METHODOLOGICAL ASPECTS OF THE DIGITAL ECONOMY IN THE FOCUS OF STATISTICAL PREDICTION METHODS


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Abstract

The article deals with methodological aspects of the use of multidimensional statistical methods, methods of economic statistics and information technologies in the study of the economic direction of «digital economy». The features of the application of various statistical approaches, as well as the possibility of their combined use are noted. Features of forecasting of the basic indicators of social and economic sphere are  presented.

 



About the authors

A. Yu. Trusova

Samara National Research University

Author for correspondence.
Email: lionernew@gmail.com

A. I. Ilyina

Samara National Research University

Email: lionernew@gmail.com

References

  1. Trusuva A.Yu., Ilyina A.I. Analiz mnogomernykh ekspertnykh dannykh metodom glavnykh faktorov [Analysis of multidimensional expert data by the main factors method]. In: Matematika, ekonomika i upravleniye [Mathematics, Economics and Management], 2016, vol.. 2, no. 3, pp. 107–110 [in Russian].
  2. Trusova A.Yu., Ilyina A.I. Modelirovaniye i analiz dinamicheskikh dannykh [Modeling and analysis of dynamic data]. In: Vestnik Samarskogo gosudarstvennogo universiteta [Vestnik of Samara State University], 2013, no. 7 (108), pp. 127–133 [in Russian].
  3. Thornhill John. The Big Data revolution can revive the planned economy. In: Financial Times. 04.09.2017 [in English].
  4. Alan Davidson, Director of Digital Economy, Commerce Department Digital Economy Agenda, May 2016. Retrieved from: https://www.ntia.doc.gov/files/ntia/publications/alan_davidson_digital_economy_agenda_deba_presensation_051616.
  5. pdf [in English].
  6. Shulttseva V. Tsifrovaiia ekonomika Kitaiia [Digital Economy of China]. Retrieved from: http://www.lastmile.su/journal/article/4702 [in Russian].

Copyright (c) 2018 А. Ю. Трусова, А. И. Ильина

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