Accounting for Unobservable Heterogeneity in Cross Section Using Spatial First Differences
收藏NBER2018-10-01 更新2025-01-04 收录
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https://www.nber.org/papers/w25177
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资源简介:
We develop a simple cross-sectional research design to identify causal effects that is robust to unobservable heterogeneity. When many observational units are dense in physical space, it may be sufficient to regress the spatial first differences (SFD) of the outcome on the treatment and omit all
提供机构:
美国国家经济研究局
创建时间:
2018-10-01



