方法对比
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| 动态工具变量 (Dynamic Panel IV / Arellano-Bond)× | 面板数据工具变量 (Panel IV / 2SLS)× | |
|---|---|---|
| 领域 | 因果推断 | 因果推断 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1991 | 1978-1991 |
| 提出者≠ | Arellano & Bond (1991); extended by Blundell & Bond (1998) | Hausman (1978); Anderson & Hsiao (1982); Arellano & Bond (1991) |
| 类型≠ | Dynamic panel causal estimation | Causal inference / panel regression |
| 开创性文献 | Arellano, M., & Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58(2), 277-297. DOI ↗ | Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗ |
| 别名 | Dynamic IV, Dynamic Panel IV, Arellano-Bond GMM, System GMM | Panel IV, Panel 2SLS, Within-IV, Fixed-Effects IV |
| 相关≠ | 5 | 4 |
| 摘要≠ | Dynamic Instrumental Variables estimation addresses endogeneity in panel models where the outcome depends on its own past values. By first-differencing to remove unit fixed effects and then using lagged levels as instruments for the differenced lagged outcome, it produces consistent causal estimates even when standard OLS or fixed-effects are biased by dynamic feedback. | Panel data instrumental variables combines the bias-correcting power of instrumental variables (IV) with the within-unit variation exploited by panel data methods. It addresses endogeneity — omitted variables, reverse causation, or measurement error — in longitudinal settings where observations are repeated across units and time. Seminal contributions come from Hausman (1978) on specification testing and Arellano and Bond (1991) on GMM-based panel IV. |
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