Testing for a change in persistence in the presence of non-stationary volatility
Abstract
In this paper we consider tests for the null of (trend-) stationarity against the alternative of a change in persistence at some (known or unknown) point in the observed sample, either from I(0) to I(1) behaviour or vice versa, of, inter alia, [Kim, J., 2000. Detection of change in persistence of a linear time series. Journal of Econometrics 95, 97-116]. We show that in circumstances where the innovation process displays non-stationary unconditional volatility of a very general form, which includes single and multiple volatility breaks as special cases, the ratio-based statistics used to test for persistence change do not have pivotal limiting null distributions. Numerical evidence suggests that this can cause severe over-sizing in the tests. In practice it may therefore be hard to discriminate between persistence change processes and processes with constant persistence but which display time-varying unconditional volatility. We solve the identified inference problem by proposing wild bootstrap-based implementations of the tests. Monte Carlo evidence suggests that the bootstrap tests perform well in finite samples. An empirical illustration using USÂ price inflation data is provided.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 147 (2008)
Issue (Month): 1 (November)
Pages: 84-98
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Handle: RePEc:eee:econom:v:147:y:2008:i:1:p:84-98
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Related research
Keywords: Persistence change Non-stationary volatility Wild bootstrap;Other versions of this item:
- Giuseppe Cavaliere & A. M. Robert Taylor, 2006. "Testing for a change in persistence in the presence of non-stationary volatility," Discussion Papers 06/04, University of Nottingham, Granger Centre for Time Series Econometrics.
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Heinen, Florian & Sibbertsen, Philipp & Kruse, Robinson, 2009.
"Forecasting long memory time series under a break in persistence,"
Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover
dp-433, Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, School of Economics and Management, University of Aarhus.
- Andreea Halunga & Chris D. Orme & Takashi Yamagata, 2011. "A Heteroskedasticity Robust Breusch-Pagan Test for Contemporaneous Correlation in Dynamic Panel Data Models," The School of Economics Discussion Paper Series 1118, Economics, The University of Manchester.
- Heinen, Florian & Willert, Juliane, 2011. "Monitoring a change in persistence of a long range dependent time series," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-479, Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Aleksandar Zaklan & Jan Abrell & Anne Neumann, 2011. "Stationarity Changes in Long-Run Fossil Resource Prices: Evidence from Persistence Break Testing," Discussion Papers of DIW Berlin 1152, DIW Berlin, German Institute for Economic Research.
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