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강건 조한센 공적분 검정×Engle-Granger 공적분 검정×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1988–20101987
창시자Johansen (1988, 1991); robust extensions by Cavaliere, Rahbek, Taylor (2010) and othersRobert F. Engle and Clive W. J. Granger
유형Cointegration rank test (robust variant)Cointegration test
원전Johansen, 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 ↗
별칭outlier-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
관련55
요약The 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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ScholarGate방법 비교: Robust Johansen Cointegration · Engle-Granger Cointegration Test. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare