Statistical Toolkit for Assessing the Financial Security of Regions

  • Authors

    • Dmitry Vladimirovich Dianov
    • Alexander Evgen'evich Suglobov
    • Elena Ivanovna Kuznetsova
    • Alevtina Viktorovna Rusavskaya
    • Andrey Vladimiro
    2018-08-13
    https://doi.org/10.14419/ijet.v7i3.15.18678
  • Cluster analysis, regression method, Dianov metrics, multidimensional grouping, financial security of regions

  • Each stage of the statistical research of economic and financial security requires the use of another extensive block of statistical toolkit represented by methods of general theory of statistics and mathematical statistics, including multidimensional groupings – cluster analysis, correlation and regression methods. This scientific article is devoted to such a statistical toolkit and analytical capabilities for its application in the research into the financial security of the region, where the financial security of the Moscow region, described by a range of financial and economic indicators, is the subject of statistical research.

     

     

  • References

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      [2] Agapova T.N. and Suglobov A.E. (2014). Metodika analiza struktury sotsialno-ekonomicheskikh pokazateley [Method of analyzing the structure of socio-economic indicators]. Issues of Regional Economy, 20(3), pp. 3-9.

      [3] Sidorova N.P. and Sharova N.M. Statistiko-matematicheskiy metod otsenki predprinimatelskoy deyatelnosti subyektov malogo predprinimatelstva [Statistical mathematical method for assessing entrepreneurial activity of small businesses]. Issues of Regional Economy, 27(2), pp. 116-122.

      [4] Suglobov A.E. (2006). Ispolzovaniye rezultatov ekonomicheskogo analiza dlya vyyavleniya perspektiv razvitiya sotsialnoy infrastruktury selskikh regionov [Using the results of economic analysis to identify the prospects for the development of social infrastructure in rural areas]. Economic Analysis: Theory and Practice, 12, pp. 32-35.

      [5] Dianov D.V. and Radugina E.A. (2013). Ekonomicheskaya bezopasnost Moskovskoy oblasti: upravleniye, faktory i statistika [Economic security of the Moscow region: administration, factors and statistics]. Economics, Statistics and Informatics. Bulletin of the UMO, 1, pp. 36-43.

      [6] Burtseva T.A. (2017). Ekonometricheskiye modeli regionalnoy proizvoditelnosti truda [Econometric models of regional labor productivity]. Issues of Statistics, 3, pp. 30-36.

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  • How to Cite

    Vladimirovich Dianov, D., Evgen'evich Suglobov, A., Ivanovna Kuznetsova, E., Viktorovna Rusavskaya, A., & Vladimiro, A. (2018). Statistical Toolkit for Assessing the Financial Security of Regions. International Journal of Engineering & Technology, 7(3.15), 230-232. https://doi.org/10.14419/ijet.v7i3.15.18678