Last week I visited and presented my paper “Information and Uncertainty in Regulatory Processes” at UCSB’s Bren School of Environmental Science & Management. Here’s the abstract:
Agencies must simultaneously weigh technical information along with the political and distributive consequences of their decisions. In a study of the U.S. Environmental Protection Agency’s implementation of federal pesticide policy, I show that the EPA accounts for both risk and constituency factors. I model the sequence of steps in the decision process to show the effects of both uncertainty and information in the EPA’s decisions. This is accomplished by estimating a competing risks model of the timing of the agency’s decisions.