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Momenttimenetelmän yleistys (GMM) estimointi×Tobit-sensuroitu regressiomalli×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi19821958
KehittäjäLars Peter Hansen; Arellano & Bond (dynamic panel)James Tobin
TyyppiMoment-condition estimatorCensored regression (limited dependent variable)
AlkuperäislähdeHansen, 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 ↗
Rinnakkaisnimetgeneralized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
Liittyvät54
TiivistelmäThe 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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ScholarGateVertaile menetelmiä: GMM Estimation · Tobit Model. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare