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.

We present a novel approach to isolate the persistent component of temperature effects on output using lower frequency temperature variation. With Bernardo Bastien-Olvera and Frances Moore.

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.

Although a large share of the world’s population is employed in manual labor, our understanding of the productivity costs of air pollution for physically intensive work remains limited.

Are bans on electoral contributions from firms effective? We find that contributing firms can circumvent the ban and retain an advantage in procurement tenders. With Alexandros Cavgias

Work in progress

  • 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