The Role of Ambiguity in Climate Change Policy
Existing economic analysis of climate change policy might not be accurate because it assumes too much certainty about the empirical effects of global warming.
Heal and his co-authors, Antony Millner
of University of California–Berkeley and Simon Dietz
of the London School of Economics, agree that fundamental physical principles of the climate system are “unimpeachable;” however, they observe that the complex models developed by climate experts still disagree with one another on the precise effects of changing concentrations of greenhouse gases.
This disagreement reflects remaining uncertainty about the effects of climate change, which in turn renders traditional economic evaluations inadequate. Traditionally, economists have relied on expected utility theory
when analyzing climate change policy. But expected utility theory, which calls for multiplying outcomes by their probabilities, depends on knowing the probabilities in the first place.
When so much remains still uncertain about the climate system, its changes and effects, policymakers cannot use the usual economic models that rely on expected utility.
From left: Professor Heal; Professor Howard Kunreuther, PPR and Wharton School; and Adam Finkel, PPR Executive Director
Professor Heal and his coauthors offer an alternative model for analyzing climate change, one that takes uncertainty – or what they refer to as ambiguity – directly into account. They build a model of decision making that factors in people’s aversion to ambiguity, finding that taking such aversion into account can significantly affect the value of climate change policy.
They conclude that “ambiguity aversion is plausibly a major driver of the economic case for abating greenhouse gas emissions.”