ABSTRACT
Time series model selection methodology is based on the premise that a model can be identified by analyzing the data and applying diagnostic tests to competing models. However, many tests, such as those for unit roots, can have high type I and type II errors in small samples, so the risk of choosing an inappropriate model can be high.
