Big Data

Testing Stationarity In Small And Medium-Sized Samples When Disturbances Are Serially Correlated Forthcoming

Date Added: Nov 2009
Format: PDF

In this paper, the authors study the size distortions of the KPSS test for stationarity when serial correlation is present and samples are small and medium-sized. It is argued that two distinct sources of the size distortions can be identified. The first source is the finite-sample distribution of the long-run variance estimator used in the KPSS test, while the second source of the size distortions is the serial correlation not captured by the long-run variance estimator due to a too narrow choice of truncation lag parameter.