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非线性 Johansen 协整检验×非线性自回归分布式滞后 (NARDL) 模型×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份20012014
提出者Breitung (2001), building on Johansen (1988, 1991)Shin, Yu & Greenwood-Nimmo
类型Nonparametric rank-based cointegration testNonlinear cointegration model
开创性文献Breitung, J. (2001). Rank tests for nonlinear cointegration. Journal of Business and Economic Statistics, 19(3), 331-340. 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 ↗
别名nonlinear cointegration test, threshold Johansen cointegration, rank test for nonlinear cointegration, nonlinear VECM cointegrationNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
相关35
摘要Nonlinear 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 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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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Nonlinear Johansen Cointegration · Nonlinear ARDL. 于 2026-06-18 检索自 https://scholargate.app/zh/compare