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Bayesian PP unit root test/Evidence
Method evidence record

Bayesian PP unit root test

The Bayesian Phillips-Perron unit root test combines the nonparametric long-run variance correction of the classical Phillips-Perron test with a Bayesian inferential framework. Instead of a p-value, it yields a posterior probability or Bayes factor quantifying evidence for or against a unit root, allowing researchers to incorporate prior economic knowledge and obtain probability statements directly about the persistence of a time series.

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Source record

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

Bayesian Phillips-Perron Unit Root Test
Taxonomic method record · regression-model / econometrics
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. · DOI 10.1093/biomet/75.2.335
  • Sims, C. A., & Uhlig, H. (1991). Understanding unit rooters: A helicopter tour. Econometrica, 59(6), 1591-1599. · DOI 10.2307/2938280
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Related methods

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

Taxonomic bucketAugmented Dickey-Fuller unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian ADF unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VAR modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPhillips-Perron unit root testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketZivot-Andrews Structural Break Testmachine-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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