| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP15319 |
| DP15319 Non-Random Exposure to Exogenous Shocks: Theory and Applications | |
| Kirill Borusyak; Peter Hull | |
| 发表日期 | 2020-09-25 |
| 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 | International Trade and Regional Economics ; Labour Economics |
| 关键词 | Treatment effects Identification strategies Randomization inference Natural experiments Instrumental variables Market access Simulated instruments Shift-share iv Network spillovers |
| URL | https://cepr.org/publications/dp15319-0 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/544298 |
| 推荐引用方式 GB/T 7714 | Kirill Borusyak,Peter Hull. DP15319 Non-Random Exposure to Exogenous Shocks: Theory and Applications. 2020. |
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