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来源类型Working Paper
规范类型报告
DOI10.3386/w24997
来源IDWorking 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
URLhttps://www.nber.org/papers/w24997
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582671
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GB/T 7714
Kirill Borusyak,Peter Hull,Xavier Jaravel. Quasi-Experimental Shift-Share Research Designs. 2018.
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