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Test KPSS de Ruptura Estructural×Test de cointegración de Engle-Granger×
CampoEconometríaEconometría
FamiliaRegression modelRegression model
Año de origen2002-20051987
Autor originalKurozumi (2002); Carrion-i-Silvestre, Del Barrio & Lopez-Bazo (2005)Robert F. Engle and Clive W. J. Granger
TipoStationarity test with structural breaksCointegration test
Fuente seminalCarrion-i-Silvestre, J. L., Del Barrio, T., & Lopez-Bazo, E. (2005). Breaking the panels: An application to the GDP per capita. Econometrics Journal, 8(2), 159-175. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
AliasKPSS test with breaks, structural break stationarity test, KPSS break test, SB-KPSSEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
Relacionados65
ResumenThe structural break KPSS test extends the standard Kwiatkowski-Phillips-Schmidt-Shin (KPSS) stationarity test to allow for one or more known or unknown structural breaks in the level or trend of a time series. Under the null hypothesis the series is stationary around a broken deterministic component, enabling researchers to distinguish genuine unit-root behaviour from apparent non-stationarity caused by regime shifts.The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
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ScholarGateComparar métodos: Structural Break KPSS Test · Engle-Granger Cointegration Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare