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Robust Arellano-Bond GMM -estimaattori×Paneelin kiinteiden vaikutusten malli×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi19911978
KehittäjäArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
TyyppiDynamic panel GMM estimator with robust inferencePanel regression estimator
AlkuperäislähdeArellano, 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 ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
RinnakkaisnimetRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorwithin estimator, FE model, within-group estimator, LSDV model
Liittyvät65
TiivistelmäThe 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 panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.
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ScholarGateVertaile menetelmiä: Robust Arellano-Bond GMM · Panel Fixed Effects Model. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare