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Engle-Granger Cointegration Test/Evidence
Method evidence record

Engle-Granger Cointegration Test

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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Source record

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

Engle-Granger Two-Step 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
  • Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. · ISBN 978-0691042893
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketARIMA modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketAugmented Dickey-Fuller unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGranger Causality Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPhillips-Perron unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Error Correction Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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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