方法证据记录
Robust Dynamic Panel Data Model
The robust dynamic panel data model combines the dynamic panel GMM framework — which handles endogeneity from lagged dependent variables and unobserved heterogeneity — with robust covariance estimation that remains valid under heteroscedasticity and serial correlation. The Windmeijer finite-sample correction is the standard robust adjustment applied to two-step GMM estimators in this setting.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Dynamic Panel Data Model
分类方法记录 · regression-model / econometrics
- 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 10.2307/2297968
- Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25–51. · DOI 10.1016/j.jeconom.2004.02.005
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