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Testing for Multiple Structural Changes in Cointegrated Regression Models Author info | Abstract | Publisher info | Download info | Related research | Statistics Mohitosh Kejriwal
Pierre Perron
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This paper considers issues related to testing for multiple structural changes in cointegrated systems. We derive the limiting distribution of the Sup-Wald test under mild conditions on the errors and regressors for a variety of testing problems. We show that even if the coefficients of the integrated regressors are held fixed but the intercept is allowed to change, the limit distributions are not the same as would prevail in a stationary framework. Including stationary regressors whose coefficients are not allowed to change does not affect the limiting distribution of the tests under the null hypothesis. We also propose a procedure that allows one to test the null hypothesis of, say, k changes, versus the alternative hypothesis of k + 1 changes. This sequential procedure is useful in that it permits consistent estimation of the number of breaks present. We show via simulations that our tests maintain the correct size in finite samples and are much more powerful than the commonly used LM tests, which suffer from important problems of non-monotonic power in the presence of serial correlation in the errors.
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Paper provided by Purdue University, Department of Economics in its series Purdue University Economics Working Papers with number
1216.
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Length: 41 pages
Date of creation: Nov 2008Date of revision:
Handle: RePEc:pur:prukra:1216Contact details of provider: Postal: Krannert Building, West Lafayette, IN 47907 Web page: http://www.krannert.purdue.edu/programs/phd More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Max Hapner).
Keywords: change-point ; sequential procedure ; wald tests ; unit roots ; cointegration ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
This paper has been announced in the following NEP Reports :
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Other versions:
Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Jing Zhou & Pierre Perron, 2008.
"Testing for Breaks in Coefficients and Error Variance: Simulations and Applications ,"
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Pierre Perron & Jing Zhou, 2008.
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Mohitosh Kejriwal & Pierre Perron, 2006.
"The Limit Distribution of the Estimates in Cointegrated Regression Models with Multiple Structural Changes ,"
Boston University - Department of Economics - Working Papers Series
WP2006-064, Boston University - Department of Economics.
[Downloadable!]
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