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Role of instrumental methods of analysis and forecasting for substantiating economic policy

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  • A. A. Shirov

    (Institute of Economic Forecasting of the Russian Academy of Sciences)

Abstract

The models that are becoming the most widespread in the modern Russian economy, which are used for the practical substantiation of measures in the sphere of economic policy, have been analyzed in the paper. The key aspects related to the quality characteristics of the practical models have been defined. The gap between statistical data-collection methods has been stated, as well as the theoretical and methodical bases of some model structures. The place of the economic models has been represented in the course of discussion on the prospects of economic development.

Suggested Citation

  • A. A. Shirov, 2017. "Role of instrumental methods of analysis and forecasting for substantiating economic policy," Studies on Russian Economic Development, Springer, vol. 28(2), pages 121-125, March.
    • Handle: RePEc:spr:sorede:v:28:y:2017:i:2:d:10.1134_s1075700717020095
    DOI: 10.1134/S1075700717020095
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    References listed on IDEAS

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    2. Hertel, Thomas, 1997. "Global Trade Analysis: Modeling and applications," GTAP Books, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, number 7685, December.
    3. A. Yu. Apokin & I. B. Ipatova, 2017. "Components of total factor productivity of the Russian economy with respect to other countries of the world: The role of technical efficiency," Studies on Russian Economic Development, Springer, vol. 28(1), pages 15-21, January.
    4. Dixon, Peter B. & Parmenter, B.R., 1996. "Computable general equilibrium modelling for policy analysis and forecasting," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 1, pages 3-85, Elsevier.
    5. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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    Cited by:

    1. V. N. Borisov & O. V. Pochukaeva, 2019. "Investment Activity and Investment Efficiency in the Mechanical Engineering Industry," Studies on Russian Economic Development, Springer, vol. 30(5), pages 547-556, September.
    2. V. K. Fal’tsman, 2018. "On Measurement of Economic Growth," Studies on Russian Economic Development, Springer, vol. 29(1), pages 6-11, January.
    3. A. O. Aver’yanov & I. S. Stepus’ & V. A. Gurtov, 2023. "Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia," Studies on Russian Economic Development, Springer, vol. 34(1), pages 86-95, February.
    4. T. Kh. Usmanova, 2018. "Projects of Development of Interaction of FEC and HCS: Problems of Forecasting and Management," Studies on Russian Economic Development, Springer, vol. 29(3), pages 274-279, May.

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