F-tests for lag length selection in augmented Dickey–Fuller regressions: some Monte Carlo evidence

Abstract

This paper investigates the empirical performance of sequential f-tests as a criterion for selecting the lag length in Augmented Dickey-Fuller regressions. This criterion performs approximately as well as the AIC and a criterion based on eliminating residual autocorrelation. However, no single criterion is clearly superior to the other two.