Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting
Stephen J. DeCanio, Charles F. Manski, and Alan H. Sanstad

TL;DR
This paper applies a minimax-regret approach to climate policy under deep uncertainty, considering multiple climate models and discount rates, recommending a low discount rate to limit temperature rise.
Contribution
It introduces a minimax-regret framework for climate policy that accounts for deep uncertainties in climate models and discount rates, providing new policy guidance.
Findings
Recommends a low discount rate of 0.02 for climate policy.
Keeps maximum temperature increase below 2°C for most parameter values.
Highlights the importance of considering deep uncertainty in climate decision-making.
Abstract
Integrated assessment models have become the primary tools for comparing climate policies that seek to reduce greenhouse gas emissions. Policy comparisons have often been performed by considering a planner who seeks to make optimal trade-offs between the costs of carbon abatement and the economic damages from climate change. The planning problem has been formalized as one of optimal control, the objective being to minimize the total costs of abatement and damages over a time horizon. Studying climate policy as a control problem presumes that a planner knows enough to make optimization feasible, but physical and economic uncertainties abound. Earlier, Manski, Sanstad, and DeCanio proposed and studied use of the minimax-regret (MMR) decision criterion to account for deep uncertainty in climate modeling. Here we study choice of climate policy that minimizes maximum regret with deep…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsClimate Change Policy and Economics · Atmospheric and Environmental Gas Dynamics · Energy, Environment, and Transportation Policies
