This paper proposes the use of Bayesian model averaging (BMA) as a tool to select the predictors' set for bridge models. BMA is a computationally feasible method that allows us to explore the model space even in the presence of a large set of candidate predictors. We test the performance of BMA...

The volume collects the essays presented at the 15th Workshop on Public Finance organised by Banca d'Italia in Perugia from 4 to 6 April 2013. The workshop focused on the link between fiscal policy and macroeconomic imbalances and comprised four sessions. The first session concentrated on the...

Survey data attract considerable interest as timely and reliable series for assessing the state of the economy. We investigate the relationship between the manufacturing PMI and the Index of Industrial Production (IPI) for Italy, with a special focus on the effects of the latest crisis. The...

Supervisors and policy makers pay increasing attention to the possible procyclical nature of banks� behaviour. Indeed, to guarantee macro and financial stability, it is important to understand whether, and to what extent, banks are affected by the macroeconomy and second round effects...

This paper discusses the role that macroeconomic uncertainty plays in banks� decisions on the optimal asset allocation. Using a portfolio model recently proposed in the literature, the paper aims at disentangling how Italian banks choose between loans and risk-free assets when uncertainty...

This paper investigates the markup of price over marginal cost in Italian manufacturing branches. The approach used is an extension of Hall�s model that addresses some measurement shortcomings and theoretical limitations that may affect this class of model. The hypothesis of perfect...

In the recent banking literature on the relationship between credit risk and the business cycle, the presence of asymmetric effects both across credit risk regimes and through the business cycle has been generally neglected. Employing threshold regression models both at the aggregate and the...