期刊
JOURNAL OF STATISTICAL PLANNING AND INFERENCE
卷 143, 期 10, 页码 1744-1752出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jspi.2013.05.009
关键词
Binary time series; Change point analysis; Extreme value asymptotics; Autoregressive models for binary time series
资金
- Czech Science Foundation project DYME Dynamic Models in Economics [P402/12/G097]
We study autoregressive models for binary time series with possible changes in their parameters. A procedure for detection and testing of a single change is suggested. The limiting behavior of the test statistic is derived. The performance of the test is analyzed under the null hypothesis as well as under different alternatives via a simulation study. Application of the method to a real data set on US recession is provided as an illustration. (C) 2013 Elsevier B.V. All rights reserved.
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