全球智库信息集成服务系统(G2TT): Non-Random Exposure to Exogenous Shocks: Theory and Applications

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w27845
来源ID	Working Paper 27845
	Non-Random Exposure to Exogenous Shocks: Theory and Applications
	Kirill Borusyak; Peter Hull
发表日期	2020-09-21
出版年	2020
语种	英语
摘要	We develop new tools for estimating the causal effects of treatments or instruments that combine multiple sources of variation according to a known formula. Examples include treatments capturing spillovers in social and transportation networks, simulated instruments for policy eligibility, and shift-share instruments. We show how exogenous shocks to some, but not all, determinants of such variables can be leveraged while avoiding omitted variables bias. Our solution involves specifying counterfactual shocks that may as well have been realized and adjusting for a summary measure of non-randomness in shock exposure: the average treatment (or instrument) across such counterfactuals. We further show how to use shock counterfactuals for valid finite-sample inference, and characterize the valid instruments that are asymptotically efficient. We apply this framework to address bias when estimating employment effects of market access growth from Chinese high-speed rail construction, and to boost power when estimating coverage effects of expanded Medicaid eligibility.
主题	Econometrics ; Estimation Methods ; International Economics ; Trade ; Health, Education, and Welfare ; Health ; Regional and Urban Economics
URL	https://www.nber.org/papers/w27845
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/585516
推荐引用方式 GB/T 7714	Kirill Borusyak,Peter Hull. Non-Random Exposure to Exogenous Shocks: Theory and Applications. 2020.

条目包含的文件
文件名称/大小	资源类型	版本类型	开放类型	使用许可
w27845.pdf（730KB）	智库出版物		限制开放	CC BY-NC-SA	浏览