This paper proposes a new paradigm for the analysis of monetary policy. From an econometric point of view this new approach is just as easy to implement as reduced form analysis, but is robust to the Lucas critique. It requires no explicit prior theory and yet it encompasses all standard DSGE...

This paper examines the feasibility of implementing Linear Quadratic Gaussian (LQG) Control in structural cointegrated VAR models and sheds some light on the two major problems generated by such implementation. The first aspect to be taken into account is the effect of the presence of unit roots...

Structural VARs have been extensively used in empirical macroeconomics during the last two decades, particularly in analyses of monetary policy. Existing Bayesian procedures for structural VARs are at best confined to a severly limited handling of cointegration restrictions. This paper extends...

This paper employs stochastic simulations of a small structural rational expectations model to investigate the consequences of the zero bound on nominal interest rates. We find that if the economy is subject to stochastic shocks similar in magnitude to those experienced in the U.S. over the...

The aim of this paper is twofold. First, for West Germany, France, Italy and US, we econometrically select within a SVAR model some fiscal policy regimes, i.e. a u0094set of rulesu0094 for the implementation of fiscal policies. Second, we identify the fiscal policy shocks related to different...

This paper analyses the information content of M1 for euro area real GDP since the beginning of the 1980s and reviews theoretical arguments on why real narrow money should help predict real GDP. We find that, unlike in the U.S., in the euro area, M1 has better and more robust forecasting...

Monitoring and forecasting price developments in the euro area is essential in the light of the second pillar of the ECBu0092s monetary policy strategy. This study analyses whether the forecasting accuracy of forecasting aggregate euro area inflation can be improved by aggregating forecasts of...