IDEAS home Printed from https://ideas.repec.org/p/eus/wpaper/ec2013_02.html

Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms

Author

Listed:
  • Sergey Ivashchenko

Abstract

A dynamic stochastic general equilibrium (DSGE) model with endogenous defaults of firms is developed. Proposed mechanism of defaults is very flexible. It takes into account amount of assets owned by firms. It suggests that banks receive some payment from firm after default. The model is estimated for USA and for Russia. (In Russian).

Suggested Citation

  • Sergey Ivashchenko, 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," EUSP Department of Economics Working Paper Series 2013/02, European University at St. Petersburg, Department of Economics.
    • Handle: RePEc:eus:wpaper:ec2013_02
    as

    Download full text from publisher

    File URL: https://eusp.org/sites/default/files/archive/ec_dep/wp/Ec-02_13.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Sergey Ivashchenko, 2015. "A 5-sector DSGE Model of Russia," EUSP Department of Economics Working Paper Series 2015/01, European University at St. Petersburg, Department of Economics.
    2. 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.
    3. Sergey Ivashchenko, 2014. "Forecasting in a Non-Linear DSGE Model," EUSP Department of Economics Working Paper Series 2014/02, European University at St. Petersburg, Department of Economics.
    4. Mikhail Andreyev & Alyona Nelyubina, 2024. "Energy transition scenarios in Russia: effects in macroeconomic general equilibrium model with rational expectations," Bank of Russia Working Paper Series wps122, Bank of Russia.
    5. Nikita Fokin & Andrey Polbin, 2019. "Forecasting Russia's Key Macroeconomic Indicators with the VAR-LASSO Model," Russian Journal of Money and Finance, Bank of Russia, vol. 78(2), pages 67-93, June.
    6. Fokin, Nikita & Polbin, Andrey, 2019. "A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth," MPRA Paper 95306, University Library of Munich, Germany, revised Apr 2019.
    7. Sergey Ivashchenko & Andrey Sinyakov, 2025. "Heterogeneous Inflation Expectations Across Economic Agents: Implications for Monetary Policy," Bank of Russia Working Paper Series wps152, Bank of Russia.
    8. Skrypnik, Dmitriy, 2016. "A Macroeconomic Model of the Russian Economy," MPRA Paper 93506, University Library of Munich, Germany.
    9. Иващенко Сергей Михайлович, 2016. "Многосекторная Модель Динамического Стохастического Общего Экономического Равновесия Российской Экономики," Vestnik of the St. Petersburg University. Series 5. Economics Вестник Санкт-Петербургского университета. Серия 5. Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», issue 3, pages 176-202.
    10. Sergey Ivashchenko, 2014. "Forecasting in a Non-Linear DSGE Model," EUSP Department of Economics Working Paper Series Ec-02/14, European University at St. Petersburg, Department of Economics.
    11. Alexander Eliseev, 2025. "Nowcasting Russian GDP in a mixed-frequency DSGE model with a panel of non-modelled variables," Bank of Russia Working Paper Series wps145, Bank of Russia.
    12. 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.
    13. 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.
    14. 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.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:eus:wpaper:ec2013_02. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mikhail Pakhnin (email available below). General contact details of provider: https://edirc.repec.org/data/feeusru.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.