Models of Adaptive Targeted Forecasting of Socio-Economic Region Development Indicators

  • Valeriy Vladimirovich DAVNIS Department of Information Technologies and Mathematical Methods in Economics Voronezh State University, Voronezh, Russian Federation
  • Maria Valeryevna DOBRINA Department of Information Technologies and Mathematical Methods in Economics Voronezh State University, Voronezh, Russian Federation
  • Artem Vitalievich CHEKMAREV Department of Information Technologies and Mathematical Methods in Economics Voronezh State University, Voronezh, Russian Federation
  • Viktoria Ivanovana TINYAKOVA Director of the Institute State University of Management, Moscow, Russian Federation

Abstract

The aim of the paper is description of the new approach, which provides the construction of models having the opportunity to reflect in the predicted trajectories of the plans, the expected implementation of which in the future period will lead to changes in the past patterns of socio-economic development of the region. In order to implement this idea, it is proposed to use the adaptive mechanism of targeted adjustment of the forecast model coefficients. Correction is based on the newly received observation data. As a newly arrived observation, a specially formed target value is used, in which the plan is concentrated on changing existing patterns. It is possible to conduct multivariate predictive calculations depending on the variation of target settings, followed by an assessment of the obtained options’ preference according to special criteria.


Results: computational experiments with models built on real data showed that the proposed approach is a fairly effective tool for developing forecasts of the socio-economic development of regions and municipalities.

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Published
2019-06-30
How to Cite
DAVNIS, Valeriy Vladimirovich et al. Models of Adaptive Targeted Forecasting of Socio-Economic Region Development Indicators. Journal of Advanced Research in Law and Economics, [S.l.], v. 10, n. 4, p. 1195-1204, june 2019. ISSN 2068-696X. Available at: <https://journals.aserspublishing.eu/jarle/article/view/4886>. Date accessed: 25 feb. 2024. doi: https://doi.org/10.14505//jarle.v10.4(42).19.