The paper derives the optimal carbon tax in closed-form from an integrated assessment of climate change. The formula shows how carbon, temperature, and economic dynamics quantify the optimal mitigation effort. The model's descriptive power is comparable to numeric models used in policy advising....

This paper is a revised version of: "http://ssrn.com/abstract=2643293" http://ssrn.com/abstract=2643293.A revised version of this paper can be found at: "http://ssrn.com/abstract=3307622" http://ssrn.com/abstract=3307622.The paper derives the optimal carbon tax in closed-form from an integrated...

The paper analyzes optimal climate policy under uncertainty. It endows a recent quantitative analytic integrated assessment model (IAM) with long-run risk, adapting methods from the asset pricing literature to deal with endogenous climate risk. The model solves in closed-form for general degrees...

The precise consequences of climate change remain uncertain. We incorporate damage uncertainty into a joint model of climate and the economy, an integrated assessment model. First, both the science and the integrated assessment community analyze uncertainty by means of sensitivity analysis and...

The paper incorporates qualitative differences of probabilistic beliefs into a rational (or normatively motivated) decision framework. Probabilistic beliefs can range from objective probabilities to pure guesstimates. The decision maker in the present model takes into account his confidence in...

This paper is a revised version of: "https://ssrn.com/abstract=2667972" https://ssrn.com/abstract=2667972.The Analytic Climate Economy (ACE) closes a gap between analytic climate change assessments and quantitative numeric integrated assessment models (IAMs) used in policy advising. Its...

Anthropogenic greenhouse gas emissions are changing the energy balance of our planet. Various climatic feedbacks make the resulting warming over the next decades and centuries highly uncertain. We quantify how this uncertainty changes the optimal carbon tax in a stochastic dynamic programming...