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 language | English |
|---|---|
| Pages (from-to) | 547-565 |
| Number of pages | 19 |
| Journal | Journal of Time Series Analysis |
| Volume | 32 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Sept 2011 |
Keywords
- AR model
- Likelihood ratio test
- Marked empirical process
- Structural change
- Threshold AR model
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