There is no consensus over the importance of "global forces" on inflation. This study explores the role of structural breaks in the inflation process, and their timing, whether it is common across countries, and the extent to which "global forces" are relevant. Three conclusions stand out....

We propose an empirical framework for analyzing the macroeconomic effects of quantitative easing (QE) and apply it to Japan. The framework is a regimeswitching structural vector autoregression in which the monetary policy regime, chosen by the central bank responding to economic conditions, is...

Monetary conditions index (MCI) has become an important indicator of monetary policy performance since its introduction by Bank of Canada in the 1990s. This is so, as the index allows central banks to gauge monetary policy stance and effectiveness. This paper builds an MCI for the seven (7)...

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...

This paper proposes an ESTAR modeling framework to analyze the anchoring of inflation expectations. Anchoring criteria are empirical estimates of a market implied inflation target as well as the strength of the anchor that holds expectations at the target. Results from daily financial market...

This paper studies regime dependence in the effects of monetary policy shocks for the U.S. using a threshold vector autoregressive model. In a high inflation regime the standard results from the literature obtain. In a low inflation regime output shows no significant response to monetary policy...

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...