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Robustní test mezí ARDL pro kointegraci×Nelineární ARDL (NARDL) model×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku20192014
TvůrceSam, McNown & GohShin, Yu & Greenwood-Nimmo
TypCointegration testNonlinear cointegration model
Původní zdrojSam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141. 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 ↗
Další názvyRobust ARDL, Robust bounds testing approach, Sam-McNown-Goh bounds test, Bootstrap ARDL bounds testNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration model
Příbuzné35
ShrnutíThe Robust ARDL bounds test is an augmented version of the Pesaran-Shin-Smith (2001) ARDL bounds testing approach that resolves its two key weaknesses: size distortion under mixed integration orders and the degenerate-case problem. It introduces three separate test statistics — an overall F-test and two new Wald statistics for the dependent and independent variables — evaluated against bootstrap-generated critical values.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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ScholarGatePorovnat metody: Robust ARDL bounds test · Nonlinear ARDL. Získáno 2026-06-18 z https://scholargate.app/cs/compare