Statistical analysis of the structure of public opinion in Russia in 2012–2018

Publication type Article
Status Published
Occupation: Principal Scientific Researcher
Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Moscow, Russian Federation
Occupation: Senior Research Scholar
Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russian Federation
Occupation: Research Scholar
Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Russian Federation
Affiliation: Central Economics and Mathematics Institute, Russian Academy of Sciences
Address: Varshavskoe sh., 144-2-401
Journal nameEkonomika i matematicheskie metody
EditionVolume 56 Issue 1

In this article, public opinion of the population of Russia is considered as a system of interrelated assessments and opinions on various aspects of social life, formed in the conditions of economic reality. The quantitative characteristics of the opinions of Russian society on problems affecting the interests of the country's population are analyzed using special procedures of modern econometrics. The main methodological feature of the approach is the transition from a informative interpretation of pair correlations to analysis of the minimum number of multiple dependencies using the means of causal analysis and the detection of direct relationships. The impact of public opinion on some forms of social behavior is assessed. Integral indices of the population’s the credibility of the government and life satisfaction are constructed, their changes are shown during 2012–2018. To construct the forecast, models of changes in the population’s attitude to different aspects of its life are considered. The official statistics and data of the all-Russian center for public opinion research. The procedures of analysis and conditional forecasting of public opinion presented in the article can be used in the development of management strategies in terms of the formation of optimal interaction between the government and society.

Keywordssociety, sociological polls, public opinion, principal components, integral indices, econometric models, direct relationships, conditional forecast
AcknowledgmentThis study was supported by the Russian Science Foundation (project 17-18-01080).
Publication date20.03.2020
Number of characters36699
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1. Borodkin F.M., Ayvazyan S.A., Social indicators, Unity-Dana, M., 2006.

2. Varlamova S.A. The level and quality of life in Russia: population assessment. Political education. Information and analytical journal, 2016, Date of contact: March 19, 2019

3. Gavrilets Yu.N. Socio-economic planning. Systems and models. Ed. “Economics”, Moscow, 1974.

4. Gavrilets Yu.N., A.V. Kudrov, and V.Tarakanova, “Analysis of the internal structure of the potential for economic growth”, Electronic journal “Vestnik TsEMI”, vol. 1, No. 1,2018.

5. Grushin B.A. Mass consciousness. Moscow: Politizdat, 1987.

6. Doctors B.Z. Lectures on the history of the study of public opinion: USA and Russia: a training manual. - Yekaterinburg: UrFU, 2013 .-- 212 p.

7. Zaslavskaya T.I. Modern Russian society: a social mechanism of transformation. M .: Case. 2004.

8. Luman N. Social systems. Essay on the general theory. Gaziev I.D. (lane with it.); Golovin N.A. (ed.). 2007.

9. Khvostov V.M. Public opinion and political parties. - M .: Publishing House I.D. Sytin, 1906.

10. How do cultural activities influence happines? Investigating thererelationship between self-reported weel-beeing and leisure. Author (s): Victoria Ateca-Amestoy, Mariana Gerstenbluth, Irene Mussio and Maximo Rossi Source: Estudios Economicos, Vol. 31, No. 2 (62) (JULIO-DICIEMBRE DE 2016), pp. 217-234

11. Banerjee, A. J.J. Dolado, J.W. Galbraith and D.F. Hendry, Co-integration, Error Correction, and the Econometric Analysis of Nonstationary Data. Oxford: Oxford University Press, 1993.

12. Engle, R.F. and C.W.J. Granger, “Cointegration and Error Correction: Representation, Estimation and Testing,” Econometrica, 55 (1987), 251-276.

13. Duncan T., Duncan S., Strycker L., Li F., Alpert A. An Introduction to Latent Variable Growth Curve Modeling. London, 1999

14. Granger C.W. J., “Some Properties of Time Series Data and their Use in Econometric Model Specification,” Journal of Econometrics, 16 (1981) 121-130

15. Results of opinion polls for 2012-2018 WCIOM "Sputnik".

16. (accessed November 2018);

17. Results of opinion polls for 2012-2018 WCIOM "Express".

18. ( (accessed November 2018);

19. Results of opinion polls for 2012-2018 Database of the results of the All-Russian public opinion polls of the All-Russian Public Opinion Research Center "Archivist" (accessed November, December 2018);

20. Statistical indicators for Russia as a whole for the period 2012-2018. (EMISS); (accessed November 2018);

21. The price of Brent crude oil and the US $ rate in 2012-2018

22. Help portal "Calculator"; (accessed November 2018);

23. Refinancing rate (key rate) of the Central Bank in 2012-2018

24. information portal "Bankers"; (accessed November 2018).

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