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Robusni model dinamičkih panel podataka×Arellano-Bond GMM Оцењивач×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1991–20051991
TvoracArellano & Bond (1991); robust extension via Windmeijer (2005)Manuel Arellano and Stephen Bond
TipDynamic panel estimator with robust inferenceGMM estimator for dynamic panel data
Temeljni izvorArellano, 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 ↗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 ↗
Drugi nazivirobust dynamic panel, heteroscedasticity-robust dynamic panel, robust GMM dynamic panel, dynamic panel with robust standard errorsAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Srodne55
SažetakThe 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.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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ScholarGateUporedite metode: Robust Dynamic Panel Data Model · Arellano-Bond GMM estimator. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare