This paper analyzes the problem of testing for change points in processes by CUSUM test using asymptotic theory. The limiting distribution of test statistic is derived and Monte Carlo simulation is provided. It shown that the empirical power not only depends on the sample size, but is sensitive to the magnitude of location of structural breaks.
Change Points, CUSUM Test, Asymptotic Distribution, AR(P) Processes.
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