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非线性自回归分布式滞后模型 (NARDL)×ARDL 边界检验(Pesaran 边界检验)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份20142001
提出者Shin, Yu, and Greenwood-NimmoPesaran, Shin & Smith
类型Nonlinear cointegration modelCointegration test / Autoregressive distributed lag model
开创性文献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. DOI ↗Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗
别名NARDL, nonlinear ARDL, asymmetric ARDL, nonlinear bounds testPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
相关44
摘要The Nonlinear ARDL (NARDL) model extends the linear ARDL bounds-testing framework to allow asymmetric long-run and short-run relationships. By decomposing an explanatory variable into its positive and negative partial sums, it tests whether increases and decreases in a regressor have different effects on the dependent variable — a feature that linear cointegration methods cannot capture.The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.
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ScholarGate方法对比: Nonlinear NARDL · ARDL Bounds Test. 于 2026-06-17 检索自 https://scholargate.app/zh/compare