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Econometric estimation of a structural macroeconomic model for the Russian economy

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  • Polbin, Andrey

    (Russian Presidential academy of national economy and public administration, Moscow, Russia)

Abstract

One of the main trends of modern macroeconomic analysis is the development of dynamic stochastic general equilibrium models with a wide range of nominal and real rigidities and estimation of these models with the Bayesian technique. The article studies the application of this approach for the evaluating business cycles of the Russian economy. In this paper we estimate a model for the Russian economy and analyze contribution of structural shocks to the business cycle.

Suggested Citation

  • Polbin, Andrey, 2014. "Econometric estimation of a structural macroeconomic model for the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 3-29.
    • Handle: RePEc:ris:apltrx:0227
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    Cited by:

    1. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    2. Sergey Ivashchenko, 2022. "Dynamic Stochastic General Equilibrium Model with Multiple Trends and Structural Breaks," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 46-72, March.
    3. Idrisov, Georgy & Kazakova, Maria & Polbin, Andrey, 2015. "A theoretical interpretation of the oil prices impact on economic growth in contemporary Russia," Russian Journal of Economics, Elsevier, vol. 1(3), pages 257-272.
    4. Zubarev, Andrey V. (Зубарев, Андрей) & Polbin, Andrey V. (Ролбин, Андрей), 2016. "Estimation of Macroeconomic Effects from the Decline in Oil Export Duty [Оценка Макроэкономических Эффектов От Снижения Экспортной Пошлины На Нефть]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 6, pages 8-35, December.
    5. Idrisov, Georgiy (Идрисов, Георгий) & Kazakova, Maria (Казакова, Мария) & Polbin, Andrey (Полбин, Андрей), 2014. "The theoretical interpretation of the effect of oil prices on economic growth in modern Russia [Теоретическая Интерпретация Влияния Нефтяных Цен На Экономический Рост В Современной России]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 150-171, October.
    6. Mikhail Andreyev & Mikhail Andreyev & Mikhail Andreyev, 2020. "Adding a fiscal rule into a DSGE model: How much does it change the forecasts?," Bank of Russia Working Paper Series wps64, Bank of Russia.
    7. Shulgin, Andrei, 2014. "How much monetary policy rules do we need to estimate DSGE model for Russia?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 3-31.
    8. Shulgin, A., 2015. "Optimization of Simple Monetary Policy Rules on the Base of Estimated DSGE-model," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 64-98.
    9. Gleb Kurovskiy, 2017. "Modelling terms of trade volatility impact on output dynamics in Russia," EcoMod2017 10361, EcoMod.
    10. Shulgin, A., 2017. "Two-Dimensional Monetary Policy Shocks in DSGE-Model Estimated for Russia," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 75-115.
    11. Ekaterina Pyltsyna, 2018. "The Change Of Fiscal Multiplier When Switching From Managed Exchange Rate Regime To Thefloating One," HSE Working papers WP BRP 206/EC/2018, National Research University Higher School of Economics.
    12. O. Malakhovskaya., 2016. "DSGE-based forecasting: What should our perspective be?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 12.
    13. Pestova, Anna (Пестова, Анна) & Mamonov, Mikhail (Мамонов, Михаил), 2016. "Estimating the Influence of Different Shocks on Macroeconomic Indicators and Developing Conditional Forecasts on the Basis of BVAR Model for the Russian Economy [Оценка Влияния Различных Шоков На Д," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 56-92, August.
    14. Mikhail Andreev & M. Udara Peiris & Aleksandr Shirobokov & Dimitrios P. Tsomocos, 2019. "Macroprudential Policy and Financial (In)Stability Analysis in the Russian Federation," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 3-37, September.
    15. Dmitry Kreptsev & Sergei Seleznev, 2018. "Forecasting for the Russian Economy Using Small-Scale DSGE Models," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 51-67, June.
    16. A. Polbin., 2017. "Econometric estimation of the impact of oil prices shock on the Russian economy in VECM model," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    17. Рубинштейн Александр Яковлевич, "undated". "Рациональность & Иррациональность: Эволюция Смыслов [Rationality & Irrationality: Evolution of the Senses]," Working papers a:pru175:ye:2017:1, Institute of Economics.
    18. Elizaveta V. Martyanova & Andrey V. Polbin, 2023. "General equilibrium model with the entrepreneurial sector for the Russian economy," Russian Journal of Economics, ARPHA Platform, vol. 9(2), pages 109-133, July.
    19. Elizaveta V. Martyanova & Andrey V. Polbin, 2024. "Scenario Assessment of Macroeconomic Effects of Progressive Taxation in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 8-30, February.
    20. Sergey M. Ivashchenko, 2019. "DSGE Models: Problem of Trends," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 2, pages 81-95, April.
    21. Polbin, Andrey & Skrobotov, Anton, 2017. "Спектральная Оценка Компоненты Бизнес Цикла Ввп России С Учетом Высокой Зависимости От Условий Торговли [Spectral estimation of the business cycle component of the Russian GDP under high dependence," MPRA Paper 78667, University Library of Munich, Germany.

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    More about this item

    Keywords

    DSGE modeling; small open economy; business cycles; Bayesian econometrics.;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E40 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - General
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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