The paper evaluates the impact of the guarantees provided by the Italian scheme Fondo di Garanzia on the access to credit for small and medium enterprises. The study exploits the mechanism that assigns the guarantees, which is based on a scoring system to assess eligibility. By using regression...

This paper examines the financial structure and the bank relationships of Italian multinational firms. We show that multinationals are on average more leveraged than non-internationalized firms. Moreover, they have a larger share of financial and bank debt out of total debt, maintain more bank...

We exploit Italian Central Credit Register data to investigate the effectiveness of subsidized credit programs for public financing to firms via the banking system. The effect of public incentives depends on the availability of financial resources for the beneficiary firms. Financially...

We evaluate the effectiveness of a partial credit guarantee program implemented in a large Italian region using unique microdata from a broad set of firms. Our results show that the policy was effective to the extent that it resulted in an improved financial condition for the beneficiary firms....

In this paper we investigate whether new exporter firms have a higher probability of starting to export to the countries where their financing banks have already established their branches. The underlying mechanism we hypothesize is based on the transmission of foreign market knowledge from...

The paper investigates whether firms have better access to bank credit in areas with a larger degree of urbanization. It uses bank-firm data drawn from the Credit Register maintained at the Bank of Italy to devise an indicator of ease of access to credit. The paper proposes an instrumental...

We use Machine Learning (ML) predictive tools to propose a policy-assignment rule designed to increase the effectiveness of public guarantee programs. This rule can be used as a benchmark to improve targeting in order to reach the stated policy goals. Public guarantee schemes should target firms...

Machine Learning (ML) can be a powerful tool to inform policy decisions. Those who are treated under a programme might have different propensities to put into practice the behaviour that the policymaker wants to incentivize. ML algorithms can be used to predict the policy-compliers; that is,...