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What causes business cycles to elongate, or recessions to intensify?

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  • Crowley, Patrick M.
  • Hallett, Andrew Hughes

Abstract

In this paper we use both New Keynesian and Classical monetary models to explain why volatility transfers from high to low frequency cycles occur, causing the business cycle to elongate, and how they could reverse. Our results show that an increase in inflation aversion or a reduction in the commitment to output stabilization would create volatility transfers sufficient to give rise to a great moderation, while a reversal of those commitments would take it away again. In short, the lower frequency cycles become more volatile at the expense of traditional business cycle frequencies, even though there are no reversals in the parameters that govern the economy’s underlying economic behaviour, dynamics or volatility. This implies we should expect less frequent but more severe recessions, with smoother business cycle expansion phases in between. We identify moderate expectations for output or earnings growth to be the key element that under-pins these results.

Suggested Citation

  • Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
  • Handle: RePEc:eee:jmacro:v:57:y:2018:i:c:p:338-349
    DOI: 10.1016/j.jmacro.2018.06.010
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    Cited by:

    1. repec:zbw:bofrdp:2019_012 is not listed on IDEAS
    2. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    3. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    4. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," NIPE Working Papers 04/2019, NIPE - Universidade do Minho.
    5. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    6. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    7. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    8. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    9. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," CEF.UP Working Papers 1902, Universidade do Porto, Faculdade de Economia do Porto.
    10. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    11. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

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    More about this item

    Keywords

    New Keynesian model; Business cycles; Growth cycles; Time–frequency decomposition; Wavelet analysis; Empirical mode decomposition;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • E19 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Other
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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