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강건 엥글-그레인저 공적분 검정×Engle-Granger 공적분 검정×
분야계량경제학계량경제학
계열Regression modelRegression model
기원 연도1987 (base); robust variants 2000s–2020s1987
창시자Engle & Granger (1987); robust extensions by subsequent authors including Hao & Shaffer and othersRobert F. Engle and Clive W. J. Granger
유형Cointegration testCointegration test
원전Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
별칭robust EG cointegration, outlier-robust cointegration test, robust two-step cointegration, robust EG testEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
관련55
요약The Robust Engle-Granger cointegration test adapts the classic two-step Engle-Granger procedure to withstand outliers, heavy-tailed error distributions, and additive noise that can severely distort standard residual-based cointegration inference. By substituting robust regression and robust unit-root testing for classical OLS and ADF steps, it yields reliable conclusions about long-run equilibrium relationships even when the data contain anomalous observations.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 Engle-Granger Cointegration · Engle-Granger Cointegration Test. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare