We study a non-parametric class of neoclassical trade models with global production networks. We characterize their properties in terms of sufficient statistics useful for growth and welfare accounting as well as for counterfactuals. We establish a formal duality between open and closed...

The digital revolution has brought about a wave of technological optimism, sustained by all the things technology does for us in our every day lives. This is in principle good, but it has a dark side, as the poor use of the new technologies may lead us to become lazier and to replace or strain...

Artificial intelligence (AI) is starting to pervade the economic and social life rendering strategic interactions with artificial agents more and more common. At the same time, experimental economic research has increasingly employed computer players to advance our understanding of strategic...

This paper proposes a data-driven approach, by means of an Artificial Neural Network (ANN), to value financial options and to calculate implied volatilities with the aim of accelerating the corresponding numerical methods. With ANNs being universal function approximators, this method trains an...

"Thank you for your order, Mr Mainframe Customer. The cost is £5 million and the lead-time for manufacture will be two years. In the meantime you will have to build a special computer centre to our specification. For our part, our project team will help you recruit and train potential...

We exploit a survey data set that contains information on how 11,000 workers across advanced and emerging market economies perceive the main forces shaping the future of work. In general, workers feel more positive than negative about automation, especially in emerging markets. We find that...