Testing for structural change of AR model to threshold AR model

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Abstract

The purpose of this article is to develop the likelihood ratio test for the structural change of an AR model to a threshold AR model. It is shown that the log-likelihood ratio test converges to the maxima of a two-parameter Gaussian process in distribution. This limiting distribution is novel and we tabulate the critical values. Some simulations are carried out to examine the finite-sample performance of this test statistic. This article also includes a weak convergence of a two-parameter marked empirical process, which is of independent interest. © 2011 Blackwell Publishing Ltd.

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Berkes, I., Horváth, L., Ling, S., & Schauer, J. (2011). Testing for structural change of AR model to threshold AR model. Journal of Time Series Analysis, 32(5), 547–565. https://doi.org/10.1111/j.1467-9892.2010.00714.x

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