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The great moderation under the microscope: decomposition of macroeconomic cycles in US and UK aggregate demand

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  • Crowley, Patrick M.
  • Hallett, Andrew Hughes

Abstract

In this paper the relationship between the growth of real GDP components is explored in the frequency domain using both static and dynamic wavelet analysis. This analysis is carried out separately for the US and UK using quarterly data, and the results are found to be substantially different for the two countries. One of the key findings of this research is that the great moderation shows up only at certain frequencies, and not in all components of real GDP. We use these results to explain why the incidence of the great moderation has been so patchy across GDP components, countries and time periods. This also explains why it has been so hard to detect periods of moderation (or other periods) reliably in the aggregate data. We argue this cannot be done without separating the GDP components into their frequency components over time. Our results show why: the predictions of traditional real business cycle theory often appear not to be upheld in the data.

Suggested Citation

  • Crowley, Patrick M. & Hallett, Andrew Hughes, 2011. "The great moderation under the microscope: decomposition of macroeconomic cycles in US and UK aggregate demand," Bank of Finland Research Discussion Papers 13/2011, Bank of Finland.
    • Handle: RePEc:zbw:bofrdp:rdp2011_013
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    8. Patrick M. Crowley & Andrew Hughes Hallett, 2014. "The Great Moderation Under the Microscope: Decomposition of Macroeconomic Cycles in US and UK Aggregate Demand," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 47-71, Springer.
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    1. is not listed on IDEAS
    2. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Research Discussion Papers 12/2015, Bank of Finland.
    3. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.
    4. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    5. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Research Discussion Papers 21/2016, Bank of Finland.
    6. Wen-Yi Chen & Yai-Wun Liang & Yu-Hui Lin, 2018. "Does Health Spending Crowd out Defense in the United States? Evidence from Wavelet Multiresolution Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 780-793, November.
    7. Crowley, Patrick M. & Hughes Hallett, Andrew, 2015. "Great moderation or “Will o’ the Wisp”? A time–frequency decomposition of GDP for the US and UK," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 82-97.
    8. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    9. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    10. Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2021. "Equity fund flows and stock market returns in the USA before and after the global financial crisis: a VAR-GARCH-in-mean analysis," Empirical Economics, Springer, vol. 60(2), pages 539-555, February.
    11. repec:bof:bofrdp:urn:nbn:fi:bof-201508131350 is not listed on IDEAS
    12. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

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