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Teste de Causalidade de Granger×Teste CD de Pesaran: Diagnóstico de Dependência Transversal para Dados em Painel×
ÁreaEconometriaEconometria
FamíliaRegression modelHypothesis test
Ano de origem19692021
Autor originalClive W. J. GrangerM. Hashem Pesaran
TipoTime-series predictive causality testNon-parametric diagnostic test
Fonte seminalGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. DOI ↗
Outros nomesGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik TestiCD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi
Relacionados53
ResumoThe Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.The Pesaran CD test is a general diagnostic procedure for detecting cross-sectional dependence in panel data models. Developed by M. Hashem Pesaran (2021), it is applicable to both balanced and unbalanced panels with large N and T, and retains validity under heterogeneous slope coefficients. The test is widely adopted in empirical economics, finance, and political economy as a prerequisite check before selecting appropriate estimators or unit-root tests for panel datasets.
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ScholarGateComparar métodos: Granger Causality · Pesaran CD Test. Recuperado em 2026-06-19 de https://scholargate.app/pt/compare