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Information Design in the Principal-Agent Problem

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arxiv 2209.13688 v2 pith:R36ZRP6C submitted 2022-09-27 cs.GT

classification cs.GT
keywords informationactionstructureagentactionscharacterizationclassclean
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We study a variant of the principal-agent problem in which the principal does not directly observe the agent's effort outcome; rather, she gets a signal about the agent's action according to a variable information structure designed by a regulator. We consider both the case of a risk-neutral and of a risk-averse agent, focusing mainly on a setting with a limited liability assumption. We provide a clean characterization for implementability of actions and utility profiles by any information structure, which turns out to be simple thresholds on the utilities. We further study naturally constrained information structures in which the signal emitted from any action is either the action itself or some actions nearby. We show that the worst implementable welfare deteriorates gracefully as the information structure becomes noisier. Finally, we show that our clean characterization does not generalize to a larger class of signaling constraints. In fact, even deciding whether a certain action is implementable by some constrained information structure from this class is NP-complete in the general setting.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bayesian Risk Preference Persuasion

    math.OC 2026-07 conditional novelty 6.0 of 10

    Information design can steer a receiver's coherent risk preference through Bayes-plausible belief changes, and the paper derives conditions and signal rules for when this benefits a sender.

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