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Cointegración de Engle-Granger con Parámetros Variables en el Tiempo×Prueba de Cointegración de Johansen y Modelo de Corrección de Errores Vectorial×
CampoEconometríaFinanzas
FamiliaRegression modelRegression model
Año de origen1987/19991991
Autor originalEngle & Granger (1987) for cointegration; Park & Hahn (1999) for TVP extensionSøren Johansen
TipoTime-series cointegration modelMultivariate cointegration / vector error correction model
Fuente seminalEngle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
AliasTVP Engle-Granger cointegration, time-varying cointegration, TVP-EG cointegration, varying-coefficient cointegrationJohansen test, VECM, vector error correction model, multivariate cointegration
Relacionados33
ResumenTime-varying parameter (TVP) Engle-Granger cointegration extends the classical two-step Engle-Granger framework by allowing the long-run relationship between integrated series to evolve over time. Instead of assuming a fixed cointegrating vector, the cointegrating coefficients are modelled as stochastic processes — typically via a random walk — and estimated with the Kalman filter or related state-space methods.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.
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ScholarGateComparar métodos: Time-varying parameter Engle-Granger cointegration · Johansen Cointegration Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare