Abstract
The information-criterion-based model selection method for detecting a unit root is proposed. The simulation results suggest that the performances of the proposed method are usually comparable to and sometimes better than those of the conventional unit-root tests. The advantages of the proposed method in practical applications are also discussed.
DOI
10.22237/jmasm/1177993380
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
