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A new approach to dating and predicting Australian business cycle phase changes

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  • Allan Layton
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    Abstract

    Due to well-known lags, counter-cyclical macroeconomic policies often exacerbate, rather than ameliorate, business cycles. Early recognition of upcoming phase shifts, particularly contractions, may assist in fine-tuning such policies. This objective is pursued in the paper by applying Hamilton's (1989, 1990, 1991) quasi-Bayesian, Markovian, regime-switching model to monthly growth rates of leading, long-leading and coincident indexes of Australian economic activity. A simple rule applied to regime probabilities for each data point of the coincident index produces a phase chronology that is very similar to that produced by the Bry and Boschan (1971) turning point algorithm. The regime switching model is also applied to the leading and long-leading indexes. The application of a simple rule to the resultant regime probabilities is found to result in a potentially very reliable advance signalling system for Australian business cycle phase changes.

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    Bibliographic Info

    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 29 (1997)
    Issue (Month): 7 ()
    Pages: 861-868

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    Handle: RePEc:taf:applec:v:29:y:1997:i:7:p:861-868

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    Cited by:
    1. Paul Cashin & Sam Ouliaris, 2004. "Key Features of Australian Business Cycles," Australian Economic Papers, Wiley Blackwell, vol. 43(1), pages 39-58, 03.
    2. Tan, Hao & Mathews, John A., 2010. "Identification and analysis of industry cycles," Journal of Business Research, Elsevier, vol. 63(5), pages 454-462, May.
    3. Narayan, Paresh Kumar, 2008. "An investigation of the behaviour of Australia's business cycle," Economic Modelling, Elsevier, vol. 25(4), pages 676-683, July.
    4. Sanidas, Elias, 2005. "The Australian Dollar's Long-Term Fluctuations and Trend: The Commodity Prices-cum-Economic Cycles Hypothesis," Economics Working Papers wp05-29, School of Economics, University of Wollongong, NSW, Australia.
    5. Taylor, Andrew & Shepherd, David & Duncan, Stephen, 2005. "The structure of the Australian growth process: A Bayesian model selection view of Markov switching," Economic Modelling, Elsevier, vol. 22(4), pages 628-645, July.
    6. Hao Tan & John A. Mathews, 2007. "Cyclical Dynamics in Three Industries," DRUID Working Papers 07-07, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.

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