We apply control theoretic and optimization techniques to adaptively design incentives for principal-agent problems in which the principal faces adverse selection its interaction with multiple agents. In particular, principal's objective depends on data from strategic decision makers (agents) whose decision-making process is unknown a priori. consider both cases where agents play best response ...

“Rational inattention” is becoming increasingly prominent in economic modeling, but there little empirical evidence for its central premise-that the choice of attention results from a cost-benefit optimization. Observational data typically do not allow researchers to infer choices observables. We fill this gap literature by exploiting unique dataset professional forecasters who update their inf...