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Macroeconomic modeling of the Russian economy


  • Aivazian, Sergei

    () (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow)

  • Bereznyatsky, Aleksandr

    () (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow)

  • Brodsky, Boris

    (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia, Moscow;)


In this paper the methodology for disaggregated macroeconomic model of the Russian economy of 1990–2010s is given. In this model the following main sectors of the Russian economy are considered: the real sector (subsectors EOM (export-oriented markets), DOM (domestic oriented markets), EM (natural monopolies)), the financial sector, the population. We try to explain why the real understanding of trends and tendencies of the Russian economy is achieved only via interactions between these sectors. The choice of predictors of the macroeconometric model is carried out on the basis of conclusions of the theoretical disaggregated model: the main factors of long-term dynamics in co-integrated equations are considered and the functional form of these equations is chosen. The main conclusion of the authors: the theoretical description of the Russian economy is possible on the basis of the structural disaggregated model which can be used for the macroeconometric modeling.

Suggested Citation

  • Aivazian, Sergei & Bereznyatsky, Aleksandr & Brodsky, Boris, 2017. "Macroeconomic modeling of the Russian economy," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 47, pages 5-27.
  • Handle: RePEc:ris:apltrx:0322

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    References listed on IDEAS

    1. Daniel M. Rees & Penelope Smith & Jamie Hall, 2016. "A Multi-sector Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 374-408, September.
    2. Hamid Faruqee & Douglas Laxton & Bart Turtelboom & Peter Isard & Eswar S Prasad, 1998. "Multimod Mark III; The Core Dynamic and Steady State Model," IMF Occasional Papers 164, International Monetary Fund.
    3. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    4. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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    Cited by:

    1. Aivazian, Sergei & Bereznyatsky, Aleksandr & Brodsky, Boris, 2018. "Modeling Russian social indicators," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 51, pages 5-32.
    2. Айвазян С.А. & Березняцкий А.Н.* & Бродский Б.Е.**, 2019. "Неравновесные Структурные Модели Реального Сектора Российской Экономики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 65-80, апрель.

    More about this item


    Russian economy; disaggregated macromodel; applied econometric analysis;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical


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