Research

Research - 2017

In this paper, the authors’ treatment of uncertainty in environmental applications is motivated by two leading examples: climate change and biodiversity loss. They argue that in these cases uncertainty is sufficiently far-reaching that standard decision-making tools such as expected utility theory may no longer capture important aspects of our uncertainty preferences. Richer models of decision-making, which allow us to express lack of confidence in our information, may be more desirable. Read more

Research - 2015

Research - 2014

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