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...
- Autores:
- 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
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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 |
_version_ |
1839633842159222784 |