This paper contributes to the policy discussion on Covid-19 by presenting real-time evidence on the magnitude of the shock for Italian firms. We take advantage of unique panel data on 7,800 companies between January 2020 {right before the pandemic{ and March of the same year {in the midst of...

Using the entire population of USPTO patent applications published between 2002 and 2019, and leveraging on both patent classification and semantic analysis, this paper aims to map the current knowledge base centred on robotics and AI technologies. These technologies are investigated both as a...

This paper, relying on a still relatively unexplored long-term dataset on U.S. patenting activity, provides empirical evidence on the history of labour-saving innovations back to early 19th century. The identification of mechanisation/automation heuristics, retrieved via textual content analysis...