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Prueba de Cointegración de Johansen y Modelo de Corrección de Errores Vectorial×Modelo ARDL no lineal (NARDL)×
CampoFinanzasEconometría
FamiliaRegression modelRegression model
Año de origen19912014
Autor originalSøren JohansenShin, Yu & Greenwood-Nimmo
TipoMultivariate cointegration / vector error correction modelNonlinear cointegration model
Fuente seminalJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer. link ↗
AliasJohansen test, VECM, vector error correction model, multivariate cointegrationNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Relacionados35
ResumenThe 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.The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing the regressor into cumulative positive and negative partial sums, it tests whether increases and decreases in a variable exert different effects on the outcome — a feature especially relevant in financial and energy economics where positive and negative shocks rarely cancel out symmetrically.
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ScholarGateComparar métodos: Johansen Cointegration Test · Nonlinear ARDL. Recuperado el 2026-06-19 de https://scholargate.app/es/compare