Testing for a break in persistence under long-range dependencies and mean shifts
We show that the CUSUM-squared based test for a change in persistence by Leybourne et al. (2007) is not robust against shifts in the mean. A mean shift leads to serious size distortions. Therefore, adjusted critical values are needed when it is known that the data generating process has a mean shift. These are given for the case of one mean break. Response curves for the critical values are derived and a Monte Carlo study showing the size and power properties under this general de-trending is given
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Volume (Year): 53 (2012)
Issue (Month): 2 (May)
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"Testing for a break in persistence under long-range dependencies and mean shifts,"
Springer, vol. 53(2), pages 357-370, May.
- Sibbertsen, Philipp & Willert, Juliane, 2009. "Testing for a break in persistence under long-range dependencies and mean shifts," Hannover Economic Papers (HEP) dp-422, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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