A Spectral Analysis of World GDP Dynamics: Kondratieff Waves, Kuznets Swings, and Juglar and Kitchin Cycles
First published: 2010
Brief summary
Spectral analysis of world GDP dynamics confirms Kondratieff long waves and finds Kuznets swings (17-18 years) are statistically better explained as the third harmonic of the Kondratieff wave rather than an independent cycle, alongside Juglar (6-8 yr) and Kitchin (3-4 yr) cycles.
Article
A Spectral Analysis of World GDP Dynamics: Kondratieff Waves, Kuznets Swings, and Juglar and Kitchin Cycles is a peer-reviewed journal article published by Escholarship (Korotayev & Tsirel) in 2010. It uses spectral analysis of world GDP dynamics to confirm Kondratieff long waves and finds Kuznets swings (17-18 years) are statistically better explained as the third harmonic of the Kondratieff wave rather than an independent cycle, alongside Juglar (6-8 yr) and Kitchin (3-4 yr) cycles.
The analysis focuses on Kuznets swings 17-18 years (3rd harmonic of K-wave), Juglar 6-8 years, Kitchin 40-59 months (3-5 years). The method uses spectral analysis of historical World GDP dynamics data. This gives the cycle claim a specific numerical and evidential setting rather than presenting periodicity only as a visual impression.
Their spectral analysis has confirmed a rather tight connection between Kondratieff waves and Kuznets swings, but suggests three rather than two Kuznets swings per Kondratieff wave, identifying Kuznets swings as the third harmonic; the analysis also detects economic cycles of 6-8 years (Juglar) and 3-4 years (Kitchin). The interpretation is strongest when trend, volatility, structural breaks, data-snooping and out-of-sample performance are addressed.
For cycles researchers, the article brings together kondratieff waves, kuznets swings, juglar cycles, kitchin cycles. It is relevant to financial-cycle research because multiple periodicities can overlap with trend, volatility, structural breaks and changing investor behaviour.
Because it is a peer-reviewed journal article, the article is a strong starting point for discussion in the Stock Markets forum, although its conclusions should still be compared with later replications and updated datasets.
Source details and credits
- Source / publisher: Escholarship (Korotayev & Tsirel)
- Source type: Peer-reviewed journal article
- URL type: PDF
- Credits: Escholarship (Korotayev & Tsirel)
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