In this paper we document a process of price convergence in the European market for pharmaceutical products and relate it to access to innovative medicines in individual countries. The EU is a peculiar case study, where free circulation of goods coexists with pricing policies designed and...

In this contribution, we exploit machine learning techniques to predict the risk of failure of firms. Then, we propose an empirical definition of zombies as firms that persist in a status of high risk, beyond the highest decile, after which we observe that the chances to transit to lower risk...

In this paper we analyze where value is added along supply chains on a sample of more than 2 million of firms in the European Union. We detect a non-linear U-shaped relationship between the value added generated by firms and their position on a productive sequence, for which tasks at the top and...

In this contribution, at first, we introduce a basic network framework to study pyramidal structures and wedges between ownership and control of companies. Then, we apply it to a dataset of 53.5 million of companies operating in 208 countries. Among others, we detect a strong concentration of...

In this paper we analyze where value is added along supply chains on a sample of more than 2 million of firms in the European Union. We detect a non-linear U-shaped relationship between the value added generated by firms and their position on a productive sequence, for which tasks at the top and...

In this paper, we investigate the process of entry and exit of Italian manufacturing firms in relationship with characteristics of Italian provinces, at the NUTS 3-digit, with a focus on the productivity distributions of incumbent firms. We find a higher churning of firms, both entry and exit,...

In this paper we study the organization of Global Value Chains on a sample of about 4,000 manufacturing parent companies operating more than 90,000 affiliates on a global scale, which chose to integrate at least once in the period 2004–2012. Assuming a technological sequence of production...

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...