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Modelling Business Cycle Movements in the UK Economy

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Author Info

  • Simpson, Paul W
  • Osborn, Denise R
  • Sensier, Marianne

Abstract

This paper models the phases of the UK business cycle using GDP data with a time-varying transition probabilities (TVTP) Markov-switching regime model and exogenous leading indicator variables. Single indicators in linear models are compared with the TVTP framework, with logistic and exponential functions used in the latter. The Markov-switching models capture the major recessions of the sample, but the use of leading indicators through the TVTP framework can improve this regime recognition. Finally, a forecast comparison shows that the TVTP models perform relatively well in predicting during the 1990s, particularly when nominal interest rates are used to generate the regime-switching probabilities. Copyright 2001 by The London School of Economics and Political Science

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Bibliographic Info

Article provided by London School of Economics and Political Science in its journal Economica.

Volume (Year): 68 (2001)
Issue (Month): 270 (May)
Pages: 243-67

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Handle: RePEc:bla:econom:v:68:y:2001:i:270:p:243-67

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Cited by:
  1. 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.
  2. Luis Eduardo Arango & Luis Fernando Melo, 2001. "Expansions and Contractions in Some Latin American Countries: A View Throught Non- Linear Models," BORRADORES DE ECONOMIA 002691, BANCO DE LA REPÚBLICA.
  3. Sensier, Marianne & Osborn, Denise R & Ocal, Nadir, 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 315-39, September.
  4. Moolman, Elna, 2004. "A Markov switching regime model of the South African business cycle," Economic Modelling, Elsevier, vol. 21(4), pages 631-646, July.
  5. Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics.
  6. Arango, Luis E. & Melo, Luis F., 2006. "Expansions and contractions in Brazil, Colombia and Mexico: A view through nonlinear models," Journal of Development Economics, Elsevier, vol. 80(2), pages 501-517, August.
  7. N Aslanidis & D R Osborn & M Sensier, 2003. "Explaining Movements in UK Stock Prices: How Important is the US Market?," The School of Economics Discussion Paper Series 0305, Economics, The University of Manchester.
  8. Cesaroni, Tatiana & Maccini, Louis & Malgarini, Marco, 2011. "Business cycle stylized facts and inventory behaviour: New evidence for the Euro area," International Journal of Production Economics, Elsevier, vol. 133(1), pages 12-24, September.
  9. Simpson, Paul W & Osborn, Denise R & Sensier, Marianne, 2001. "Forecasting UK Industrial Production over the Business Cycle," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(6), pages 405-24, September.
  10. 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.
  11. Nektarios Aslanidis & Denise Osborn & Marianne Sensier, 2003. "Explaining movements in UK stock prices:," Working Papers 0302, University of Crete, Department of Economics.

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