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Unit Root Testing against the Alternative Hypothesis of up to m Structural Breaks

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Abstract

In this paper we provide tests for the unit root hypothesis against the occurence of an unspecified number of breaks which may be larger than 2 but smaller that the maximum allowed number of breaks, m , in univariate time series models. The advocated procedure is considerably less computationally intensive than those widely used in the literature. We provide critical values for the test, examine its small sample properties through Monte Carlo experiments and apply the new test to the Nelson and Plosser macroeconomic series.

Suggested Citation

  • George Kapetanios, 2002. "Unit Root Testing against the Alternative Hypothesis of up to m Structural Breaks," Working Papers 469, Queen Mary University of London, School of Economics and Finance.
  • Handle: RePEc:qmw:qmwecw:wp469
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    File URL: http://www.econ.qmul.ac.uk/media/econ/research/workingpapers/archive/wp469.pdf
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    1. Nunes, Luis C. & Kuan, Chung-Ming & Newbold, Paul, 1995. "Spurious Break," Econometric Theory, Cambridge University Press, vol. 11(04), pages 736-749, August.
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    Cited by:

    1. BATTISTI,Michele, 2006. "Assessing persistence in the Italian rate of unemployment in presence of structural breaks and regional asymmetries, 1977 to 2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    2. Marcela Sabaté, 2009. "Vertical Specialization and Nonstationarities in International Trade Series," The Institute for International Integration Studies Discussion Paper Series iiisdp309, IIIS.
    3. Carlos Capistrán & Manuel Ramos-Francia, 2009. "Inflation Dynamics In Latin America," Contemporary Economic Policy, Western Economic Association International, vol. 27(3), pages 349-362, July.
    4. Dierk Herzer, 2005. "Does Trade Increase Total Factor Productivity: Cointegration Evidence for Chile," Ibero America Institute for Econ. Research (IAI) Discussion Papers 115, Ibero-America Institute for Economic Research.
    5. Alexeev, Vitali & Maynard, Alex, 2012. "Localized level crossing random walk test robust to the presence of structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3322-3344.
    6. Dierk HERZER & Felicitas NOWAK-LEHMANN D. & Boriss SILIVERSTOVS, 2006. "Export-Led Growth In Chile: Assessing The Role Of Export Composition In Productivity Growth," The Developing Economies, Institute of Developing Economies, vol. 44(3), pages 306-328.
    7. Tang, Chor Foon, 2011. "Multivariate Granger Causality and the Dynamic Relationship between Health Care Spending, Income and Relative Price of Health Care in Malaysia," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 52(2), pages 199-214, December.
    8. Dierk Herzer, 2005. "Trade composition and total factor productivity: Evidence for Chile," Ibero America Institute for Econ. Research (IAI) Discussion Papers 116, Ibero-America Institute for Economic Research.
    9. Chrigui Zouhair & Boujelbene Younes, 2009. "The Opportunities for Adopting Inflation Targeting in Tunisia: a Cointegration Study and Transmission Channels of Monetary Policy," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 16(3), pages 671-692, October.
    10. Herzer, Dierk & Nowak-Lehmann D., Felicitas, 2006. "Export Diversification, Externalities and Growth: Evidence for Chile," Proceedings of the German Development Economics Conference, Berlin 2006 12, Verein für Socialpolitik, Research Committee Development Economics.
    11. Jürgen Wolters & Uwe Hassler, 2006. "Unit root testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 43-58, March.
    12. Rosas Chimal, Mario Alberto & Flores Ortega, Miguel, 2017. "Calificación riesgo país y flujos de capital en México: 1998-2012/Country risk rating and capital flows in Mexico: 1998-2012," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 35, pages 191-216, Enero.
    13. Gillman, Max & Nakov, Anton, 2009. "Monetary effects on nominal oil prices," The North American Journal of Economics and Finance, Elsevier, vol. 20(3), pages 239-254, December.
    14. Frédérique Bec & Charbel Bassil, 2009. "Federal Funds Rate Stationarity: New Evidence," Economics Bulletin, AccessEcon, vol. 29(2), pages 867-872.
    15. Herzer Dierk, 2005. "Exportdiversifizierung und Wirtschaftswachstum in Chile / Export Diversification and Economic Growth in Chile: Eine ökonometrische Analyse / An Econometric Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 225(2), pages 163-180, April.
    16. Karoglou, Michail & Morley, Bruce, 2012. "Purchasing power parity and structural instability in the US/UK exchange rate," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 958-972.
    17. Dierk Herzer & Nowak-Lehnmann Felicitas, 2006. "What does export diversification do for growth? An econometric analysis," Applied Economics, Taylor & Francis Journals, vol. 38(15), pages 1825-1838.
    18. Víctor-Hugo Alcalá Ríos & Manuel Gómez Zaldívar & Daniel Ventosa-Santaulària, 2011. "Paradoja Feldstein-Horioka: el caso de México (1950-2007)," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(2), pages 293-313.
    19. Masoud Nili & Solmaz Moselhi, 2008. "The Role of Government Activities in Explaining the Growth Failure of the Oil Exporting Countries," Working Papers 398, Economic Research Forum, revised 03 Jan 2008.
    20. Antonio E. Noriega & Cid Alonso Rodríguez-Pérez, 2011. "Stationarity, structural breaks, and economic growth in Mexico: 1895-2008," Working Papers 2011-11, Banco de México.
    21. Mario Reyna Cerecero & Diana Salazar Cavazos & Héctor Salgado Banda, 2008. "The Yield Curve and its Relation with Economic Activity: The Mexican Case," Working Papers 2008-15, Banco de México.

    More about this item

    Keywords

    Unit root; Structural break;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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