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Policy, Theory, and the Cycle

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  • Pagan, Adrian

Abstract

The paper sets out some simple statistical models and shows that they are capable of generating the observed characteristics of classical cycles in three countries, Australia, the United Kingdom and the United States. Both analytical and simulation work is used for this purpose. These models emphasize the fact that to generate a realistic business cycle requires some deterministic trend growth, near unit root behavior in the deterministically detrended data, and innovations of a certain magnitude. With this information we examine some popular models of the cycle, asking how they produce these features, and then explore the implications of the analysis for economic policy. Copyright 1997 by Oxford University Press.

Suggested Citation

  • Pagan, Adrian, 1997. "Policy, Theory, and the Cycle," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 13(3), pages 19-33, Autumn.
    • Handle: RePEc:oup:oxford:v:13:y:1997:i:3:p:19-33
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    Citations

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    Cited by:

    1. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    2. Hans-Martin Krolzig & Juan Toro, 2004. "Classical and modern business cycle measurement: The European case," Spanish Economic Review, Springer;Spanish Economic Association, vol. 7(1), pages 1-21, January.
    3. repec:onb:oenbwp:y::i:69:b:1 is not listed on IDEAS
    4. Hans-Martin Krolzig & Michael P. Clements & Department of Economics & University of Warwick, 2001. "Modelling Business Cycle Features Using Switching Regime Models," Economics Series Working Papers 58, University of Oxford, Department of Economics.
    5. Grigoraş, Veaceslav & Stanciu, Irina Eusignia, 2016. "New evidence on the (de)synchronisation of business cycles: Reshaping the European business cycle," International Economics, Elsevier, vol. 147(C), pages 27-52.
    6. Don Harding & Adrian Pagan, 1999. "Knowing the Cycle," Melbourne Institute Working Paper Series wp1999n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. M.J. Artis, 2003. "Reflections on the optimal currency area (OCA) criteria in the light of EMU," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 297-307.
    8. Bartoletto, Silvana & Chiarini, Bruno & Marzano, Elisabetta & Piselli, Paolo, 2019. "Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    9. Pagan, Adrian, 1999. "Some uses of simulation in econometrics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 341-349.
    10. Clements, Michael P. & Franses, Philip Hans & Swanson, Norman R., 2004. "Forecasting economic and financial time-series with non-linear models," International Journal of Forecasting, Elsevier, vol. 20(2), pages 169-183.
    11. Hans-Martin Krolzig, 2001. "Markov-Switching Procedures for Dating the Euro-Zone Business Cycle," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 70(3), pages 339-351.
    12. Alasdair Scott, 2000. "A multivariate unobserved components model of cyclical activity," Reserve Bank of New Zealand Discussion Paper Series DP2000/04, Reserve Bank of New Zealand.
    13. Gaston Giordana & Sabbah Gueddoudj, 2016. "Characterising the financial cycle in Luxembourg," BCL working papers 103, Central Bank of Luxembourg.
    14. Don Harding & Adrian Pagan, 1999. "Dissecting the Cycle," Melbourne Institute Working Paper Series wp1999n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    15. Renee Fry, 2004. "International demand and liquidity shocks in a SVAR model of the Australian economy," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 849-863.

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