Design of Methods for Long-Term Forecasting of Development Trends in the Russian Economy (Methodology and Model Toolkit)

N. V. Suvorov (), S. V. Treshchina and Yu. V. Beletskii
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N. V. Suvorov: Institute of Economic Forecasting, Russian Academy of Sciences
S. V. Treshchina: Institute of Economic Forecasting, Russian Academy of Sciences
Yu. V. Beletskii: Institute of Economic Forecasting, Russian Academy of Sciences

Studies on Russian Economic Development, 2020, vol. 31, issue 6, 636-646

Abstract: Abstract The subject of this article is to describe possible areas for improvement of long-term economic forecasting methodology based on the mathematical toolkit of econometrics. Design issues are discussed with regard to methodological principles of applying this toolkit to forecasting and analytics. Special attention is paid to the development of a forecasting and analytical calculation scheme that ensures interconnected generation of long-term indicators of economic development at the macroeconomic and sectoral levels.

Keywords: long-term forecasting methodology; econometric models; input–output method; principal component analysis; time series analysis (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1134/S107570072006012X

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