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一般化モーメント法 (GMM) 推定×Tobit型打ち切り回帰モデル×
分野計量経済学計量経済学
系統Regression modelRegression model
提唱年19821958
提唱者Lars Peter Hansen; Arellano & Bond (dynamic panel)James Tobin
種類Moment-condition estimatorCensored regression (limited dependent variable)
原典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 ↗
別名generalized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
関連54
概要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.
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ScholarGate手法を比較: GMM Estimation · Tobit Model. 2026-06-17に以下より取得 https://scholargate.app/ja/compare