Designing Around Selection: Identification and Inference Under Multi-Dimensional Unobserved Heterogeneity
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We study identification and optimal policy design in a broad class of principal-agent models. We show that the most common empirical framework within the literature is equivalent to an unstructured potential-outcomes model augmented with three specific assumptions: the Law of Demand (LoD), or
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美国国家经济研究局创建时间：
2026-08-01
