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اختبار حدود ARDL (اختبار حدود بيسران)×اختبار سببية غرانجر (Granger Causality Test)×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة20011969
صاحب الطريقةPesaran, Shin & SmithClive W. J. Granger
النوعCointegration test / Autoregressive distributed lag modelTime-series predictive causality test
المصدر التأسيسيPesaran, 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 ↗Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
الأسماء البديلةPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
ذات صلة45
الملخصThe 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 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.
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ScholarGateقارن الطرق: ARDL Bounds Test · Granger Causality. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare