Identification and Inference in Nonlinear Difference-In-Differences Models
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This paper develops an alternative approach to the widely used Difference-In-Difference (DID) method for evaluating the effects of policy changes. In contrast to the standard approach, we introduce a nonlinear model that permits changes over time in the effect of unobservables (e.g., there may be a
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美国国家经济研究局创建时间：
2002-09-01
