Identifying I(0) series in macro-panels: On the usefulness of sequential panel selection methods

Sequential panel selection methods (spsm) are based on the repeated application of panel unit root tests and are increasingly used to identify I ( 0 ) time series in macro-panels. We check the reliability of spsms by using Monte Carlo simulations based on generating the individual test statistics and the p values to be combined into panel unit root tests, both under the unit root null and under selected local alternatives. The analysis is carried out considering both independent and dependent test statistics. We show that spsms do not possess better classification performances than conventional univariate tests.