Cointegration by Parts: Locating Cointegration in Time

Abstract

Tests for cointegration are typically applied to a single window spanning the entire sample, assuming that the long-run relationship holds throughout. When it holds over only a part of the sample, such tests lose power, because the stationary episode is diluted by periods without cointegration. We propose three statistics for testing whether two or more series cointegrate only over a part of the sample, each an infimum of the Engle-Granger statistic over recursive, backward-expanding, or doubly-flexible windows. We derive their limiting distributions and establish which alternatives each is consistent against. Only the doubly-flexible statistic has power against both break directions. Inspired by the seminal work of James G. MacKinnon, critical values are obtained by simulation and summarized through response surface regressions. We apply the tests to global mean sea level and global mean surface temperature anomalies. All three reject the null of no cointegration at the 5% level, locating it in a sub-period of the 1880–2019 record that coincides with documented discontinuities in sea surface temperature data collection.

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Recommended citation

Text

Olivia Kvist and J. Eduardo Vera-Valdés. 2026. “Cointegration by Parts: Locating Cointegration in Time.” arXiv preprint arXiv:2609.10020.

BibTex

@article{kvist2026cointegrationparts,
      title={Cointegration by Parts: Locating Cointegration in Time}, 
      author={Olivia Kvist and J. Eduardo Vera-Valdés},
      year={2026},
      doi={10.48550/arXiv.2609.10020},
      journal={arXiv},
      url={https://arxiv.org/abs/2609.10020}, 
}