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Test de Cointegració de Johansen i Model de Correcció d'Errors Vectorial×Model ARDL no lineal (NARDL)×
CampFinancesEconometria
FamíliaRegression modelRegression model
Any d'origen19912014
Autor originalSøren JohansenShin, Yu & Greenwood-Nimmo
TipusMultivariate cointegration / vector error correction modelNonlinear cointegration model
Font 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 ↗
ÀliesJohansen test, VECM, vector error correction model, multivariate cointegrationNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Relacionats35
ResumThe 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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ScholarGateCompara mètodes: Johansen Cointegration Test · Nonlinear ARDL. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare