Searching for cointegration in a dynamic system
Abstract, which can be zero, stable cointegrating vectors against the alternative hypothesis of more than r 0 cointegrating vectors existing in some subsample. The tests proposed follow Breitung (2002). They are non-parametric in nature and are invariant to linear transformations of the series. A distinctive feature is that they allow us to detect the hidden cointegration when the system is affected by an unknown number of regime changes of unknown timing. We analyse the limiting distributions and provide tables of critical values. Various extensions are then discussed which incorporate a priori information to improve the power. A simple correction is also proposed to yield improved finite sample performance. Finally simulations are conducted to evaluate the size and power in finite samples. Copyright Royal Economic Society 2007
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Bibliographic InfoArticle provided by Royal Economic Society in its journal Econometrics Journal.
Volume (Year): 10 (2007)
Issue (Month): 3 (November)
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- Kejriwal, Mohitosh & Perron, Pierre, 2010.
"Testing for Multiple Structural Changes in Cointegrated Regression Models,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 28(4), pages 503-522.
- Mohitosh Kejriwal & Pierre Perron, 2008. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Purdue University Economics Working Papers 1216, Purdue University, Department of Economics.
- Mohitosh Kejriwal & Pierre Perron, 2007. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Boston University - Department of Economics - Working Papers Series wp2008-020, Boston University - Department of Economics, revised Nov 2008.
- Mohitosh Kejriwal & Pierre Perron, 2006. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Boston University - Department of Economics - Working Papers Series WP2006-051, Boston University - Department of Economics.
- Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," PSE Working Papers halshs-00564897, HAL.
- repec:hal:wpaper:halshs-00564897 is not listed on IDEAS
- Davidson, James & Monticini, Andrea, 2010.
"Tests for cointegration with structural breaks based on subsamples,"
Computational Statistics & Data Analysis,
Elsevier, vol. 54(11), pages 2498-2511, November.
- James Davidson & Andrea Monticini, 2007. "Tests for Cointegration with Structural Breaks Based on Subsamples," Discussion Papers 0704, Exeter University, Department of Economics.
- Clark, Steven P. & Coggin, T. Daniel, 2011. "Was there a U.S. house price bubble? An econometric analysis using national and regional panel data," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 189-200, May.
- Peri, Massimo & Baldi, Lucia, 2013. "The effect of biofuel policies on feedstock market: Empirical evidence for rapeseed oil prices in EU," Resource and Energy Economics, Elsevier, vol. 35(1), pages 18-37.
- Wang, Yiming, 2011. "The stability of long-run money demand in the United States: A new approach," Economics Letters, Elsevier, vol. 111(1), pages 60-63, April.
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