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

Author

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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
    DOI: 10.1787/jbcma-v2004-art13-en
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    Citations

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    Cited by:

    1. Fernando Delbianco & Andrés Fioriti & Fernando Tohmé, 2023. "Markov chains, eigenvalues and the stability of economic growth processes," Empirical Economics, Springer, vol. 64(3), pages 1347-1373, March.
    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 2274, Banco de la Republica.
    4. Rossouw, Stephanie & Greyling, Talita & Adhikari, Tamanna & Morrison, Phillip S., 2020. "Markov switching models for happiness during a pandemic: The New-Zealand experience," GLO Discussion Paper Series 573, Global Labor Organization (GLO).
    5. Marwen Elkamel & Lily Schleider & Eduardo L. Pasiliao & Ali Diabat & Qipeng P. Zheng, 2020. "Long-Term Electricity Demand Prediction via Socioeconomic Factors—A Machine Learning Approach with Florida as a Case Study," Energies, MDPI, vol. 13(15), pages 1-21, August.
    6. 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.
    7. 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.
    8. Martha Misas & Maria Teresa Ramirez, 2007. "Depressions in the Colombian economic growth during the twentieth century: a Markov switching regime model," Applied Economics Letters, Taylor & Francis Journals, vol. 14(11), pages 803-808.

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