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Robust Engle-Granger Cointegration/Evidence
Method evidence record

Robust Engle-Granger Cointegration

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.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Engle-Granger Cointegration Test
Taxonomic method record · regression-model / econometrics
  • Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. · DOI 10.2307/1913236
  • Hao, K., & Shaffer, A. (2021). Robust cointegration testing in the presence of outliers. Journal of Statistical Computation and Simulation, 91(10), 2137–2154. · URL
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Related methods

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Taxonomic bucketEngle-Granger Cointegration Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFourier Engle-Granger cointegrationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust OLSmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust VECMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural break Engle-Granger cointegrationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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