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Predicting UK Business Cycle Regimes

Author

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  • Birchenhall, Chris R
  • Osborn, Denise R
  • Sensier, Marianne

Abstract

This paper uses logistic regression to construct a one-quarter ahead prediction model for classical business cycle regimes in the UK. The binary dependent variable is obtained by applying simple mechanical rules to date turning points in quarterly real GDP data from 1963 to 1999. Using a range of real and financial leading indicators, several parsimonious one-quarter-ahead models are developed for the GDP regimes, with model selection based on the SIC criterion. A real M4 variable is consistently found to have predictive content. One model that performs well combines this with nominal UK and German short-term interest rates. The role of the latter emphasises the open nature of the UK economy. Copyright 2001 by Scottish Economic Society.

Suggested Citation

  • Birchenhall, Chris R & Osborn, Denise R & Sensier, Marianne, 2001. "Predicting UK Business Cycle Regimes," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(2), pages 179-195, May.
    • Handle: RePEc:bla:scotjp:v:48:y:2001:i:2:p:179-95
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    Cited by:

    1. Feixue Huang & Cheng Li & Yanxi Li, 2010. "Ripple Effect of Housing Prices among Chinese Deputy Provincial Cities Based on an Alternative Approach," International Journal of Business Administration, International Journal of Business Administration, Sciedu Press, vol. 1(1), pages 19-24, November.
    2. Denise R. Osborn & Marianne Sensier, 2002. "The Prediction of Business Cycle Phases: Financial Variables and International Linkages," National Institute Economic Review, National Institute of Economic and Social Research, vol. 182(1), pages 96-105, October.
    3. K. D. Patterson, 2002. "Modelling the data measurement process for the index of production," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(2), pages 279-296.
    4. Paul Windrum & Chris Birchenhall, 2005. "Structural change in the presence of network externalities: a co-evolutionary model of technological successions," Journal of Evolutionary Economics, Springer, vol. 15(2), pages 123-148, January.
    5. Steve Cook, 2012. "β-convergence and the Cyclical Dynamics of UK Regional House Prices," Urban Studies, Urban Studies Journal Limited, vol. 49(1), pages 203-218, January.
    6. Carriero, Andrea & Marcellino, Massimiliano, 2007. "A comparison of methods for the construction of composite coincident and leading indexes for the UK," International Journal of Forecasting, Elsevier, vol. 23(2), pages 219-236.
    7. Narayan, Paresh Kumar, 2008. "Understanding the importance of permanent and transitory shocks at business cycle horizons for the UK," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2879-2888.
    8. Carriero, Andrea & Marcellino, Massimiliano, 2007. "A comparison of methods for the construction of composite coincident and leading indexes for the UK," International Journal of Forecasting, Elsevier, vol. 23(2), pages 219-236.
    9. S. Cook & C. Thomas, 2003. "An alternative approach to examining the ripple effect in UK house prices," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 849-851.
    10. Terence C. Mills & Ping Wang, 2003. "Multivariate Markov Switching Common Factor Models for the UK," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 177-193, April.
    11. Steve Cook & Duncan Watson, 2016. "A new perspective on the ripple effect in the UK housing market: Comovement, cyclical subsamples and alternative indices," Urban Studies, Urban Studies Journal Limited, vol. 53(14), pages 3048-3062, November.
    12. Zhou, Wei-Xing & Sornette, Didier, 2004. "Causal slaving of the US treasury bond yield antibubble by the stock market antibubble of August 2000," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(3), pages 586-608.
    13. Massimo Guidolin & Allan Timmermann, 2003. "Recursive Modeling of Nonlinear Dynamics in UK Stock Returns," Manchester School, University of Manchester, vol. 71(4), pages 381-395, July.
    14. Frédérique BEC & Othman BOUABDALLAH & Laurent FERRARA, 2011. "The Possible Shapes of Recoveries in Markov-Switching Models," Working Papers 2011-02, Center for Research in Economics and Statistics.
    15. Chris Hudson & John Hudson & Bruce Morley, 2018. "Differing house price linkages across UK regions: A multi-dimensional recursive ripple model," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1636-1654, June.
    16. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2015. "Comparing the shape of recoveries: France, the UK and the US," Economic Modelling, Elsevier, vol. 44(C), pages 327-334.
    17. Sensier, Marianne & Artis, Michael & Osborn, Denise R. & Birchenhall, Chris, 2004. "Domestic and international influences on business cycle regimes in Europe," International Journal of Forecasting, Elsevier, vol. 20(2), pages 343-357.
    18. Steve Cook & Duncan Watson, 2013. "Breaks and Convergence in U.S. Regional Crime Rates: Analysis of Their Presence and Implications," Social Sciences, MDPI, vol. 2(3), pages 1-11, August.
    19. Marianne Sensier & Denise R. Osborn & Nadir Öcal, 2002. "Asymmetric Interest Rate Effects for the UK Real Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 315-339, September.
    20. Michael P. Clements & Marianne Sensier, 2003. "Asymmetric output‐gap effects in Phillips Curve and mark‐up pricing models: Evidence for the US and the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(4), pages 359-374, September.
    21. Anthony Garratt & Donald Robertson & Stephen Wright, 2004. "Inside the black box: permanent vs transitory components and economic fundamentals," Money Macro and Finance (MMF) Research Group Conference 2003 35, Money Macro and Finance Research Group.
    22. Christina V. Atanasova & Jianhua Gang, 2008. "The Decline In The Volatility Of The Business Cycles In The Uk," Manchester School, University of Manchester, vol. 76(s1), pages 14-36, September.

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