Research

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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.

Intensive farming can have significant implications on air pollution and public health. With Stefania Renna, Jacopo Lunghi, Maurizio Malpede, Damiano Di Simine.

Climate change will shift biomes across borders. What are the implications for economic production and non-market ecosystem benefits? Under SSP3-6.0, by 2100 GDP will be reduce by 1.3% compared to baseline and non-market ecosystem benefits by 9.2%. With Bernie Bastien-Olvera, Marc Conte, Xiali Dong, Tania Briceno, David Batker, Johannes Emmerling, Massimo Tavoni, and Fran Moore.

Agriculture can be a major source of secondary inorganic particulate matter (PM). Where this is the case, even substantially large reduction in precursor emissions may not deliver large drops in secondary inorganic PM. With Stefania Renna and Lara Aleluia Reis.

The Country Level Air Quality Calculator (CLAQC) is an open-source modeling tool that utilizes national sectoral emissions and weather data to forecast monthly and annual concentrations PM2.5 and O3 using machine learning. With Stefania Renna, Lara Aleluia Reis and Paulina Estela Schulz-Antipa.

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