| 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 causal inference in settings where exogenous shocks affect the treatment status of multiple observations jointly, to different extents. In these settings researchers may construct treatments or instruments that combine the shocks with predetermined measures of shock exposure. Examples include measures of spillovers in social and transportation networks, simulated eligibility instruments, and shift-share instruments. We show that leveraging the exogeneity of shocks for identification generally requires a simple but non-standard recentering, derived from the specification of counterfactual shocks that might as well have been realized. We further show how specification of counterfactual shocks can be used for finite-sample inference and specification tests, and we characterize the recentered instruments that are asymptotically efficient. We use this framework to estimate the employment effects of Chinese market access growth due to high-speed rail construction and the insurance 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 |
| 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/544299 |
| 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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