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A Study of the Connection between Intertemporal Changes in Consolidated Macroeconomic Indicators and the Performance of Individual Industries in Russia’s Economy

Author

Listed:
  • N. V. Suvorov

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • S. V. Treshchina

    (Institute of Economic Forecasting, Russian Academy of Sciences)

  • Yu. V. Beletsky

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

The article presents the results of a quantitative analysis of the connection between the intertemporal changes in the performance of industries, or types of economic activities, and in consolidated macroeconomic indicators in Russia’s economy in 1995–2016. The presence of a cyclical factor is established in the connection between the changes in individual types of economic activities and macroeconomic indicators in this period. A possibility of using a special class of time functions (based on the Fourier transform) for modeling economic dynamics at the level of individual types of activities is analyzed.

Suggested Citation

  • N. V. Suvorov & S. V. Treshchina & Yu. V. Beletsky, 2021. "A Study of the Connection between Intertemporal Changes in Consolidated Macroeconomic Indicators and the Performance of Individual Industries in Russia’s Economy," Studies on Russian Economic Development, Springer, vol. 32(6), pages 611-618, November.
    • Handle: RePEc:spr:sorede:v:32:y:2021:i:6:d:10.1134_s1075700721060150
    DOI: 10.1134/S1075700721060150
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    References listed on IDEAS

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    1. N. V. Suvorov & S. V. Treshchina & Yu. V. Beletskii, 2020. "Design of Methods for Long-Term Forecasting of Development Trends in the Russian Economy (Methodology and Model Toolkit)," Studies on Russian Economic Development, Springer, vol. 31(6), pages 636-646, November.
    2. Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
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