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Estymator GMM typu Arellano-Bond z odpornymi błędami standardowymi×Estymator GMM Arellano-Bonda×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania19911991
TwórcaArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Manuel Arellano and Stephen Bond
TypDynamic panel GMM estimator with robust inferenceGMM estimator for dynamic panel data
Źródło pierwotneArellano, 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 ↗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 ↗
Inne nazwyRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Pokrewne65
PodsumowanieThe 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.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.
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  3. PUBLISHED

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ScholarGatePorównaj metody: Robust Arellano-Bond GMM · Arellano-Bond GMM estimator. Pobrano 2026-06-20 z https://scholargate.app/pl/compare