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Estimador GMM Robusto de Arellano-Bond×Estimador GMM en Diferencias (Arellano-Bond)×
CampoEconometríaEconometría
FamiliaRegression modelRegression model
Año de origen19911991
Autor originalArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Manuel Arellano and Stephen Bond
TipoDynamic panel GMM estimator with robust inferenceGMM panel estimator
Fuente seminalArellano, 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 ↗
AliasRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorArellano-Bond estimator, AB-GMM, first-difference GMM, difference GMM estimator
Relacionados65
ResumenThe 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.Difference GMM, introduced by Arellano and Bond (1991), estimates dynamic panel data models by first-differencing the equation to remove fixed effects, then using lagged levels of the endogenous variables as GMM instruments. It is the standard approach when a lagged dependent variable or other endogenous regressors are present in a panel with many units and few time periods.
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  3. PUBLISHED

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ScholarGateComparar métodos: Robust Arellano-Bond GMM · Difference GMM. Recuperado el 2026-06-18 de https://scholargate.app/es/compare