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Phillips-Perron unit root test

The Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes.

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Phillips-Perron Unit Root Test

Taksonomisk metoderegister · 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
Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. · ISBN 978-0691042893

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