heterogeneous countries with the notable feature of model misspecification on the impacts from SRM. We find that deep uncertainty …

that stochastic technology growth hardly affects the optimal bundle of mitigation and adaptation whereas uncertainty about … composition of the optimal mix as both persuade the risk-averse social planner to invest more in mitigation. Overall, we identify … that including uncertainty into the model tends to favour (long-lasting) mitigation with respect to (instantaneous …

-DICE2016, which is designed to address three key aspects of climateeconomy models: treatment of uncertainty, the use of more … difficulties identified with IAMs, the choice of the risk aversion parameter and the underestimation of damages, are also directly … parameters whose distributions have "fat tails". Uncertainty is accommodated via the state-contingent approach enabling us to …

uncertainty into Integrated Assessment Models (IAMs). Uncertainty is transformed into a risk-premium, damage-correction, region …. This risk premium quantifies what society would be willing to pay to insure against the uncertainty of the damages, and it … highly sensitive to the coefficient of relative risk aversion. Once the climate change damage function incorporates the risk …