Bai and Perron's and spectral density methods for structural change detection in the US inflation process
AbstractThis paper addresses the issue of estimating the number of breaks and their locations in the monthly US inflation series using two different approaches to testing for structural changes. The first approach considers Bai and Perron's selection procedure based on a sequence of tests. This approach focuses on the instability problem in time. The second method uses a test similar to the one based on Kolmogorov-Smirnov statistics applied to the evolutionary spectrum. The results obtained are similar and economically significant.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 11 (2004)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.tandfonline.com/RAEL20
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.:
- Mohamed Safouane Ben Aissa & Jamel Jouini, 2003. "Structural breaks in the US inflation process," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 633-636.
- Perron, P. & Bai, J., 1995.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Cahiers de recherche
9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
- Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, 06.
- Ahamada, Ibrahim & Boutahar, Mohamed, 2003. "Erratum to "Tests for covariance stationarity and white noise, with an application to Euro/US dollar exchange rate: An approach based on the evolutionary spectral density" [Economics Letters," Economics Letters, Elsevier, vol. 78(2), pages 293-293, February.
- Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-85, March.
- Ahamada, Ibrahim, 2002. "Tests for covariance stationarity and white noise, with an application to Euro/US dollar exchange rate: An approach based on the evolutionary spectral density," Economics Letters, Elsevier, vol. 77(2), pages 177-186, October.
- Artis, Michael J & Bladen-Hovell, Robin & Nachane, Dilip M, 1992. "Instability of the Velocity of Money: A New Approach Based on the Evolutionary Spectrum," CEPR Discussion Papers 735, C.E.P.R. Discussion Papers.
- Russell, Bill, 2011.
"Non-stationary inflation and panel estimates of United States short and long-run Phillips curves,"
Journal of Macroeconomics,
Elsevier, vol. 33(3), pages 406-419, September.
- Bill Russell, 2007. "Non-Stationary Inflation and Panel Estimates of United States Short and Long-run Phillips curves," Dundee Discussion Papers in Economics 200, Economic Studies, University of Dundee.
- Jamel Jouini, 2006. "Bootstrap Tests in Bivariate VAR Process with Single Structural Change : Power versus Corrected Size and Empirical Illustration," Working Papers halshs-00410759, HAL.
- Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Society for Computational Economics, vol. 31(3), pages 243-254, April.
- Singh, Nirvikar & Cortuk, Orcan, 2010.
"Structural Change and Growth in India,"
Santa Cruz Department of Economics, Working Paper Series
qt7fd4n35w, Department of Economics, UC Santa Cruz.
- Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
- Jeddy, Mohamed & Larue, Bruno, 2012. "Mergers, concurrent marketing mechanisms and the performance of sequential auctions," Working Papers 126945, Structure and Performance of Agriculture and Agri-products Industry (SPAA).
- Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
- Ibrahim Ahamada & Jamel Jouini & Mohamed Boutahar, 2004. "Detecting multiple breaks in time series covariance structure: a non-parametric approach based on the evolutionary spectral density," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1095-1101.
- Essahbi Essaadi & Mohamed Boutahar, 2010.
"A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach,"
AccessEcon, vol. 30(2), pages 1054-1070.
- Essahbi Essaadi & Mohamed Boutahar, 2008. "A Measure of Variability in Comovement for Economic Variables : a Time-Varying Coherence Function Approach," Post-Print halshs-00333582, HAL.
- Essahbi Essaadi & Mohamed Boutahar, 2008. "A Measure of Variability in Comovement for Economic Variables : a Time-Varying Coherence Function Approach," Post-Print halshs-00550460, HAL.
- Strikholm, Birgit, 2006. "Determining the number of breaks in a piecewise linear regression model," Working Paper Series in Economics and Finance 648, Stockholm School of Economics.
- Konstantin Kholodilin & Vincent Wenxiong Yao, 2006. "Modelling the structural break in volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 417-422.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.