In this paper we use two complementary Italian data sources (the 1995 Istat and Bank of Italy household surveys) to generate household-specific non-durable expenditure in the Bank of Italy sample that contains relatively high-quality income data. We show that food expenditure data are of...

This paper investigates the ex-ante determinants of bank loan securitization by using different econometric methods on Italian individual bank data from 2000 to 2006. Our results show that bank loan securitization is a composite decision. Banks that are less capitalized, less profitable, less...

We analyze the impact of the financial crisis on the structure and the dynamics of the Italian inter-bank market, focusing on monthly banks� assets and liabilities data between January 2007 and December 2010. The analysis is developed using an ad hoc dataset based on supervisory reports....

Using 11 years of monthly Italian bank-by-bank data, this paper correlates the bilateral amounts and the identity of each interbank borrower and lender with a long list of explanatory variables. The results show that interbank customer relationships, i.e. stable and strong relationships between...

The recent empirical evidence documenting the presence of asymmetries in business cycles represents a challenge for the standard equilibrium models of real business cycle. These models successfully explain most first and second moments of the actual time series, but cannot replicate non-linear...

The paper surveys different approaches to the estimation of the underground economy. First, the focus is on the methodologies adopted by the Italian and French Statistical Institutes, respectively based on the exhaustive estimate of the labour input and on tax compliance data. Secondly, we...

This paper illustrates the seasonal adjustment procedure for bank deposits and loans, focusing on the policy for the revision of seasonally adjusted data. Seasonal adjustment is semi-automatic when the commonly used software package, TRAMO-SEATS, is used to produce seasonally adjusted series....

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...