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Teste de Hausman de Fourier×Teste de Causalidade de Granger×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem2000s–2010s1969
Autor originalExtends Hausman (1978) using Gallant's (1981) Fourier flexible functional form; applied in panel/time-series settings by Christopoulos & Leon-Ledesma (2004) and subsequent literatureClive W. J. Granger
TipoSpecification / endogeneity testTime-series predictive causality test
Fonte seminalChristopoulos, D. K., & Leon-Ledesma, M. A. (2004). Current account sustainability in the US: What do we really know about it? Journal of International Money and Finance, 23(5), 821–840. DOI ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Outros nomesFourier-Hausman endogeneity test, Fourier augmented Hausman test, nonlinear Hausman test, flexible Hausman specification testGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Relacionados55
ResumoThe Fourier Hausman test extends the classical Hausman endogeneity test by augmenting the regression with Fourier trigonometric terms — sines and cosines of time — so that the test remains valid even when the data-generating process contains smooth structural breaks or gradual nonlinearities that conventional linear specifications miss.The 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.
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ScholarGateComparar métodos: Fourier Hausman test · Granger Causality. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare