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| 稳健Engle-Granger协整检验× | 恩格尔-格兰杰协整检验× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1987 (base); robust variants 2000s–2020s | 1987 |
| 提出者≠ | Engle & Granger (1987); robust extensions by subsequent authors including Hao & Shaffer and others | Robert F. Engle and Clive W. J. Granger |
| 类型 | Cointegration test | Cointegration test |
| 开创性文献 | Engle, 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 ↗ |
| 别名 | robust EG cointegration, outlier-robust cointegration test, robust two-step cointegration, robust EG test | EG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test |
| 相关 | 5 | 5 |
| 摘要≠ | The 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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