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Teste de Cointegração Não Linear de Johansen×Modelo de Correção de Erros Vetorial (VECM)×
ÁreaEconometriaEconometria
FamíliaRegression modelRegression model
Ano de origem20011987
Autor originalBreitung (2001), building on Johansen (1988, 1991)Robert F. Engle and Clive W. J. Granger
TipoNonparametric rank-based cointegration testMultivariate time-series model
Fonte seminalBreitung, J. (2001). Rank tests for nonlinear cointegration. Journal of Business and Economic Statistics, 19(3), 331-340. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Outros nomesnonlinear cointegration test, threshold Johansen cointegration, rank test for nonlinear cointegration, nonlinear VECM cointegrationVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Relacionados35
ResumoNonlinear 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 Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGateComparar métodos: Nonlinear Johansen Cointegration · Vector Error Correction Model. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare