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Robusni GMM-ov procjenitelj Arellano-Bonda×Model dinamičke panelne tablice×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19911988–1991
TvoracArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Arellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
VrstaDynamic panel GMM estimator with robust inferenceDynamic regression / GMM estimation
Temeljni izvorArellano, 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 ↗
Drugi naziviRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatordynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Srodne65
SažetakThe 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 dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy.
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ScholarGateUsporedite metode: Robust Arellano-Bond GMM · Dynamic Panel Data Model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare