IDEAS home Printed from https://ideas.repec.org/a/gai/rpaper/124.html
   My bibliography  Save this article

Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy

Author

Listed:
  • Andrei Polbin

    (Gaidar Institute for Economic Policy)

  • Sergey Drobyshevsky

    (Gaidar Institute for Economic Policy)

Abstract

This paper describes a dynamic stochastic general equilibrium (DSGE) model for the Russian economy. It takes into account a high dependence of the national economy on the oil export. The model consists of three production sectors: tradable and non-tradable sectors and oil extraction sector. Oil is exported and used as an input in tradable and non-tradable sectors. As an application of the calibrated model we analyze the macroeconomic effects of structural shocks that are popular in the literature and actual for the Russian economy including oil price shocks.

Suggested Citation

  • Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    • Handle: RePEc:gai:rpaper:124
    as

    Download full text from publisher

    File URL: http://www.iep.ru/files/RePEc/gai/rpaper/124Drobyshevsky.pdf
    File Function: Revised version, 2013
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Melnikov, Roman, 2010. "The impact of oil price dynamics on the macroeconomic indicators of the Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 17(1), pages 20-29.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arcady Solovyev, 2016. "Demographic Risks of the Pension Reform in the Russian Federation," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 162-174.
    2. 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.
    3. Mikhail Yu. Andreyev & Andrey V. Polbin, 2018. "The Impact of Fiscal Policy on Macroeconomic Indicators in DSGE-models," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 21-33, June.
    4. 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.
    5. Anton I. Votinov & Maria A. Elkina, 2018. "Estimation of Fiscal Stimulus Efficiency in Russian Economy: Simple DSGE Model With Government Sector," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 83-96, October.
    6. Ainagul T. Mamyralieva & Aziza B. Karbekova & Gulchehra B. Abdyrahmanova, 2022. "Analysis of the economic sectors? sustainability of the Kyrgyz Republic," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 185-204.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:gai:rpaper:124 is not listed on IDEAS
    2. Balashova, Svetlana & Serletis, Apostolos, 2020. "Oil prices shocks and the Russian economy," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    3. Sohag, Kazi & Hassan, M. Kabir & Kalina, Irina & Mariev, Oleg, 2023. "The relative response of Russian National Wealth Fund to oil demand, supply and risk shocks," Energy Economics, Elsevier, vol. 123(C).

    More about this item

    Keywords

    Russian economy; stochastic model of general equilibrium.;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gai:rpaper:124. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aleksei Astakhov (email available below). General contact details of provider: https://edirc.repec.org/data/gaidaru.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.