Las redes neuronales artificiales han mostrado ser modelos robustos para dar cuenta del comportamiento de diferentes variables. En el presente trabajo se emplean para modelar la relación no lineal del crecimiento del PIB. Tres modelos son considerados: dos autoregresivos (especificación lineal...

Este documento combina estimaciones de ocho metodologías de la brecha del producto colombiano para el período comprendido entre el primer trimestre de 1994 y el tercer trimestre de 2012. A partir de modelos VAR que incluyen las diferentes brechas y la inflación se construyen las densidades...

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...

This research studies the forecasting performance of conventional and more recent exchange rate models in Colombia. The purpose is to explain which have been the main exchange rate determinants under an Inflation Targeting regime and a completely floating exchange rate scheme. Compared to...

En empirical model of the pass-through of international to domestic food inflation is proposed.The key liking variable between international and domestic food inflation of food productsin the PPI for food imports and exports. Not only the inflation rates of the relevant countriesbut also their...

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...

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....

We propose to assess the performance of k forecast procedures by exploring the distributions of forecast errors and error losses. We argue that non systematic forecast errors minimize when their distributions are symmetric and unimodal, and that forecast accuracy should be assessed through...

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...

In this paper, we propose an alternative methodology to determine the existence of credit booms, which is a complex and crucial issue for policymakers. In particular, we exploit the Mendoza and Terrones (2008)´s idea that macroeconomic aggregates other than the credit growth rate contain...