Regression modelEconometrics / time series

Bayesian Phillips-Perron 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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Sources

  1. 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
  2. Sims, C. A., & Uhlig, H. (1991). Understanding unit rooters: A helicopter tour. Econometrica, 59(6), 1591-1599. DOI: 10.2307/2938280

Related methods

ScholarGateBayesian PP unit root test (Bayesian Phillips-Perron Unit Root Test). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/bayesian-pp-unit-root-test