We explore the economic impact of temperature fluctuations on income inequality within and between countries, and assess the consequences of rising temperatures until the end of the century. With Martino Gilli, Matteo Calcaterra and Johannes Emmerling.
What can a lockdown tell us about air pollution? We use machine learning to causally identify the drop in PM 2.5 and NO2 in Northern Italy during the first COVID-19 lockdown, and learn about emission patterns. With Lara Aleluis Reis, Valentina Bosetti, and Massimo Tavoni.
Employment dynamics in the aftermath of urban floods
PATFIND: an algorithm for matching PATSTAT with firm-level data. With Elena Verdolini
Pairwise speech distance in the U.S. Congress: A perspective on polarization Poster presented at the 5th International Conference on Computational Social Science, July 17-20 2019, Amsterdam (The Netherlands)
Environmental policy stringency and international collaboration in inventive activity. Evidence from the wind power sector