Order determination in general vector autoregressions
Abstract
In the application of autoregressive models the order of the model is often estimated using either a sequence of likelihood ratio tests, a likelihood based information criterion, or a residual based test. The properties of such procedures has been discussed extensively under the assumption that the characteristic roots of the autoregression are stationary. While non-stationary situations have also been considered the results in the literature depend on conditions to the characteristic roots. It is here shown that these methods for lag length determination can be used regardless of the assumption to the characteristic roots and also in the presence of deterministic terms. The proofs are based on methods developed by C. Z. Wei in his joint work with T. L. Lai.
Cite
@article{arxiv.math/0702779,
title = {Order determination in general vector autoregressions},
author = {Bent Nielsen},
journal= {arXiv preprint arXiv:math/0702779},
year = {2007}
}
Comments
Published at http://dx.doi.org/10.1214/074921706000000978 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)