Double-Robust Identification for Causal Panel Data Models
收藏NBER2021-01-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w28364
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资源简介：
We study identification and estimation of causal effects in settings with panel data. Traditionally researchers follow model-based identification strategies relying on assumptions governing the relation between the potential outcomes and the unobserved confounders. We focus on a novel, complementary
提供机构：
美国国家经济研究局
创建时间：
2021-01-01
