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非线性广义最小二乘 (NGLS)×广义矩估计法 (GMM)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19751982
提出者Gallant (1975); extended by Davidson & MacKinnonLars Peter Hansen; Arellano & Bond (dynamic panel)
类型Nonlinear estimatorMoment-condition estimator
开创性文献Gallant, 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 ↗
别名NGLS, nonlinear generalized least squares, feasible nonlinear GLS, FNGLSgeneralized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)
相关25
摘要Nonlinear 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.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Nonlinear GLS · GMM Estimation. 于 2026-06-18 检索自 https://scholargate.app/zh/compare