Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
Regulation is very persistent, even when inefficient. We propose an explanation for regulatory persistence based on regulatory fog, the phenomenon by which regulation obscures information regarding the value of counterfactual policies. We construct a dynamic model of regulation in which the underlying need for regulation varies stochastically, and regulation undermines the social planner's ability to observe the state of the world. Compared to a full-information benchmark, regulation is highly persistent, often lasting indefinitely. Regulatory fog is robust to a broad range of partially informative policies and can be quite detrimental to social welfare. Regulatory experiments, modeled as costly and imperfect signals of the underlying state, do not eliminate the effects of regulatory fog. We characterize their effects and provide a framework for choosing amongst a set of potential regulatory experiments.