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	Estymator GMM typu Arellano-Bond z odpornymi błędami standardowymi	System GMM dla danych panelowych (Estymator Blundella-Bonda)
Dziedzina	Ekonometria	Ekonometria
Rodzina	Regression model	Regression model
Rok powstania	1991	1998
Twórca	Arellano & Bond (1991); robust inference extensions by Windmeijer (2005)	Blundell & Bond (1998); Arellano & Bover (1995)
Typ	Dynamic panel GMM estimator with robust inference	GMM estimator for dynamic panel data
Źródło pierwotne	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.	Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143.
Inne nazwy	Robust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimator	System GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Pokrewne	6	6
Podsumowanie	The Robust Arellano-Bond GMM estimator applies the Arellano-Bond first-difference GMM approach to dynamic panel data while computing heteroscedasticity- and autocorrelation-consistent (robust) standard errors. This combination handles the Nickell bias from lagged dependent variables and simultaneously yields reliable inference when error variances differ across units or periods.	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.