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We examine the nature of contracts that optimally reward innovations in a risky environment, when the innovator is privately informed about the quality of her innovation and must engage an agent to develop it. We model the innovator as a principal who has private but imperfect information about...
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Before embarking on a project, a principal must often rely on an agent to learn about its profitability. We model this learning as a two-armed bandit problem and highlight the interaction between learning (experimentation) and production. We derive the optimal contract for both experimentation...
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In a laboratory experiment with 754 participants, we study the canonical one-shot moral hazard problem, comparing … treatments with unobservable effort to benchmark treatments with verifiable effort. In our experiment, the players endogenously …
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This study investigates the relationship between an actor’s beliefs about others’ other-regarding (social) preferences and her own other-regarding preferences, using an “avant-garde” hierarchical Bayesian method. We estimate two distributional other-regarding preference parameters, α...
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