ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

اختبار سببية غرانجر (Granger Causality Test)×اختبار حدود ARDL (اختبار حدود بيسران)×اختبار التكامل المشترك (يوهانسن / إنجل-جرانجر)×
المجالالاقتصاد القياسيالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression modelRegression model
سنة النشأة196920011988
صاحب الطريقةClive W. J. GrangerPesaran, Shin & SmithEngle & Granger (1987); Johansen (1988)
النوعTime-series predictive causality testCointegration test / Autoregressive distributed lag modelTime-series cointegration test
المصدر التأسيسيGranger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. 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 ↗Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. DOI ↗
الأسماء البديلةGranger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik TestiPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)Johansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)
ذات صلة545
الملخصThe Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.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.The cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).
ScholarGateمجموعة البيانات
  1. v1
  2. 1 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Granger Causality · ARDL Bounds Test · Cointegration Test. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare