Bayesian model averaging: an application to forecast inflation in Colombia

An application of Bayesian Model Averaging, BMA, is implemented to construct combined forecasts for the colombian inflation for the short and medium run. A model selection algorithm is applied over a set of linear models with a large dataset of potencial

Detalles Bibliográficos
Autor Principal: González-Molano, Eliana Rocío
Formato: Documento de trabajo (Working Paper)
Lenguaje:Español (Spanish)
Publicado: Banco de la República 2010
Acceso en línea:

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