The emergence of global supply chains, that is the organization of production processes in factories that are part of a network of suppliers located in different countries and specialized in specific production phases, brings about a number of major changes in the way the global economy works...

We propose an ensemble learning methodology to forecast the future US GDP growth release. Our approach combines a Recurrent Neural Network (RNN) with a Dynamic Factor model accounting for time-variation in the mean with a Generalized Autoregressive Score (DFM-GAS). We show how this combination...

In this contribution, we exploit machine learning techniques to predict out-of-sample firms' ability to export based on the financial accounts of both exporters and non-exporters. Therefore, we show how forecasts can be used as exporting scores, i.e., to measure the distance of non-exporters...

1. Introduction -- 2. Digital Technologies and Industrial Transformations -- 3. Participation in Global Supply Chains and the Offshorability of Italian Jobs -- 4. Digital Manufacturing and the Transformation of the Automotive Industry -- 5. The Way Ahead Towards Advanced Automation of Italian...

We explore the nature of Business Groups, that is network-like forms of hierarchical organization between legally autonomous firms spanning both within and across national borders. Exploiting a unique dataset of 270,474 headquarters controlling more than 1,500,000 (domestic and foreign)...