Structural VAR and Structural VEC models were estimated for Chile and Colombia, aiming at identifying fiscal policy shocks in both countries between 1990 and 2005. The impulse responses obtained allow the calculation of a pesofor- peso ($/$) effect on output of a shock to public spending and to...

ABSTRACT. We use a dynamic factor model proposed by Stock and Watson [1998, 1999,2002a,b] to forecast Colombian inflation. The model includes 92 monthly series observedover the period 1999:01-2008:06. The results show that for short-run horizons, factor modelforecasts significantly outperformed...

En este documento estimamos el grado de transmisión de corto y largo plazo sobre lainflación de los bienes importados de un choque a la tasa de devaluación nominal enpresencia de asimetrías. Utilizamos una ecuación estándar de pass-through para modeloscon competencia imperfecta, datos...

This article analyzes identification problems that may arise while linearizing and solving DSGE models. A criterion is proposed to determine whether or not a set of parameters is partially identifiable, in the sense of Canova and Sala (2009), based on the computation of a basis for the null...

Este documento evalúa el grado de transmisión de corto y largo plazo sobre la inflación de los bienes importados de un choque a la depreciación del peso colombiano cuando se controla por el ciclo económico. Encontramos que la transmisión es mayor cuando la perturbación ocurre en un...

In this paper, we study the empirical relationship between credit funding sources and the financial vulnerability of the Colombian banking system. We propose a statistical model to measure and predict banking-fragility episodes associated with credit funding sources classified into retail...

Este trabajo evalúa si las transformaciones de potencia (Box-Cox y en particular logarítmica) de series de tiempo mejoran la precisión de los pronósticos de modelos ARIMA ajustados a variables económicas de Colombia en dos periodos diferentes: 1980-1995 y 2002-2012. Se compara la habilidad...

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 estimated. The methodologies are compared...

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 predictors using marginal as well as...

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 predictors using marginal as well as...