La evidencia empírica para Colombia muestra relaciones tanto positivas como negativas entre el crecimiento del producto y el empleo, a diferencia de loencontrado en economías desarrolladas como la de los Estados Unidos. El presente trabajo usa modelos VAR para abordar explicaciones de ese...

In this document we lay out the microeconomic foundations of a dynamic stochastic general equilibrium model, called Policy Analysis Tool Applied to Colombian Needs (PATACON), designed as a forecast tool and as a guide to advise monetarypolicy authorities in Colombia. In companion documents we...

Theory-consistent models have to be kept small to be tractable. If they are to forecast well, they have to condition on data that are unmodelled, noisy, patchy and about the future. Agents can also use these data to form their own expectations. In this paper we illustrate a scheme for jointly...

Este artículo 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...

Can frictionless small open economy models drivensolely by technology shocks account for businesscycles in developing countries? We do not find evidenceof it. We build a DSGE model that jointly includesa variety of real perturbations in addition totechnology shocks, such as procyclical fiscal...

En este documento se utilizó la metodología FAVAR (Factor Augmented VAR), para evaluar el impacto de cambios no esperados en cuatro variables internacionales: las tasas de interés de corto plazo, el riesgo, el precio real del petróleo, el café y el carbón y la actividad económica mundial....

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's (2008) idea that macroeconomic aggregates contain valuable information to predict lending...