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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Estimador de Mínimos Quadrados Ordinários Dinâmicos (DOLS)×Estimador de Grupo Médio de Efeitos Correlacionados Comuns (CCEMG)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem19932006
Autor originalStock & Watson (1993); panel extension Kao & Chiang (2001)M. Hashem Pesaran
TipoCointegrating regression estimatorHeterogeneous panel estimator
Fonte seminalStock, J. H. & Watson, M. W. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica, 61(4), 783–820. DOI ↗Pesaran, M. H. (2006). Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure. Econometrica, 74(4), 967-1012. DOI ↗
Outros nomesDOLS, Stock-Watson dynamic OLS, dynamic least squares cointegration estimator, Dinamik OLS (DOLS)common correlated effects, CCE, CCEMG, Pesaran CCE estimator
Relacionados54
ResumoDynamic OLS is a cointegrating-regression estimator introduced by Stock and Watson (1993) that recovers the long-run relationship between I(1) variables. It augments the static regression with leads and lags of the differenced regressors, correcting endogeneity bias parametrically so that the long-run coefficient can be estimated by ordinary least squares.The Common Correlated Effects Mean Group estimator, introduced by Pesaran in 2006, is a heterogeneous panel-data estimator that controls for cross-sectional dependence by approximating unobserved common factors with the cross-section averages of the variables. It remains consistent when the slope coefficients differ across units.
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ScholarGateComparar métodos: Dynamic OLS · CCEMG Estimator. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare