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Common socio-economic cycle periods

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  • de Groot, Bert
  • Franses, Philip Hans

Abstract

We present a meta-analysis of cycle periods in historical socio-economic data found in the K-wave literature. The literature on stochastic and deterministic cycles in variables such as the consumer price index, employment, interest rates, commodity prices, GDP, war and hegemony is huge and scattered. However our meta-analysis reveals various commonalities. Our key finding is that there is a common set of cycle periods that is common across most socio-economic variables.

Suggested Citation

  • de Groot, Bert & Franses, Philip Hans, 2012. "Common socio-economic cycle periods," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 59-68.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:1:p:59-68
    DOI: 10.1016/j.techfore.2011.06.006
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    1. Freeman, Christopher & Soete, Luc, 1990. "Fast structural change and slow productivity change: Some paradoxes in the economics of information technology," Structural Change and Economic Dynamics, Elsevier, vol. 1(2), pages 225-242, December.
    2. Berry, Brian J.L. & Okulicz-Kozaryn, Adam, 2008. "Are there ENSO signals in the macroeconomy," Ecological Economics, Elsevier, vol. 64(3), pages 625-633, January.
    3. Gerald Silverberg & Bart Verspagen, 2003. "Breaking the waves: a Poisson regression approach to Schumpeterian clustering of basic innovations," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 27(5), pages 671-693, September.
    4. Ronald Lee, 1974. "The formal dynamics of controlled populations and the echo, the boom and the bust," Demography, Springer;Population Association of America (PAA), vol. 11(4), pages 563-585, November.
    5. Rainer Metz, 1992. "A Re-examination of Long Waves in Aggregate Production Series," Palgrave Macmillan Books, in: Alfred Kleinknecht & Ernest Mandel & Immanuel Wallerstein (ed.), New Findings in Long-Wave Research, chapter 4, pages 80-119, Palgrave Macmillan.
    6. Solomou, Solomos, 1986. "Innovation Clusters and Kondratieff Long Waves in Economic Growth," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 10(2), pages 101-112, June.
    7. Jan P. G. Reijnders, 1992. "Between Trends and Trade Cycles: Kondratieff Long Waves Revisited," Palgrave Macmillan Books, in: Alfred Kleinknecht & Ernest Mandel & Immanuel Wallerstein (ed.), New Findings in Long-Wave Research, chapter 2, pages 15-44, Palgrave Macmillan.
    8. Carlota Perez, 2002. "Technological Revolutions and Financial Capital," Books, Edward Elgar Publishing, number 2640.
    9. Kleinknecht, Alfred, 1990. "Are There Schumpeterian Waves of Innovations?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 14(1), pages 81-92, March.
    10. Jan Reijnders, 1990. "Long Waves in Economic Development," Books, Edward Elgar Publishing, number 366.
    11. Kleinknecht, Alfred, 1984. "Prosperity, Crisis and Innovation Patterns," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 8(3), pages 251-270, September.
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    3. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Technology and Business Cycles: A Schumpeterian Investigation for the USA," MPRA Paper 80636, University Library of Munich, Germany.
    4. de Bruijn, L.P. & Franses, Ph.H.B.F., 2015. "Stochastic levels and duration dependence in US unemployment," Econometric Institute Research Papers EI2015-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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    6. Grinin, Leonid E. & Grinin, Anton L. & Korotayev, Andrey, 2017. "Forthcoming Kondratieff wave, Cybernetic Revolution, and global ageing," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 52-68.
    7. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Does technology cause business cycles in the USA? A Schumpeter-inspired approach," Structural Change and Economic Dynamics, Elsevier, vol. 43(C), pages 15-26, December.
    8. de Groot, E.A. & Segers, R. & Prins, D., 2022. "Non-resonating cycles in a dynamic model for investment behavior," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    9. de Groot, E.A. & Segers, R. & Prins, D., 2021. "Disentangling the enigma of multi-structured economic cycles - A new appearance of the golden ratio," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    10. Inga Ivanova & Oivind Strand & Loet Leydesdorff, 2019. "The Synergy and Cycle Values in Regional Innovation Systems: The Case of Norway," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 13(1), pages 48-61.
    11. Alvarez-Ramírez, José & Rodríguez, Eduardo, 2012. "Temporal variations of serial correlations of trading volume in the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(16), pages 4128-4135.

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