This paper proposes a new method of forecasting euro area quarterly real GDP that uses areawide indicators, which are derived by optimally pooling the information contained in national indicator series. Following the ideas of predictive modeling, we construct the area-wide indicators by...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

Most evidence for the resource curse comes from cross-country growth regressions suffers from a bias originating from the high and ever-evolving volatility in commodity prices. This paper addresses these issues by providing new cross-country empirical evidence for the effect of resources in...

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...

Quarterly GDP figures usually are published with a delay of some weeks. A common way to generate GDP series of higher frequency, i.e. to nowcast GDP, is to use available indicators to calculate a single index by means of a common factor derived from a dynamic factor model (DFM). This paper deals...

Despite the fact that many aggregates are nonlinear functions and the aggregation weights of many macroeconomic aggregates are time-varying, much of the literature on forecasting aggregates considers the case of linear aggregates with fixed, time-invariant aggregation weights. In this study a...

This paper analyzes the effects of fiscal policy in Italy by employing a database containing two statistical novelties: quarterly fiscal variables on accrual basis and a time series estimate of tax evasion for the period 1981:1-2006:4. Following Revenue Agency suggestions, we use in a VECM the...

Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...

We use an original monthly dataset of 131 individual euro area banks to examine the effectiveness and transmission mechanism of the Eurosystem's credit support policies since the start of the crisis. First, we show that these policies have indeed been succesful in stimulating the credit flow of...