Portmanteau Model Diagnostics and Tests for Nonlinearity: A Comparative Monte Carlo Study of Two Alternative Methods

Chris Brooks

Computational Economics, 1999, vol. 13, issue 3, 249-63

Abstract: This paper employs an extensive Monte Carlo study to test the size and power of the BDS and close return methods of testing for departures from independent and identical distribution. It is found that the finite sample properties of the BDS test are far superior and that the close return method cannot be recommended as a model diagnostic. Neither test can be reliably used for very small samples, while the close return test has low power even at large sample sizes. Citation Copyright 1999 by Kluwer Academic Publishers.

Date: 1999
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