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Information-Analytical System for Forecasting Indicators of the Social and Economic Sphere of the Russian Federation

Author

Listed:
  • Olga Viktorovna Kitova
  • Viktoriya Mikhailovna Savinova
  • Ludmila Pavlovna Dyakonova
  • Sergey Naumovich Bruskin
  • Anton Andreevich Beshmelnitskiy
  • Tamara Petrovna Danko
  • Vladimir Dmitrievich Sekerin

Abstract

Currently, the need for the real-time evaluation of the functioning effectiveness of the subjects of the Russian Federation is observed. To achieve this goal, the situation centers, able to perform the monitoring of the socio-economic indicators both at the federal and regional levels, are created in Russia. At the same time, it is necessary to implement the information-analytical system to make forecasts for the following periods, as well as to conduct a plan-fact analysis based on the available data, using various methods. In the framework of this study, the situation center of Federal State Budgetary Educational Institution of Higher Education “Plekhanov Russian University of Economics†(FSBEI HE "Plekhanov RUE") is considered. The development of the information-analytical system based on a hybrid forecasting model, integrated with the software of the center under consideration, is proposed by the authors. The examples of the calculations and the estimation of their accuracy and quality, obtained with the prototype of the system under development, are presented.

Suggested Citation

  • Olga Viktorovna Kitova & Viktoriya Mikhailovna Savinova & Ludmila Pavlovna Dyakonova & Sergey Naumovich Bruskin & Anton Andreevich Beshmelnitskiy & Tamara Petrovna Danko & Vladimir Dmitrievich Sekerin, 2017. "Information-Analytical System for Forecasting Indicators of the Social and Economic Sphere of the Russian Federation," European Research Studies Journal, European Research Studies Journal, vol. 0(4A), pages 275-283.
    • Handle: RePEc:ers:journl:v:xx:y:2017:i:3a:p:275-283
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    References listed on IDEAS

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    Cited by:

    1. A.E. Skhvediani & T.Y. Kudryavtseva, 2018. "The Socioeconomic Development of Russia: Some Historical Aspects," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 195-207.
    2. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:577-587 is not listed on IDEAS
    3. L.B. Sitdikova & S.J. Starodumova & M.A. Volkova, 2018. "Aspects of Transactions by Business Entities in Civil Legislation," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 557-566.
    4. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:557-566 is not listed on IDEAS
    5. repec:ers:journl:v:volumexxi:y:2018:i:issue4:p:195-207 is not listed on IDEAS
    6. I.V. Takmasheva & D.V. Sannikov, 2018. "Assessing the Potential of Small Business Development in the Northern Region of Russia Based on Correlation Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 577-587.

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    More about this item

    Keywords

    econometric models; mathematical simulation of the economic systems; neural network simulation; forecasting; information-analytical system; situation center. JEL Classification: O10; P50;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • P50 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - General

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