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Soheil Shayegh

Research Scientist, European Institute on Economics and the Environment

About Soheil

Shayegh studies the interaction between natural and human systems by investigating climate policies and the economic impacts of climate change. He is interested in the ways in which climate change interacts with economic productivity, population dynamics, and public health. Shayegh constructs economic models to investigate the long term impacts of climate policies such as carbon tax on global climate change.


"Outward Migration May Alter Population Dynamics and Income Inequality" Nature Climate Change 7 (2017): 828-832.

Shows that climate change induced migration can alter the inequality trap for the people who stay behind.

"Evaluating Relative Benefits of Different Types of R&D for Clean Energy Technology" (with Daniel Sanchez and Ken Caldeira). Energy Policy (2017).

Shows that curve-shifting R&D policies are more effective in bringing down the cost of new clean energy technologies compared to cure-following R&D investments that aim to gradually improve the production process. 

"Adapting to Rates of Climate Change" (with Juan Moreno-Cruz and Ken Caldeira). Environmental Research Letters 11, no. 10 (2016).

Shows that an optimal investment strategy in the areas affected by climate induced sea level rise lays somewhere far enough from the coast that can be adjusted to the rate of sea level rise. 

"Climate Tipping Points and Solar Geoengineering" (with Juan Moreno-Cruz and Garth Heutel). Journal of Economic Behavior & Organization (online first, July 2016).

Shows that solar geoengineering can be used as a compliment to mitigation efforts in an optimal climate policy portfolio. Explains that in the case of climate tipping point, solar geoengineering can reduce the risk and provide a fast fix to the temperature increase.

"Adaptive Stochastic Integrated Assessment Modeling of Optimal Greenhouse Gas Emission Reductions" (with Thomas M. Valerie). Climatic Change 128, no. 1 (2015): 1-15.

Investigates the optimal mitigation policy under uncertainty about the key parameters of the climate system. Shows that in the case of irreversible tipping points in the climate system, more stringent mitigation efforts should be deployed.