Regression-Based Unit Root Tests with Recursive Mean Adjustment for Seasonal and Nonseasonal Time Series
AbstractThis article considers tests for (seasonal) unit roots in a univariate time-series process that are similar with respect to both the initial values of the process and the possibility of (differential seasonal) drift under the (seasonal) unit root null. In contrast to existing approaches, the technique of recursive (seasonal) de-meaning and (seasonal) de-trending of the process is adopted. Representations are derived for the limiting distributions of the proposed statistics under the (seasonal) unit root null and under near (seasonal) integration. In the nonseasonal case the asymptotic local power of the proposed test is shown to exceed that of existing tests when the initial observation is drawn from the stationary distribution of the process. The proposed tests also display superior finite sample size and power properties to conventional seasonal unit root tests and variants of such tests constructed using simple symmetric least squares and weighted symmetric least squares estimation.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 20 (2002)
Issue (Month): 2 (April)
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- Stephen Leybourne & Tae-Hwan Kim & Paul Newbold, 2005.
"Examination of Some More Powerful Modifications of the Dickey-Fuller Test,"
Journal of Time Series Analysis,
Wiley Blackwell, vol. 26(3), pages 355-369, 05.
- Steve Leybourne & Paul Newbold & Tae-Hwan Kim, 2003. "Examination Of Some More Powerful Modifications Of The Dickey- Fuller Test," Econometrics 0311007, EconWPA.
- Jürgen Wolters & Uwe Hassler, 2006.
"Unit root testing,"
AStA Advances in Statistical Analysis,
Springer, vol. 90(1), pages 43-58, March.
- Kim, Hyeongwoo & Durmaz, Nazif, 2012.
"Bias correction and out-of-sample forecast accuracy,"
International Journal of Forecasting,
Elsevier, vol. 28(3), pages 575-586.
- Hyeongwoo Kim & Nazif Durmaz, 2010. "Bias Correction and Out-of-Sample Forecast Accuracy," Auburn Economics Working Paper Series auwp2010-02, Department of Economics, Auburn University.
- Kim, Hyeongwoo & Durmaz, Nazif, 2009. "Bias Correction and Out-of-Sample Forecast Accuracy," MPRA Paper 16780, University Library of Munich, Germany.
- Kim, Hyeongwoo & Moh, Young-Kyu, 2012.
"Examining the evidence of purchasing power parity by recursive mean adjustment,"
Elsevier, vol. 29(5), pages 1850-1857.
- Kim, Hyeongwoo & Moh, Young-Kyu, 2010. "Examining the Evidence of Purchasing Power Parity by Recursive Mean Adjustment," MPRA Paper 22712, University Library of Munich, Germany.
- Hyeongwoo Kim & Young-Kyu Moh, 2010. "Examining the Evidence of Purchasing Power Parity by Recursive Mean Adjustment," Auburn Economics Working Paper Series auwp2010-08, Department of Economics, Auburn University.
- Meng, Ming & Lee, Hyejin & Cho, Myeong Hyeon & Lee, Junsoo, 2013. "Impacts of the initial observation on unit root tests using recursive demeaning and detrending procedures," Economics Letters, Elsevier, vol. 120(2), pages 195-199.
- Lee, Hyejin & Meng, Ming & Lee, Junsoo, 2012. "Performance of nonlinear instrumental variable unit root tests using recursive detrending methods," Economics Letters, Elsevier, vol. 117(1), pages 214-216.
- Smeekes Stephan, 2009.
"Detrending Bootstrap Unit Root Tests,"
056, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
- Chambers, Marcus J. & Ercolani, Joanne S. & Taylor, A.M. Robert, 2014.
"Testing for seasonal unit roots by frequency domain regression,"
Journal of Econometrics,
Elsevier, vol. 178(P2), pages 243-258.
- Marcus J. Chambers & Joanne S. Ercolani & A. M. Robert Taylor, 2010. "Testing for seasonal unit roots by frequency domain regression," Discussion Papers 10/02, University of Nottingham, Granger Centre for Time Series Econometrics.
- Taipalus, Katja, 2012. "Detecting asset price bubbles with time-series methods," Scientific Monographs E:47/2012, Bank of Finland.
- Taipalus , Katja, 2012. "Signaling asset price bubbles with time-series methods," Research Discussion Papers 7/2012, Bank of Finland.
- Kim, Hyeongwoo & Stern, Liliana V. & Stern, Michael L., 2010. "Half-life bias correction and the G7 stock markets," Economics Letters, Elsevier, vol. 109(1), pages 1-3, October.
- Paulo M. M. Rodrigues, 2013. "Recursive adjustment, unit root tests and structural breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 62-82, 01.
- Donggyu Sul, 2005. "New Panel Unit Root Tests under Cross Section Dependence for Practitioners," Econometrics 0506010, EconWPA.
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