Recent empirical literature shows that key macro variables such as GDP and productivity display long memory dynamics. For DSGE models, we propose a ‘Generalized' Kalman Filter to deal effectively with this problem: our method connects to and innovates upon data-filtering techniques already...

We investigate the relationship between macroeconomic conditions and banks' balance sheets by referring to a modified version of the Bank of Italy Quarterly Model (BIQM), regularly used for forecasting and policy analysis. In particular, we examine how regulatory bank capital and private sector...

We build a model to simulate how the euro-area market-based financial system may function under stressed conditions, such as the COVID-19 turmoil. The core of the model is a set of representative agents reflecting key economic sectors, which interact in asset, funding and derivatives markets and...

While the usefulness of factor models has been acknowledged over recent years, little attention has been devoted to the forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor models over different samples, including the...

We evaluate forecasts for the euro area in data-rich and 'data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data...

We use a general equilibrium model to show that a decrease in workers’ bargaining power amplifies the relative contribution to the output gap of adjustments along the extensive margin of labour utilization. This mechanism reduces the cyclical movements of marginal cost (and inflation) relative...