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نموذج الانحدار الذاتي غير الخطي (NARDL)×نموذج تصحيح الخطأ المتجهي (VECM)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة20141987
صاحب الطريقةShin, Yu & Greenwood-NimmoRobert F. Engle and Clive W. J. Granger
النوعNonlinear cointegration modelMultivariate time-series model
المصدر التأسيسيShin, 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 ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
الأسماء البديلةNARDL, nonlinear bounds test, asymmetric ARDL, asymmetric cointegration modelVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
ذات صلة55
الملخصThe 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.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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  1. v1
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ScholarGateقارن الطرق: Nonlinear ARDL · Vector Error Correction Model. استُرجع بتاريخ 2026-06-15 من https://scholargate.app/ar/compare