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。
| 稳健差分GMM× | Robust System GMM× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1991 / 2005 | 1998–2005 |
| 提出者≠ | Arellano & Bond (1991); robust inference extension via Windmeijer (2005) | Blundell & Bond (1998); robustness corrections by Windmeijer (2005) |
| 类型≠ | GMM estimator with robust standard errors | Panel data GMM estimator |
| 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. The 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 | robust Arellano-Bond estimator, difference GMM with robust SE, HAC difference GMM, AB-GMM robust | system GMM with robust standard errors, two-step system GMM, Blundell-Bond robust estimator, robust S-GMM |
| 相关≠ | 6 | 5 |
| 摘要≠ | Robust Difference GMM applies the Arellano-Bond first-difference GMM estimator with heteroscedasticity- and autocorrelation-consistent (HAC) or Windmeijer-corrected standard errors, delivering valid inference for dynamic panel models even when error variances are non-constant or residuals are cross-sectionally correlated. | Robust System GMM is a two-step panel data estimator that combines the difference and levels moment conditions of Blundell and Bond (1998) with Windmeijer's (2005) finite-sample correction to the two-step variance, producing valid inference even in short panels with a persistent dependent variable, individual fixed effects, and potentially endogenous regressors. |
| ScholarGate数据集 ↗ |
|
|