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Generalisert momentmetode (GMM) – estimering×Tobit-modellen for sensurerte regresjonsdata×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår19821958
OpphavspersonLars Peter Hansen; Arellano & Bond (dynamic panel)James Tobin
TypeMoment-condition estimatorCensored regression (limited dependent variable)
Opprinnelig kildeHansen, 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 ↗
Aliasgeneralized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
Relaterte54
SammendragThe 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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ScholarGateSammenlign metoder: GMM Estimation · Tobit Model. Hentet 2026-06-17 fra https://scholargate.app/no/compare