IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v11y2004i2p109-115.html
   My bibliography  Save this article

Bai and Perron's and spectral density methods for structural change detection in the US inflation process

Author

Listed:
  • Mohamed Safouane Ben Aissa
  • Mohamed Boutahar
  • Jamel Jouini

Abstract

This 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.

Suggested Citation

  • Mohamed Safouane Ben Aissa & Mohamed Boutahar & Jamel Jouini, 2004. "Bai and Perron's and spectral density methods for structural change detection in the US inflation process," Applied Economics Letters, Taylor & Francis Journals, vol. 11(2), pages 109-115.
  • Handle: RePEc:taf:apeclt:v:11:y:2004:i:2:p:109-115
    DOI: 10.1080/1350485042000200213
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/1350485042000200213&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    2. Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, June.
    3. 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.
    4. 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.
    5. Ploberger, Werner & Kramer, Walter, 1992. "The CUSUM Test with OLS Residuals," Econometrica, Econometric Society, vol. 60(2), pages 271-285, March.
    6. 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.
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Essahbi Essaadi & Mohamed Boutahar, 2010. "A Measure of Variability in Comovement for Economic Variables: a Time-Varying Coherence Function Approach," Economics Bulletin, AccessEcon, vol. 30(2), pages 1054-1070.
    2. 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.
    3. Strikholm, Birgit, 2006. "Determining the number of breaks in a piecewise linear regression model," SSE/EFI Working Paper Series in Economics and Finance 648, Stockholm School of Economics.
    4. 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).
    5. Manai Daboussi, Olfa, 2014. "Inflation Targeting As a Monetary Policy Rule: Experience and Prospects," MPRA Paper 59336, University Library of Munich, Germany, revised 14 Oct 2014.
    6. 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.
    7. Olfa Manai Daboussi, 2016. "Enhanced Economic Stability and the Role of Inflation Targeting Policy: Empirical Study on Case of Developing Countries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(6), pages 352-362, June.
    8. Mohamed Boutahar & Jamel Jouini, 2007. "A Methodology For Detecting Breaks In The Mean And Covariance Structure Of Time Series," Working Papers halshs-00354249, HAL.
    9. Jouini, Jamel & Boutahar, Mohamed, 2005. "Evidence on structural changes in U.S. time series," Economic Modelling, Elsevier, vol. 22(3), pages 391-422, May.
    10. Cortuk, Orcan & Singh, Nirvikar, 2011. "Structural change and growth in India," Economics Letters, Elsevier, vol. 110(3), pages 178-181, March.
    11. Ahdi Ajmi & Adnen Ben Nasr & Mohamed Boutahar, 2008. "Seasonal Nonlinear Long Memory Model for the US Inflation Rates," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 243-254, April.
    12. Konstantin Kholodilin & Vincent Wenxiong Yao, 2006. "Modelling the structural break in volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 417-422.
    13. 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.
    14. repec:hal:journl:halshs-00333582 is not listed on IDEAS

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:11:y:2004:i:2:p:109-115. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.