This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...

This paper contributes to the recent literature that studies the quantitative implications of the imperfect information about potential output for the conduct of monetary policy. By means of Bayesian techniques, a small New Keynesian model is estimated taking explicitly account of the imperfect...

This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA)based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...

The purpose of this study is to investigate the dynamic relationships between some key variables for the euro area by means of a systems approach (i.e. so-called Vector Autoregression) and to simulate their responses with respect to monetary policy shocks. The main result is that rather simple...

This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA) based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...

The P-star inflation model is based on the long-term quantity theory of money and puts together the long term determinants of the price level and the short run changes in current inflation. The P-star model based indicator has replaced the previous monetary policy procedures in a number of...

This paper estimated Monetary Conditions Index (MCI) of inflation variable for Pakistan by using monthly data from June 1990 to June 2001. Before calculating MCI we have estimated weights of interest rate and exchange rate to be used in the construction of MCI. For this purpose we used unit root...