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Robust Arellano-Bond GMM Estimator×Panel System GMM (Blundell-Bond Estimator)×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19911998
OphavspersonArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Blundell & Bond (1998); Arellano & Bover (1995)
TypeDynamic panel GMM estimator with robust inferenceGMM estimator for dynamic panel data
Oprindelig kildeArellano, 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 ↗Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗
AliasserRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorSystem GMM, Blundell-Bond estimator, SYS-GMM, two-step System GMM
Relaterede66
ResuméThe 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.
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ScholarGateSammenlign metoder: Robust Arellano-Bond GMM · Panel System GMM. Hentet 2026-06-19 fra https://scholargate.app/da/compare