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Markov Switching Models for GDP Growth in a Small Open Economy: The New Zealand Experience

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  • Robert A. Buckle
  • David Haugh
  • Peter Thomson

Abstract

This paper fits Markov switching models to quarterly New Zealand aggregate GDP growth rates for the period 1978:1 to 2003:2 in order to analyse changes in mean and volatility over time. The models considered are drawn from a simple class of parsimonious, four state, Markov switching models which encompass a wide range of stationary time series behaviour from linear AR(1) models to non-linear models with persistent cycles and outliers. An overall objective is to use the models to help understand and identify changes in the historical growth performance of New Zealand's small open economy, particularly pre and post wide ranging economic reforms. Conclusions to emerge are that, in contrast to the 1980s, New Zealand GDP growth experienced an unusually long period of time in high growth and low volatility regimes since the early 1990s. In addition, New Zealand does not appear to have ...

Suggested Citation

  • Robert A. Buckle & David Haugh & Peter Thomson, 2004. "Markov Switching Models for GDP Growth in a Small Open Economy: The New Zealand Experience," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(2), pages 227-257.
  • Handle: RePEc:oec:stdkaa:5lmqcr2jcp9t
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    File URL: http://dx.doi.org/10.1787/jbcma-v2004-art13-en
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    References listed on IDEAS

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    1. Maximo Camacho & Gabriel Perez-Quiros, 2002. "This is what the leading indicators lead," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(1), pages 61-80.
    2. Geoffrey H. Moore, 1950. "Statistical Indicators of Cyclical Revivals and Recessions," NBER Books, National Bureau of Economic Research, Inc, number moor50-1, January.
    3. Zarnowitz, Victor, 1992. "Business Cycles," National Bureau of Economic Research Books, University of Chicago Press, number 9780226978901.
    4. Wesley Clair Mitchell & Arthur F. Burns, 1938. "Statistical Indicators of Cyclical Revivals," NBER Books, National Bureau of Economic Research, Inc, number mitc38-1, January.
    5. Hamilton, James D & Perez-Quiros, Gabriel, 1996. "What Do the Leading Indicators Lead?," The Journal of Business, University of Chicago Press, vol. 69(1), pages 27-49, January.
    6. McGuckin, Robert H. & Ozyildirim, Ataman & Zarnowitz, Victor, 2007. "A More Timely and Useful Index of Leading Indicators," Journal of Business & Economic Statistics, American Statistical Association, pages 110-120.
    7. Francis X. Diebold & Glenn D. Rudebusch, 1989. "Forecasting output with the composite leading index: an ex ante analysis," Finance and Economics Discussion Series 90, Board of Governors of the Federal Reserve System (U.S.).
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    Cited by:

    1. Grimes, Arthur, 2006. "A smooth ride: Terms of trade, volatility and GDP growth," Journal of Asian Economics, Elsevier, vol. 17(4), pages 583-600, October.
    2. Viv B. Hall & C. John McDermott, 2006. "The New Zealand Business Cycle: Return To Golden Days?," CAMA Working Papers 2006-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Martha Misas & María Teresa Ramírez, 2005. "Depressions In The Colombian Economic Growth During The Xx Century:A Markov Switching Regime Model," BORRADORES DE ECONOMIA 002274, BANCO DE LA REPÚBLICA.
    4. Buckle, Robert A. & Kim, Kunhong & Kirkham, Heather & McLellan, Nathan & Sharma, Jarad, 2007. "A structural VAR business cycle model for a volatile small open economy," Economic Modelling, Elsevier, vol. 24(6), pages 990-1017, November.

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