We propose a methodology for producing forecast densities for economic aggregates based on disaggregate evidence. Our ensemble predictive methodology utilizes a linear mixture of experts framework to combine the forecast densities from potentially many component models. Each component represents...

We examine the effectiveness of recursive-weight and equal-weight combination strategies for forecasting using many time-varying models of the relationship be- tween inflation and the output gap. The forecast densities for inflation reflect the uncertainty across models using many statistical...

Jointly identifying the effects of both fiscal and monetary policy shocks in an open economy structural VAR poses identification challenges. The innovations in this paper are to combine the methods of identification via sign restrictions, cointegration and traditional exclusion restrictions...

We propose a methodology to gauge the uncertainty in output gap nowcasts across a large number of commonly-deployed vector autoregressions in US inflation and various measures of the output gap. Our approach constructs ensemble nowcast densities using a linear opinion pool. This yields...

Two impediments to effective monetary policy operation include illiquidity in bond markets and the move towards the zero bound of interest rates. Either or both of these scenarios have been evident in many countries in the last decade, raising the suggestion that alternative means of enacting...