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Two Prediction Models for Some Economic Indicators of the Russian Arctic Zone

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

The goal of this paper is to analyze and predict time series which reflect the dynamics of the gross regional product, the employed population and the total working-age population of the Russian Arctic zone. These tasks are very important to plan the development of the Russian Arctic zone. The ARIMA and VAR prediction models are developed. The VAR model shows better forecasting properties than the ARIMA model for the datasets discussed in the paper.

The paper is based on research carried out with the financial support of the grant of the Russian Scientific Foundation (Project No. 14-38-00009, The program-targeted management of the Russian Arctic zone development). Peter the Great St. Petersburg Polytechnic University.

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Acknowledgment

The paper is based on research carried out with the financial support of the grant of the Russian Scientific Foundation (Project No. 14-38-00009, The program-targeted management of the Russian Arctic zone development). Peter the Great St. Petersburg Polytechnic University.

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Sergey Chernogorskiy, Konstantin Shvetsov & Vladimir Parkhomenko

Authors
  1. Sergey Chernogorskiy
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  2. Konstantin Shvetsov
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  3. Vladimir Parkhomenko
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Corresponding author

Correspondence to Vladimir Parkhomenko .

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Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Chernogorskiy, S., Shvetsov, K., Parkhomenko, V. (2018). Two Prediction Models for Some Economic Indicators of the Russian Arctic Zone. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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