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Empirical results on the size distribution of business cycle phases

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  • Di Guilmi, Corrado
  • Gaffeo, Edoardo
  • Gallegati, Mauro

Abstract

We study the size distribution of business cycles phases, that is expansions and contractions, for a sample of 16 industrialized countries over 120 years. We find that the best-fitting distribution for both expansions and contractions is Weibull, meaning that business cycles possess a characteristic scale. Furthermore, we discuss how parameters’ estimates can be used to make inference on the probability a typical episode ends, that is on what economists call turning points.

Suggested Citation

  • Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.
  • Handle: RePEc:eee:phsmap:v:333:y:2004:i:c:p:325-334
    DOI: 10.1016/j.physa.2003.10.022
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.
    2. Grilli, Ruggero & Tedeschi, Gabriele & Gallegati, Mauro, 2014. "Bank interlinkages and macroeconomic stability," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 72-88.
    3. Gatti, Domenico Delli & Di Guilmi, Corrado & Gallegati, Mauro & Giulioni, Gianfranco, 2007. "Financial Fragility, Industrial Dynamics, And Business Fluctuations In An Agent-Based Model," Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 62-79, November.
    4. Neveu, Andre R., 2013. "Fiscal policy and business cycle characteristics in a heterogeneous agent macro model," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 224-240.
    5. Edgardo Bucciarelli & Marcello Silvestri, 2013. "Hyman P. Minsky's unorthodox approach: recent advances in simulation techniques to develop his theoretical assumptions," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(2), pages 299-324.
    6. Guilmi, Corrado Di & Gallegati, Mauro & Ormerod, Paul, 2004. "Scaling invariant distributions of firms’ exit in OECD countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 334(1), pages 267-273.
    7. Ruggero Grilli & Gabriele Tedeschi & Mauro Gallegati, 2015. "Markets connectivity and financial contagion," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 10(2), pages 287-304, October.
    8. Funashima, Yoshito, 2016. "Governmentally amplified output volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 469-478.
    9. Fabio Clementi & Marco Gallegati & Mauro Gallegati, 2015. "Growth and Cycles of the Italian Economy Since 1861: The New Evidence," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(1), pages 25-59, March.

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