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广义矩估计法 (GMM)×Tobit删失回归模型×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19821958
提出者Lars Peter Hansen; Arellano & Bond (dynamic panel)James Tobin
类型Moment-condition estimatorCensored regression (limited dependent variable)
开创性文献Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029-1054. DOI ↗Tobin, J. (1958). Estimation of Relationships for Limited Dependent Variables. Econometrica, 26(1), 24-36. DOI ↗
别名generalized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
相关54
摘要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.The Tobit model is a regression for outcomes that are censored at a threshold, estimating the relationship by maximum likelihood. Introduced by James Tobin in 1958, it addresses the pile-up of observations at a limit (typically zero) in data such as spending, wages, or duration.
ScholarGate数据集
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  1. v1
  2. 1 来源
  3. PUBLISHED

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