Testing in Unobserved Components Models
AbstractThis article reviews recent work on testing for the presence of non-stationary unobserved components and presents it in a unified way. Tests against random walk components and seasonal components are given and it is shown how the procedures may be extended to multivariate models and models with structural breaks. Many of the test statistics have an asymptotic distribution belonging to the class of generalized Cramervon Mises distributions. A test for the number of common trends, or equivalently, co-integrating vectors, is also described. Copyright © 2001 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.
Volume (Year): 20 (2001)
Issue (Month): 1 (January)
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Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966
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