Este documento analiza la relación existente entre la deuda externa pública y la inversiónprivada para Colombia entre 1994 y 2007, a partir del modelo de series de tiempo no linealesTAR. La estimación del modelo se realizó a través de los métodos MCMC y el enfoquebayesiano. Los resultados...

Colombia experienced a deep recession in 1999-2003. Growth slowed by 4.2%,and investment by 34.6%. Was the severity of the recession due to a ¯nan-cial accelerator mechanism µa la Bernanke, Gertler, and Gilchrist (1999)? Toanswer this question, this paper estimates a dynamic stochastic general...

Using Bayesian estimation techniques, we estimate a small open economyDSGE model with credit-market imperfections for the Colombian economy. Us-ing the estimated model we investigate what are the sources of business cycle°uctuations. We show that balance-sheet e®ects play an important role in...

Este trabajo pretende determinar qué conjunto de rigideces nominales y reales se debe incluir en un modelo DSGE para replicar la dinámica de las variables agregadas de la economía colombiana. Con este fin, se estiman varios modelos DSGE con distintas combinaciones de rigideces nominales y...

Typically, central banks use a variety of individual models (or a combination of models) when forecasting inflation rates. Most of these require excessive amounts of data, time, and computational power; all of which are scarce when monetary authorities meet to decide over policy interventions....

El gobierno es un agente que influye sobre la actividad económica a lo largo del ciclo y afecta las variables reales y nominales de un país por medio de sus políticas de ingreso y de gasto. También es un determinante importante de la estabilidad macroeconómica, en cuanto que esta depende,...

Typically, when forecasting inflation rates, there are a variety of individual models and a combination of several of these models. We implement a Bayesian shrinkage combination methodology to include information that is not captured by the individual models using expert forecasts as prior...

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...

This document presents how to estimate and implement a structural VAR-X model under long run and impact identification restrictions. Estimation by bayesian and maximum likelihood methods is presented. Applications of the structural VAR-X for impulse response functions to structural shocks,...

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...