Regression model
移位-份额工具变量（Bartik工具变量）
移位-份额工具变量，通常称为Bartik工具变量，是一种因果推断策略，它通过将国家或行业层面的冲击（移位）与地方构成权重（份额）相结合来构建工具变量。其现代识别框架由Goldsmith-Pinkham, Sorkin and Swift (2020) 和 Borusyak, Hull and Jaravel (2022) 提出。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Goldsmith-Pinkham, P., Sorkin, I. & Swift, H. (2020). Bartik Instruments: What, When, Why, and How. American Economic Review, 110(8), 2586–2624. DOI: 10.1257/aer.20181047 ↗
- Borusyak, K., Hull, P. & Jaravel, X. (2022). Quasi-Experimental Shift-Share Research Designs. Review of Economic Studies, 89(1), 181–213. DOI: 10.1093/restud/rdab030 ↗
如何引用本页
ScholarGate. (2026, June 1). Shift-Share Instrumental Variable (Bartik Instrument). ScholarGate. https://scholargate.app/zh/causal-inference/shift-share-iv
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 双重差分法 (Diff-in-Diff)计量经济学↔ compare
- 面板数据固定效应模型计量经济学↔ compare
- 回归断点设计 (Regression Discontinuity Design, RDD)因果推断↔ compare
- 回归突变设计 (RKD)因果推断↔ compare
- 工具变量法/两阶段最小二乘法 (IV/2SLS)因果推断↔ compare