Learning in Bayesian regulation: desirable or undesirable?

Abstract

We examine the social desirability of learning about the regulated agent in a generalized principal-agent model with incomplete information. An interesting result we obtain is that there are situations in which the agent prefers a Bayesian regulator to have more, yet incomplete, information about his private type.