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...

A dynamic linear model for data revisions and delays is proposed. This model extends Jacobs & Van Norden's [13] in two ways. First, the "true" data series is observable up to a fixed period of time M. And second, preliminary figures might be biased estimates of the true series. Otherwise, the...

Preliminary and delayed Colombian GDP reports are replaced with optimal in-sample now-casts of "true" GDP figures derived from a model for data revisions. The new GDP time series is augmented with optimal out-of-sample forecasts and back-casts of the "true" GDP figures derived from the same...

In this paper,we propose a methodology for calculating a leading index of the economic activity based on a modification of Stock and Watson's (1989, 1991, 1992) approach. We use Kalman filter techniques for estimating the state space representation of the leading index model. The methodology is...

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...

The assessment of inflationary pressures in Colombia has faced two important challenges in the present decade. The first one occurred in 2006 and consisted of detecting an overheating economy in the midst of fast growing investment and increasing measured productivity. The second challenge took...

This paper contains the results of a non parametric multi-step ahead forecast for the monthly Colombian inflation, using Mean conditional Kernel estimation over inflation changes, with no inclusion of exogenous variables. The results are compared with those from an ARIMA and a nonlinear STAR....

Este documento reporta los resultados de la estimaci´on de una versi´on reciente del modelo P-estrella de Gerlach y Svensson (2003) para Colombia (1980:I - 2005:IV) y sus predicciones. El modelo está diseñado para explicar la brecha de inflaci´on (tasa observada menos la meta) con base en...

En países como Colombia en donde se sigue una estrategia de inflación objetivo es fundamental para el Banco Central contar con buenos modelos para pronosticar la inflación. En este documento se comparan los pronósticos de inflación obtenidos a partir de un modelo de Curva de Phillips usando...