This paper provides a general strategy for analyzing monetary policy in real time which accounts for data uncertainty without explicitly modelling the revision process. The strategy makes use of all the data available from a real-time data matrix and averages model estimates across all data...

I propose a methodology for estimating forward-looking Taylor rules in real time when forward-looking real-time central bank data is unavailable. The methodology consists of choosing appropriate models to closely replicate U.S. Greenbook forecasts, and then applying these models to Canada,...

This article compares two types of monetary policy rules - the Taylor-Rule and the Orphanides-Rule - with respect to their forecasting properties for the policy rates of the European Central Bank. In this respect the basic rules, results from estimated models and augmented rules are compared....

This article compares two types of monetary policy rules - the Taylor-Rule and the Orphanides-Rule - with respect to their forecasting properties for the policy rates of the European Central Bank. In this respect the basic rules, results from estimated models and augmented rules are compared....

In this paper, we derive a modification of a forward-looking Taylor rule, which integrates two variables measuring the uncertainty of inflation and GDP growth forecasts into an otherwise standard New Keynesian model. We show that certainty-equivalence in New Keynesian models is a consequence of...