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Teste KPSS de Fourier para Estacionariedade com Rupturas Estruturais Suaves×Teste de estacionariedade KPSS×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20061992
Autor originalBecker, Enders, and LeeKwiatkowski, Phillips, Schmidt & Shin
TipoStationarity testStationarity test (reverse of unit-root tests)
Fonte seminalBecker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409. DOI ↗Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. DOI ↗
Outros nomesFourier KPSS, flexible Fourier stationarity test, F-KPSS, KPSS with Fourier approximationKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
Relacionados34
ResumoThe Fourier KPSS test extends the standard KPSS stationarity test by embedding a flexible Fourier series in the deterministic component of the model. This approach captures smooth, gradual structural breaks in the level or trend of a time series without requiring the researcher to specify the number or timing of those breaks, yielding more reliable inference under structural change.The KPSS test, introduced by Kwiatkowski, Phillips, Schmidt and Shin in 1992, tests the null hypothesis that a series is stationary against the alternative that it contains a unit root — the reverse of the ADF and Phillips-Perron tests. By flipping the burden of proof, it is designed to be used alongside unit-root tests so that the two can confirm one another and expose ambiguous, borderline cases.
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ScholarGateComparar métodos: Fourier KPSS test · KPSS Test. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare