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Synchronization of world economic activity.

Andreas Groth1, Michael Ghil1

  • 1Department of Atmospheric and Oceanic Sciences, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, California 90095, USA.

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Summary
This summary is machine-generated.

This study reveals a common global business cycle using multivariate singular spectrum analysis (M-SSA). It identifies shared economic fluctuations and major events influencing worldwide economic activity.

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Area of Science:

  • Economics
  • Econometrics
  • Complex Systems

Background:

  • Business cycle fluctuations exhibit complex dynamics.
  • Understanding global economic synchronization is crucial for policy.
  • Previous analyses lacked methods to identify shared oscillatory modes across diverse economies.

Purpose of the Study:

  • To investigate common dynamical properties of business cycle fluctuations globally.
  • To identify shared oscillatory modes and synchronization patterns across countries.
  • To detect structural changes in synchronization and their impact on the world economy.

Main Methods:

  • Multivariate Singular Spectrum Analysis (M-SSA) to identify oscillatory modes.
  • Analysis of phase- and frequency-locked oscillators to detect shared modes.
  • An extended M-SSA approach to analyze structural changes in synchronization clusters.

Main Results:

  • Identification of a common mode of business cycle activity across over 100 countries.
  • Evidence supporting the existence of a world business cycle.
  • Detection of several major postwar events that significantly impacted global economic activity.

Conclusions:

  • A unified world business cycle exists, characterized by shared dynamical properties.
  • The extended M-SSA methodology effectively reveals structural changes in economic synchronization.
  • Global economic activity is influenced by both common cyclical patterns and distinct major events.