Identification and Inference in Nonlinear Difference-In-Differences Models
收藏NBER2002-09-01 更新2025-01-04 收录
下载链接:
https://www.nber.org/papers/t0280
下载链接
链接失效反馈官方服务:
资源简介:
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
提供机构:
美国国家经济研究局
创建时间:
2002-09-01



