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Estimarea prin Metoda Generalizată a Momentelor (GMM)×Modelul Tobit cu regresie cenzurată×
DomeniuEconometrieEconometrie
FamilieRegression modelRegression model
Anul apariției19821958
Autorul originalLars Peter Hansen; Arellano & Bond (dynamic panel)James Tobin
TipMoment-condition estimatorCensored regression (limited dependent variable)
Sursa seminalăHansen, 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 ↗
Denumiri alternativegeneralized method of moments, GMM, Arellano-Bond estimator, Genelleştirilmiş Momentler Yöntemi (GMM)censored regression, limited dependent variable model, Tobit Modeli (Sansürlü Regresyon)
Înrudite54
RezumatThe 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.
ScholarGateSet de date
  1. v1
  2. 2 Surse
  3. PUBLISHED
  1. v1
  2. 1 Surse
  3. PUBLISHED

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ScholarGateCompară metode: GMM Estimation · Tobit Model. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare