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اختبار جوهانسن المتين للتكامل المشترك×اختبار التكامل المشترك لإنجل-جرانجر×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة1988–20101987
صاحب الطريقةJohansen (1988, 1991); robust extensions by Cavaliere, Rahbek, Taylor (2010) and othersRobert F. Engle and Clive W. J. Granger
النوعCointegration rank test (robust variant)Cointegration test
المصدر التأسيسيJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551–1580. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
الأسماء البديلةoutlier-robust Johansen test, robust trace test, robust maximum eigenvalue test, robust cointegration rank testEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
ذات صلة55
الملخصThe Robust Johansen Cointegration test extends the classical Johansen (1988, 1991) likelihood-ratio framework for determining the cointegrating rank of a multivariate I(1) system to settings where standard Gaussian assumptions fail — in particular when the data exhibit outliers, fat-tailed innovations, or conditional heteroskedasticity. Robust modifications adjust residuals, re-weight observations, or bootstrap critical values so that rank inference remains valid under these violations.The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
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ScholarGateقارن الطرق: Robust Johansen Cointegration · Engle-Granger Cointegration Test. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare