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Up Around the Bend: Linear and nonlinear models of the UK economy compared

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  • Geraint Johnes

Abstract

A variety of methods - including vector autoregression (Bayesian and nonBayesian) and neural networks - are used to construct models of the UK economy, and their forecasting performance is compared.

Suggested Citation

  • Geraint Johnes, 2000. "Up Around the Bend: Linear and nonlinear models of the UK economy compared," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(4), pages 485-493.
    • Handle: RePEc:taf:irapec:v:14:y:2000:i:4:p:485-493
    DOI: 10.1080/02692170050150156
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    References listed on IDEAS

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    1. Geraint Johnes, 1999. "Forecasting unemployment," Applied Economics Letters, Taylor & Francis Journals, vol. 6(9), pages 605-607.
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    7. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    8. Hill, Tim & Marquez, Leorey & O'Connor, Marcus & Remus, William, 1994. "Artificial neural network models for forecasting and decision making," International Journal of Forecasting, Elsevier, vol. 10(1), pages 5-15, June.
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    Cited by:

    1. repec:lan:wpaper:4814 is not listed on IDEAS
    2. OlaOluwa S. Yaya & Ahamuefula E. Ogbonna & Fumitaka Furuoka & Luis A. Gil‐Alana, 2021. "A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 960-981, August.
    3. G Johnes, 2003. "Curriculum," Working Papers 541985, Lancaster University Management School, Economics Department.
    4. Michael Dietrich, 2006. "Neural networks and the evolution of firms and industries: An application to UK SIC34 and SIC72," Working Papers 2006007, The University of Sheffield, Department of Economics, revised May 2006.
    5. G Johnes, 2005. "Skills and earnings revisited," Working Papers 573993, Lancaster University Management School, Economics Department.
    6. repec:lan:wpaper:4407 is not listed on IDEAS
    7. repec:lan:wpaper:4510 is not listed on IDEAS
    8. Jane Binner & Rakesh Bissoondeeal & Thomas Elger & Alicia Gazely & Andrew Mullineux, 2005. "A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia," Applied Economics, Taylor & Francis Journals, vol. 37(6), pages 665-680.
    9. repec:lan:wpaper:4382 is not listed on IDEAS
    10. repec:lan:wpaper:4408 is not listed on IDEAS
    11. repec:lan:wpaper:4839 is not listed on IDEAS
    12. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Furuoka, Fumitaka & Gil-Alana, Luis A., 2019. "A new unit root analysis for testing hysteresis in unemployment," MPRA Paper 96621, University Library of Munich, Germany.
    13. repec:lan:wpaper:4535 is not listed on IDEAS
    14. Geraint Johnes, 2005. "‘Don’t Know Much About History…’: Revisiting the Impact of Curriculum on Subsequent Labour Market Outcomes," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 249-271, July.

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