The behaviour of Dickey–Fuller and Phillips–Perron testsunder the alternative hypothesis

Abstract

The two most commonly applied tests of the null hypothesis of a unit autoregres-sive root in a time series generating process are examined. Simple theoretical calculations, conÞrmed by simulation evidence, suggest that the probabilities of rejection of the null hypothesis of those tests can differ substantially when the true generating process is a stationary second-order autoregression.