We transpose the Generalized Impulse-Response Function (GIRF) developed by Koop et al. (1996) to Markov-Switching structural VARs. As the algorithm displays an exponentially increasing complexity as regards the prediction horizon, we use the collapsing technique to easily obtain simulated...

The development of nonlinear representations and of generalized IRFs favored the study of the variables behavior in response to an economically identified shock as regards (i) the state of the system when the shock occurs, (ii) the size of the shock and (iii) the sign of the shock. Generalized...

Ehrmann et al. (2003) proposed an IRF in the frame of Markov- Switching structurally VARs. Their IRF provides insights on the dynamics within the regime in which the shock occurs. We propose an IRF that captures the global response of the system and illustrate its use with examples.

We propose a methodology extending the structural VAR approach to nonlinear Markov-Switching framework. We present the exact IRFs and discuss their properties as regards the different types of asymmetries (sign, size, state) and assumptions on transition probabilities. We propose a statistical...

Este documento caracteriza los efectos dinámicos de los choques en el gasto y los ingresos del gobierno sobre la actividad económica en Colombia, durante el periodo 1980:1 - 2004:1. Esto mediante un VAR estructural mixto. El SVAR se estima utilizando el procedimiento de Blanchard y Perotti...

We review, under a historical perspective, the developement of the problem of non-fundamentalness of Moving Average (MA) representations of economic models, starting from the work by Hansen and Sargent [1980]. Nonfundamentalness typically arises when agents' information space is larger than the...

We review, under a historical perspective, the development of the problem of nonfundamentalness of Moving Average (MA) representations of economic models. Nonfundamentalness typically arises when agents’ information space is larger than the econometrician’s one. Therefore it is impossible...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...

We investigate optimal horizons for targeting inflation in response to different shocks and their properties under alternative preferences of an inflation-targeting central bank. Our analysis is based on a well specified macroeconometric model of Norway, but we examine how alternative...