Publications by authors named "Alan H Sanstad"
Addressing partial identification in climate modeling and policy analysis.
Proc Natl Acad Sci U S A
April 2021
Article Synopsis
- Numerical simulations play a crucial role in assessing the impacts of climate policies, but they come with significant uncertainties, especially structural uncertainties among different models.
- Instead of using subjective methods to weigh different climate models, the authors suggest treating model uncertainty as "deep" uncertainty, where the underlying dynamics cannot be fully understood or modeled.
- They propose using a min-max regret decision criterion to better handle this uncertainty in integrated assessments, and present a theoretical framework for cost-benefit analysis of climate policy based on this method while also hinting at future research directions.