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Nelinearni generalisani metod najmanjih kvadrata (NGLS)×Општа метода момената (GMM) – процена×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka19751982
TvoracGallant (1975); extended by Davidson & MacKinnonLars Peter Hansen; Arellano & Bond (dynamic panel)
TipNonlinear estimatorMoment-condition estimator
Temeljni izvorGallant, A. R. (1987). Nonlinear Statistical Models. Wiley. ISBN: 978-0471802600Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029-1054. DOI ↗
Drugi naziviNGLS, nonlinear generalized least squares, feasible nonlinear GLS, FNGLSgeneralized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)
Srodne25
SažetakNonlinear Generalized Least Squares extends the classical GLS framework to regression models where the mean function is nonlinear in the parameters. It accounts for non-spherical errors — heteroscedasticity or autocorrelation — by pre-weighting the nonlinear objective with an estimated error covariance matrix, yielding consistent and asymptotically efficient estimates.The Generalized Method of Moments is a general-purpose econometric estimator that recovers parameters from population moment conditions, introduced by Lars Peter Hansen in 1982. It is widely used for instrumental-variable estimation, dynamic panel-data models (the Arellano-Bond estimator), and time-series applications.
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ScholarGateUporedite metode: Nonlinear GLS · GMM Estimation. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare