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Prueba de cointegración de Johansen no lineal×Prueba de Cointegración de Johansen y Modelo de Corrección de Errores Vectorial×
CampoEconometríaFinanzas
FamiliaRegression modelRegression model
Año de origen20011991
Autor originalBreitung (2001), building on Johansen (1988, 1991)Søren Johansen
TipoNonparametric rank-based cointegration testMultivariate cointegration / vector error correction model
Fuente seminalBreitung, J. (2001). Rank tests for nonlinear cointegration. Journal of Business and Economic Statistics, 19(3), 331-340. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Aliasnonlinear cointegration test, threshold Johansen cointegration, rank test for nonlinear cointegration, nonlinear VECM cointegrationJohansen test, VECM, vector error correction model, multivariate cointegration
Relacionados33
ResumenNonlinear Johansen cointegration extends the classical Johansen framework to detect long-run equilibrium relationships among integrated time series when the adjustment process is nonlinear. Using rank-based transformations, the approach tests for cointegration without assuming a linear error-correction mechanism, making it suitable for economic relationships characterized by asymmetric or threshold dynamics.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.
ScholarGateConjunto de datos
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  2. 2 Fuentes
  3. PUBLISHED
  1. v1
  2. 2 Fuentes
  3. PUBLISHED

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ScholarGateComparar métodos: Nonlinear Johansen Cointegration · Johansen Cointegration Test. Recuperado el 2026-06-18 de https://scholargate.app/es/compare