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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w24997 |
来源ID | Working Paper 24997 |
Quasi-Experimental Shift-Share Research Designs | |
Kirill Borusyak; Peter Hull; Xavier Jaravel | |
发表日期 | 2018-09-10 |
出版年 | 2018 |
语种 | 英语 |
摘要 | Many studies use shift-share (or “Bartik”) instruments, which average a set of shocks with exposure share weights. We provide a new econometric framework for shift-share instrumental variable (SSIV) regressions in which identification follows from the quasi-random assignment of shocks, while exposure shares are allowed to be endogenous. The framework is motivated by an equivalence result: the orthogonality between a shift-share instrument and an unobserved residual can be represented as the orthogonality between the underlying shocks and a shock-level unobservable. SSIV regression coefficients can similarly be obtained from an equivalent shock-level regression, motivating shock-level conditions for their consistency. We discuss and illustrate several practical insights of this framework in the setting of Autor et al. (2013), estimating the effect of Chinese import competition on manufacturing employment across U.S. commuting zones. |
主题 | Econometrics ; Estimation Methods ; International Economics ; Trade ; Labor Economics ; Labor Supply and Demand |
URL | https://www.nber.org/papers/w24997 |
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/582671 |
推荐引用方式 GB/T 7714 | Kirill Borusyak,Peter Hull,Xavier Jaravel. Quasi-Experimental Shift-Share Research Designs. 2018. |
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 | ||
w24997.pdf(1123KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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