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](https://www.eiee.org/member/martino-gilli/), [Matteo Calcaterra](https://www.som.polimi.it/people/calcaterra-matteo-3/) and [Johannes Emmerling](https://www.eiee.org/member/johannes-emmerling/).
Intensive farming can have significant implications on air pollution and public health. With [Stefania Renna](https://www.eiee.org/member/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](https://www.eiee.org/member/stefania-renna/) and [Lara Aleluia Reis](https://laleluia.github.io/page/).
We present a novel approach to isolate the persistent component of temperature effects on output using lower frequency temperature variation. With [Bernardo Bastien-Olvera](https://planeteando.org/bernie-bastien-olvera/) and [Frances Moore](https://franmoore.faculty.ucdavis.edu/).
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](https://laleluia.github.io/page/), [Valentina Bosetti](https://faculty.unibocconi.eu/valentinabosetti/), and [Massimo Tavoni](https://sites.google.com/site/massimotavoni/).
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.