Methoden vergleichen

	Robuster dynamischer Paneldaten-Regressionsansatz	Panel System GMM (Blundell-Bond-Schätzer)
Fachgebiet	Ökonometrie	Ökonometrie
Familie	Regression model	Regression model
Entstehungsjahr	1991–2005	1998
Urheber	Arellano & Bond (1991); robust extension via Windmeijer (2005)	Blundell & Bond (1998); Arellano & Bover (1995)
Typ	Dynamic panel estimator with robust inference	GMM estimator for dynamic panel data
Wegweisende Quelle	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.	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Aliasnamen	robust dynamic panel, heteroscedasticity-robust dynamic panel, robust GMM dynamic panel, dynamic panel with robust standard errors	System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Verwandt	5	6
Zusammenfassung	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.	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.