We estimate and forecast growth in euro area monthly GDP and its components from a dynamic factor model due to Doz et al. (2005), which handles unbalanced data sets in an efficient way. We extend the model to integrate interpolation and forecasting together with cross-equation accounting...

This study examines empirically the information content of the euro area Bank Lending Survey for aggregate credit and output growth. The responses of the lending survey, especially those related to loans to enterprises, are a significant leading indicator for euro area bank credit and real GDP...

In this paper we propose a methodology to estimate a dynamic factor model on data sets with an arbitrary pattern of missing data. We modify the Expectation Maximisation (EM) algorithm as proposed for a dynamic factor model by Watson and Engle (1983) to the case with general pattern of missing...

Any empirical analysis of the credit channel faces a key identification challenge: changes in credit supply and demand are difficult to disentangle. To address this issue, we use the detailed answers from the US and the confidential and unique Euro area bank lending surveys. Embedding this...

We find that it does, but choosing the right specification is not trivial. We unveil notable model instability, with breaks in the performance of most simple Phillips curves. Euro area inflation was particularly hard to forecast in the run-up to the EMU and after the sovereign debt crisis, when...

This paper presents the blueprint of a new ECB multi-country model. The version documented in the following pages is estimated on euro area data. As a prelude to the country models, this version is meant to enhance the understanding of the main model mechanisms, enlarge the suite of area wide...