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Principal Covariates Regression for Causal Case Studies

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成果类型:
期刊论文
作者:
Ding, Weibin;Li, Jie;Jin, Dian;Kong, Jiayang
作者机构:
[Ding, Weibin] State Grid Zhejiang Elect Power Co Ltd, Hangzhou 310012, Peoples R China.
[Li, Jie] Jinhua Power Supply Co State Grid Zhejiang Elect P, Jinhua 321000, Peoples R China.
[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan 430079, Peoples R China.
[Jin, Dian; Kong, Jiayang] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.
[Kong, Jiayang] Cent China Normal Univ, Res Ctr Low Carbon Econ & Environm Pol, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
Journal of Mathematics
ISSN:
2314-4629
年:
2022
卷:
2022
机构署名:
本校为其他机构
院系归属:
数学与统计学学院
经济与工商管理学院
摘要:
Researcher and analyst are often interested in estimating the effect of an intervention or treatment, which takes place at the aggregate level and affect one single unit, such as country and region. Thus, comparative case studies would be their first choice in practice. However, comparative case studies could fail to yield an estimate in the effect that is unbiased and consistent, as in some contexts; there are not suitable control units that are similar to the treated. The econometric literature has taken synthetic control methods and panel data approaches to this problem. In this study, we d...

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