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DSGE Model of the Russian Economy with the Banking Sector

Author

Listed:
  • Dmitry Kreptsev

    (Bank of Russia, Russian Federation)

  • Sergei Seleznev

    (Bank of Russia, Russian Federation)

Abstract

This paper presents the DSGE model of the Russian economy with the banking sector which the Bank of Russia uses for simulation experiments. We show how the introduction of the banking sector changes impulse responses of a standard DSGE model of a small open economy. We also demonstrate that the model has fairly good predictive power. The model enables us to study the effect of banking sector-specific shocks on the economy. Estimation on Russian data has led us to conclude that in this model such shocks did not have a significant effect on the real economy’s variables in the period under observation spanning years from 2006 to 2016.

Suggested Citation

  • Dmitry Kreptsev & Sergei Seleznev, 2017. "DSGE Model of the Russian Economy with the Banking Sector," Bank of Russia Working Paper Series wps27, Bank of Russia.
    • Handle: RePEc:bkr:wpaper:wps27
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    References listed on IDEAS

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    Cited by:

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    2. Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
    3. Oleg Kryzhanovsky & Alexander Zykov, 2022. "DEMUR: A Regional Semi-Structural Model of the Ural Macroregion," Russian Journal of Money and Finance, Bank of Russia, vol. 81(4), pages 52-85, December.
    4. Mikhail Andreev & M. Udara Peiris & Alexander Shirobokov & Dimitrios P. Tsomocos, 2024. "Commodity cycles and financial instability in emerging economies," Annals of Finance, Springer, vol. 20(2), pages 167-197, June.
    5. 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.
    6. Ivan Khotulev, 2020. "Shock-Dependent Exchange Rate Pass-Through in Russia," Bank of Russia Working Paper Series note20, Bank of Russia.
    7. Samvel S. Lazaryan & Maria A. Elkina, 2021. "Financial Sector’s Role in Transmission of Monetary and Fiscal Shocks in Russian Economy: Estimation Under Different Assumptions About Production Sector," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 25-53, December.
    8. Daniil Lomonosov, 2023. "Shocks of Business Activity and Specific Shocks to Oil Market in DSGE Model of Russian Economy and Their Influence Under Different Monetary Policy Regimes," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 44-79, December.
    9. 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.
    10. Alexander Eliseev, 2025. "Nowcasting Russian GDP in a Mixed-Frequency DSGE Model with a Panel of Non-Modelled Variables," Russian Journal of Money and Finance, Bank of Russia, vol. 84(3), pages 63-93, September.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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