-US.fl_str_mv leading indicator
business cycles
Kalman filter
principal components
regional economy
topic leading indicator
business cycles
Kalman filter
principal components
regional economy
indicador líder
ciclos económicos
filtro de Kalman
componentes principales
economía regional.
dc.subject.es-ES.fl_str_mv indicador líder
ciclos económicos
filtro de Kalman
componentes principales
economía regional.
description This paper proposes to build a leading or advanced indicator to the economy of Cauca department, through three alternative methodologies that depart from the traditional methodology based on National Bureau of Economic Research (NBER). Three indicators are proposed to achieve this, both short and long term, under the method of linear decomposition of the cycle, another synthetic overall indicator based on the methodology of the main components and finally another using the Kalman filter algorithm. The results show, among other things, that the indicator on Kalman scenario exceeds in statistic robustness the other two indicators and predicts a positive economic growth for the region in the coming years.
publishDate 2016
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:44:36Z
dc.date.available.none.fl_str_mv 2024-07-05T18:44:36Z
dc.date.none.fl_str_mv 2016-07-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.en-US.fl_str_mv Peer reviewed Article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6787
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a371
format http://purl.org/coar/resource_type/c_6787
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/cenes/article/view/5231
10.19053/22565779.5231
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/11952
url https://revistas.uptc.edu.co/index.php/cenes/article/view/5231
https://repositorio.uptc.edu.co/handle/001/11952
identifier_str_mv 10.19053/22565779.5231
dc.language.none.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/cenes/article/view/5231/4304
https://revistas.uptc.edu.co/index.php/cenes/article/view/5231/6254
dc.rights.en-US.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf288
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
http://purl.org/coar/access_right/c_abf288
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Apuntes del Cenes; Vol. 35 No. 62 (2016); 209-244
dc.source.es-ES.fl_str_mv Apuntes del Cenes; Vol. 35 Núm. 62 (2016); 209-244
dc.source.none.fl_str_mv 2256-5779
0120-3053
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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