方法对比
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| Arellano-Bond GMM 估计量× | 面板系统GMM（Blundell-Bond估计量）× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1991 | 1998 |
| 提出者≠ | Manuel Arellano and Stephen Bond | Blundell & Bond (1998); Arellano & Bover (1995) |
| 类型 | GMM estimator for dynamic panel data | GMM estimator for dynamic panel data |
| 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 ↗ | Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗ |
| 别名 | AB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator | System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM |
| 相关≠ | 5 | 6 |
| 摘要≠ | The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous. | Panel System GMM is a two-equation GMM estimator for dynamic panel data that stacks the differenced equation (using lagged levels as instruments) with the levels equation (using lagged differences as instruments). Developed by Blundell and Bond (1998) on the foundation of Arellano and Bover (1995), it is the preferred tool when the lagged dependent variable is highly persistent or individual effects are large. |
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