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Robustais Arellano-Bonda GMM novērtētājs×Fiksēto efektu paneļa modelis (FE)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads19911978
AutorsArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
TipsDynamic panel GMM estimator with robust inferencePanel regression estimator
PirmavotsArellano, 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
Citi nosaukumiRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorwithin estimator, FE model, within-group estimator, LSDV model
Saistītās65
KopsavilkumsThe 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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ScholarGateSalīdzināt metodes: Robust Arellano-Bond GMM · Panel Fixed Effects Model. Izgūts 2026-06-18 no https://scholargate.app/lv/compare