Analysts typically use a variety of techniques to forecast inflation. These include both ‘bottom-up’ approaches, for near-term forecasting, as well as econometric methods (such as mark-up models of inflation, which have been found to perform quite well for Australia – see de Brouwer and...

We use a simple model of a closed economy to study the recommendations of monetary policy-makers attempting to respond optimally to an asset-price bubble whose stochastic properties they understand. We focus on the impact which the zero lower bound (ZLB) on nominal interest rates has on the...

This paper re-examines the out-of-sample predictive power of interest rate spreads when the short-term nominal rates have been stuck at the zero lower bound and the Fed has used unconventional monetary policy. Our results suggest that the predictive power of some interest rate spreads have...

We find that macroeconomic uncertainty plays a significant role in U.S. monetary policy. First, we construct a measure of uncertainty as felt by policymakers at the time of making their rate-setting decisions. This measure is derived from a real-time, Bayesian estimation of a small monetary VAR...

Recent work on policy rules under uncertainty have highlighted the impact of output gap measurement errors on economic outcomes and their importance in the formulation of appropriate policy rules. This paper investigates the reliability of current estimates of the output gap in Canada. We begin...

Recent work on policy rules under uncertainty have highlighted the impact of output gap measurement errors on economic outcomes and their importance in the formulation of appropriate policy rules. This paper investigates the reliability of current estimates of the output gap in Canada. We begin...

Estimations of simple monetary policy rules are often very rigid. Standard practice requires that a decision is made as to which indicators the central bank is assumed to respond to, ignoring the data-rich environment in which policy-makers typically form their decisions. However, the choice of...

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...

We find that macroeconomic uncertainty plays a significant role in U.S. monetary policy. First, we construct a measure of uncertainty as felt by policymakers at the time of making their rate-setting decisions. This measure is derived from a real-time, Bayesian estimation of a small monetary VAR...

In this paper we use U.S. real-time vintage data and produce combined density nowcasts for quarterly GDP growth from a system of three commonly used model classes. The density nowcasts are combined in two steps. First, a wide selection of individual models within each model class are combined...