We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most...

We develop a dynamic regulation game for a stock externality under asymmetric information and future market uncertainty. Within this framework, regulation is characterized as the implementation of a welfare-maximization program conditional on informational constraints. We identify the most...

The question in which we are interested is how a market inhabited by multiple agents, about whom we are differentially uncertain, and who trade goods the use of which imposes a negative effect on others, is to be ideally regulated. We show that a priori asymmetric uncertainty, when combined with...