Learning in Bayesian regulation: desirable or undesirable?
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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.