This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting inflation with the ability of quantile regression to...

In this paper we investigate whether the forecast of the HICP components (indirect approach) improves upon the forecast of overall HICP (direct approach) and whether the aggregation of country forecasts improves upon the forecast of the euro-area as a whole, considering the four largest euro...

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance matrix of h-step ahead forecasts. In the empirical...

This paper reconsiders the role of macroeconomic shocks and policies in determining the Great Recession and the subsequent recovery in the US. The Great Recession was mainly caused by a large demand shock and by the ZLB on the interest rate policy. In contrast with previous findings, the...

This paper investigates the role of fiscal policies over the aggregate EMU business cycle. Previous studies, based on the assumption of non-separability between public and private consumption, obtain a large public consumption multiplier, a small fraction of non-Ricardian households and,...

This paper presents a 16-variable Bayesian VAR forecasting model of the U.S. economy for use in a monetary policy setting. The variables that comprise the model are selected not only for their effectiveness in forecasting the primary variables of interest, but also for their relevance to the...

This paper presents a medium-scale micro-founded model with real and nominal imperfections, named "MOISE" (MOdel for the ISraeli Economy). The model was developed at the Bank of Israel to support monetary policy formulation, and builds on similar models in wide use among central banks. It...

This paper addresses the relative importance of monetary indicators for forecasting inflation in the euro area in a Bayesian framework. Bayesian Model Averaging (BMA) based on predictive likelihoods provides a framework that allows for the estimation of inclusion probabilities of a particular...

We estimate a medium scale DSGE model for the Euro area with Limited Asset Market Participation (LAMP). Our results suggest that in the recent EMU years LAMP is particularly sizeable (393 during 1993-2012) and important to understand business cycle features. The Bayes factor and the forecasting...

In this paper, we outline a version of the New Area-Wide Model (NAWM) of the euro area designed for use in the (Broad) Macroeconomic Projection Exercises regularly undertaken by ECB/Eurosystem staff. We present estimation results for the NAWM that are obtained by employing Bayesian inference...