方法对比
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| 局部平均处理效应（LATE / CACE）× | 工具变量法/两阶段最小二乘法 (IV/2SLS)× | |
|---|---|---|
| 领域 | 因果推断 | 因果推断 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1994 | 2009 |
| 提出者≠ | Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996) | Angrist & Pischke (textbook treatment); Stock & Yogo (weak-instrument theory) |
| 类型≠ | Instrumental-variable causal estimand | Instrumental-variables regression |
| 开创性文献≠ | Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗ | Angrist, J. D. & Pischke, J. S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355 |
| 别名≠ | LATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE) | instrumental variables, IV estimation, 2SLS, instrumental variable regression |
| 相关 | 5 | 5 |
| 摘要≠ | The Local Average Treatment Effect is an instrumental-variable estimand, introduced by Imbens and Angrist (1994) and formalised with Rubin (1996), that recovers the average treatment effect for the subpopulation of compliers — units whose treatment status is actually moved by the instrument. It is closely tied to compliance analysis. | IV/2SLS is a two-stage estimation method that recovers the causal effect of an endogenous regressor by isolating the part of its variation driven by an external instrument. It is the workhorse identification strategy in modern applied econometrics, developed at length in Angrist and Pischke's Mostly Harmless Econometrics (2009). |
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