Bayesian model averaging: an application to forecast inflation in Colombia

Borradores de Economia
Número: 
604
Publicado: 
Clasificación JEL: 
C11, C15, C52, C53
Palabras clave: 
Bayesian model averaging, forecast combination, Inflation, Information theoretical model averaging.

Lo más reciente

Miguel Sarmiento, John Sebastian Tobar-Cruz, Andrés Esteban Casas-Fajardo, Eduardo Yanquen-Briñez
Jaime Alfredo Bonet-Moron, Jaime Andrés Collazos-Rodríguez, Karen Astrid Rubio-Ramírez, Adolfo Ramírez-Moreno, Andrés Felipe Parra-Solano
Julián Alonso Cárdenas-Cárdenas, Deicy Johana Cristiano-Botia, Eliana Rocío González-Molano, Carlos Alfonso Huertas-Campos

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