Regression modelEconometrics / time series

Robust Phillips-Perron (PP) Unit Root Test

The Robust Phillips-Perron unit root test extends the classical PP test by applying corrections — such as heteroskedasticity-consistent covariance estimation or wild-bootstrap critical values — that maintain valid inference when the error variance of a time series is non-constant or exhibits unconditional heteroskedasticity, conditions under which the standard PP test is severely size-distorted.

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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. Cavaliere, G., & Taylor, A. M. R. (2008). Bootstrap unit root tests for time series with nonstationary volatility. Econometric Theory, 24(1), 43–71. DOI: 10.1017/S0266466608080043

Related methods

ScholarGateRobust PP Unit Root Test (Robust Phillips-Perron Unit Root Test). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/robust-pp-unit-root-test