方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 教育研究中的工具变量法× | 局部平均处理效应（LATE / CACE）× | |
|---|---|---|
| 领域 | 因果推断 | 因果推断 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1991 (canonical education application) | 1994 |
| 提出者≠ | Angrist & Krueger (canonical 1991 education application); grounded in IV theory by Wright (1928) | Imbens & Angrist (1994); Angrist, Imbens & Rubin (1996) |
| 类型≠ | Quasi-experimental causal identification | Instrumental-variable causal estimand |
| 开创性文献≠ | Angrist, J. D., & Krueger, A. B. (1991). Does Compulsory School Attendance Affect Schooling and Earnings? Quarterly Journal of Economics, 106(4), 979-1014. DOI ↗ | Imbens, G. W., & Angrist, J. D. (1994). Identification and Estimation of Local Average Treatment Effects. Econometrica, 62(2), 467-475. DOI ↗ |
| 别名 | IV in education, 2SLS in education, education IV, school IV estimation | LATE, CACE, complier average causal effect, Yerel Ortalama Tedavi Etkisi (LATE / CACE) |
| 相关 | 5 | 5 |
| 摘要≠ | Instrumental variables (IV) estimation is a quasi-experimental strategy for isolating the causal effect of schooling or educational interventions when assignment to treatment is confounded by unobserved factors. Pioneered in education economics by Angrist and Krueger's use of quarter-of-birth as an instrument for compulsory schooling, IV finds a source of exogenous variation in exposure to education and uses only that variation to estimate outcomes such as earnings, test scores, or attainment. | 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. |
| ScholarGate数据集 ↗ |
|
|