Three methodologies to estimate the natural interest rate, NIR, are implemented for the Colombian economy. Two methods are statistical filters and the third involves some economic theory. The first method is based on unobserved components decomposition of the real interest rate and explores the...

En este documento se desarrolla una exploración empírica sobre la información contenida en las expectativas de inflación obtenidas tanto directa (a través de encuestas) como indirectamente (implícitas en el mercado de deuda pública). Para esto, se realizan pruebas de insesgamiento y...

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...

Many developing countries are adopting inflation targeting regimes to guide monetary policy decisions. In such countries the share of food in the consumption basket is high and policy makers often employ total inflation (as opposed to core inflation) to set inflationary targets. Therefore,...

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...

A small open macroeconomic model, in which an optimal interest rate rule emerges to drive the inflation behavior, is used to model inflation within an inflation targeting framework. This set up is used to estimate the relationship between commodity prices shocks and the inflation process in a...

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...

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...

The assessment of inflationary pressures in Colombia has faced two important challenges inthe present decade. The …rst one occurred in 2006 and consisted of detecting an overheatingeconomy in the midst of fast growing investment and increasing measured productivity. Thesecond challenge took...