dc.creator	González-Molano, Eliana Rocío
dc.date.created	2011-02-20
dc.date.issued	2011-02-20
dc.identifier.uri	https://repositorio.banrep.gov.co/handle/20.500.12134/5660
dc.description.abstract	Three methodologies of estimation of models with many predictors are implemented to forecast Colombian inflation. Two factor models, based on principal components, and partial least squares, as well as a Bayesian regression, known as Ridge regression are
dc.format.mimetype	PDF
dc.language.iso	spa
dc.publisher	Banco de la República
dc.relation.ispartof	Documentos de Trabajo
dc.relation.ispartofseries	Borradores de Economía
dc.relation.isversionof	Borradores de Economía; No. 643
dc.rights.accessRights	Open Access
dc.rights.uri	https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.title	Forecasting with many predictors: an empirical comparison
dc.type	Working Paper
dc.subject.jel	C15 - Statistical Simulation Methods: General
dc.subject.jel	C11 - Bayesian Analysis: General
dc.subject.jel	C52 - Model Evaluation, Validation, and Selection
dc.subject.jel	C53 - Forecasting and Prediction Methods; Simulation Methods
dc.subject.keyword	Partial least squares
dc.subject.keyword	Principal components
dc.subject.keyword	Ridge regression
dc.subject.lemb	Inflación -- Mediciones -- Metodología -- Modelos -- Colombia
dc.subject.lemb	Pronóstico de la economía -- Mediciones -- Metodología -- Modelos -- Colombia
dc.type.spa	Documentos de trabajo
dc.rights.spa	Acceso abierto
dc.rights.cc	Atribucion-NoComercial-CompartirIgual CC BY-NC-SA 4.0
dc.subject.jelspa	C53 - Métodos de pronóstico y predicción; métodos de simulación
dc.subject.jelspa	C52 - Evaluación, contraste y selección de modelos
dc.subject.jelspa	C15 - Métodos de simulación estadística: generalidades
dc.subject.jelspa	C11 - Análisis bayesiano: generalidades
dc.type.hasversion	Published Version
dc.coverage.sucursal	Bogotá
dc.relation.doi	https://doi.org/10.32468/be.643
dc.rights.disclaimer	Las opiniones contenidas en el presente documento son responsabilidad exclusiva de los autores y no comprometen al Banco de la República ni a su Junta Directiva.
dc.relation.repec	https://ideas.repec.org/p/bdr/borrec/643.html
dc.identifier.handle	https://hdl.handle.net/20.500.12134/5660
dc.source.handleRepec	RePEc:bdr:borrec:643

Forecasting with many predictors: an empirical comparison

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