and credit variables in forecasting inflation, even if their information content is diluted in a much broader pool of … monetary and credit aggregates are very often selected among the top predictors of inflation, with their predictive power … relative to other predictors generally improving in the post-2012 period. An out-of-sample forecasting exercise indicates that …

inflation and output play an important role. In this paper we illustrate how modern sticky-price dynamic stochastic general … equilibrium (DSGE) models, estimated using Bayesian techniques, can become an additional useful tool in the forecasting kit of … central banks. First, we show that the forecasting performance of such models compares well with a-theoretical vector …

and standard empirical benchmarks. The design is aligned to its role as workhorse model in the context of the forecasting …

in the Forecasting and Policy Modelling Division. We focus on the guiding principles underpinning the current portfolio … of the main macroeconomic models and illustrate how they can in principle be used for economic forecasting, scenario and …