Testing for structural change of AR model to threshold AR model

István Berkes*, Lajos Horváth, Shiqing Ling, Johannes Schauer

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

12 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)547-565
Number of pages19
JournalJournal of Time Series Analysis
Volume32
Issue number5
DOIs
Publication statusPublished - Sept 2011

Keywords

  • AR model
  • Likelihood ratio test
  • Marked empirical process
  • Structural change
  • Threshold AR model

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