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Public Fears in Ukrainian Society

Author

Listed:
  • Sviatoslav R. Rybnikov
  • Natalya A. Rybnikova
  • Boris A. Portnov

Abstract

Numerous experimental studies have revealed that two statistical measures of biological populations—(a) the correlation between certain parameters of their members and (b) the dispersion of theses parameters—simultaneously increase under stress conditions. Later on, this effect was confirmed also for financial systems. In our study we tested the applicability of these two stress-indicating statistical measures to Ukrainian society. We examined the prolonged stress period preceding the 2014 Ukrainian economic and political crisis. We considered the dynamics of 19 major public fears which got spread in the Ukrainian society during this period: of economic regress, of breakdown of the state, of losing sovereignty, etc. The study revealed that there was a simultaneous increase in the total correlation between the fears (by about 64 per cent) and also in their statistical dispersion (by 29 per cent) during the pre-crisis years. It is suggested that these measures may be a useful tool for monitoring stress onset and for possible steps that can be taken to prevent societal crises.

Suggested Citation

  • Sviatoslav R. Rybnikov & Natalya A. Rybnikova & Boris A. Portnov, 2017. "Public Fears in Ukrainian Society," Psychology and Developing Societies, , vol. 29(1), pages 98-123, March.
    • Handle: RePEc:sae:psydev:v:29:y:2017:i:1:p:98-123
    DOI: 10.1177/0971333616689398
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    References listed on IDEAS

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    1. Graciela Kaminsky & Saul Lizondo & Carmen M. Reinhart, 1998. "Leading Indicators of Currency Crises," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 1-48, March.
    2. Gorban, Alexander N. & Smirnova, Elena V. & Tyukina, Tatiana A., 2010. "Correlations, risk and crisis: From physiology to finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3193-3217.
    3. A. N. Gorban & E. V. Smirnova & T. A. Tyukina, 2009. "Correlations, Risk and Crisis: From Physiology to Finance," Papers 0905.0129, arXiv.org, revised Aug 2010.
    4. Hali J. Edison, 2003. "Do indicators of financial crises work? An evaluation of an early warning system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 11-53.
    5. Albers, Scott, 2012. "Predicting crises: Five essays on the mathematic prediction of economic and social crises," MPRA Paper 43484, University Library of Munich, Germany.
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