IDEAS home Printed from https://ideas.repec.org/p/bkr/wpaper/wps64.html
   My bibliography  Save this paper

Adding a fiscal rule into a DSGE model: How much does it change the forecasts?

Author

Listed:
  • Mikhail Andreyev

    (Bank of Russia, Russian Federation)

  • Mikhail Andreyev

    (Bank of Russia, Russian Federation)

  • Mikhail Andreyev

    (Bank of Russia, Russian Federation)

Abstract

This article analyses an expansion of the dynamic stochastic general equilibrium model presented in Kreptsev, Seleznev (2017) and used by the Bank of Russia to forecast macroeconomic variables. The model was supplemented with an extended description of the fiscal sector, which formalises the fiscal rule in effect in Russia and which is similar to the one used in Medina, Soto (2007). The model was estimated on the basis of Russian data. Based on impulse response functions, we analyse the stabilising effect of the fiscal rule on macroeconomic variables. It was found that the fiscal rule leads to a decrease in output volatility, a slight decrease in exchange rate volatility and a stronger disinflationary effect in response to a positive oil price shock. The forecast errors were used to analyse whether it is possible to apply the formalisation of the fiscal rule in order to improve the forecast of macroeconomic variables within the DSGE model. We found that the fiscal rule does not improve the quality of the forecasts.

Suggested Citation

  • 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.
    • Handle: RePEc:bkr:wpaper:wps64
    as

    Download full text from publisher

    File URL: https://www.cbr.ru/StaticHtml/File/117490/wp-64_e.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bernanke, Ben S. & Gertler, Mark & Gilchrist, Simon, 1999. "The financial accelerator in a quantitative business cycle framework," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 21, pages 1341-1393, Elsevier.
    2. 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.
    3. Luis Felipe Céspedes & Roberto Chang & Andrés Velasco, 2004. "Balance Sheets and Exchange Rate Policy," American Economic Review, American Economic Association, vol. 94(4), pages 1183-1193, September.
    4. Mark Gertler & Simon Gilchrist & Fabio M. Natalucci, 2007. "External Constraints on Monetary Policy and the Financial Accelerator," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 295-330, March.
    5. Andreyev, M. & Polbin, A., 2019. "Studying the financial accelerator effect in a two-sector DSGE model for an exportoriented economy," Journal of the New Economic Association, New Economic Association, vol. 44(4), pages 12-49.
    6. 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.
    7. Juan Pablo Medina & Claudio Soto, 2007. "Copper Price, Fiscal Policu and Business Cycle in Chile," Working Papers Central Bank of Chile 458, Central Bank of Chile.
    8. 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.
    9. Pieschacón, Anamaría, 2012. "The value of fiscal discipline for oil-exporting countries," Journal of Monetary Economics, Elsevier, vol. 59(3), pages 250-268.
    10. Céspedes, Luis Felipe & Velasco, Andrés, 2014. "Was this time different?: Fiscal policy in commodity republics," Journal of Development Economics, Elsevier, vol. 106(C), pages 92-106.
    11. Kumhof, Michael & Laxton, Douglas, 2013. "Simple fiscal policy rules for small open economies," Journal of International Economics, Elsevier, vol. 91(1), pages 113-127.
    12. Jalali-Naini, Ahmad Reza & Naderian, Mohammad Amin, 2020. "Financial vulnerability, fiscal procyclicality and inflation targeting in developing commodity exporting economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 84-97.
    13. Hilde C. Bjørnland & Leif Anders Thorsrud, 2019. "Commodity prices and fiscal policy design: Procyclical despite a rule," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 161-180, March.
    14. Andrea Gerali & Stefano Neri & Luca Sessa & Federico M. Signoretti, 2010. "Credit and Banking in a DSGE Model of the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(s1), pages 107-141, September.
    15. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
    Full references (including those not matched with items on IDEAS)

    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. FrIrina Kozlovtceva & Alexey Ponomarenko & Andrey Sinyakov & Stas Tatarintsev, 2020. "A case for leaning against the wind in a commodity-exporting economy," International Economics, CEPII research center, issue 164, pages 86-114.
    2. Myung-Soo Yie & Byoung Hark Yoo, 2016. "The Role Of Foreign Debt And Financial Frictions In A Small Open Economy Dsge Model," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-23, December.
    3. Hur, Joonyoung & Lartey, Emmanuel K.K., 2016. "Financial openness, the financial accelerator and sectoral dynamics," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 277-290.
    4. Schmidt, Sebastian & Wieland, Volker, 2013. "The New Keynesian Approach to Dynamic General Equilibrium Modeling: Models, Methods and Macroeconomic Policy Evaluation," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1439-1512, Elsevier.
    5. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    6. PIROVANO, Mara, 2013. "International financial integration, credit frictions and exchange rate regimes," Working Papers 2013015, University of Antwerp, Faculty of Business and Economics.
    7. Gan-Ochir Doojav & Kaliappa Kalirajan, 2020. "Financial Frictions and Shocks in an Estimated Small Open Economy DSGE Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 253-291, June.
    8. Kang, Hyunju, 2013. "Behind the scenes of abandoning a fixed exchange rate regime," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3145-3156.
    9. Javier Gómez Pineda, 2004. "A Framework for Macroeconomic Stability in Emerging Market Economies," Borradores de Economia 320, Banco de la Republica de Colombia.
    10. Levine, Paul & Pearlman, Joseph, 2011. "Monetary and Fiscal Policy in a DSGE Model of India," Working Papers 11/96, National Institute of Public Finance and Policy.
    11. Falagiarda, Matteo & Saia, Alessandro, 2017. "Credit, Endogenous Collateral and Risky Assets: A DSGE Model," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 125-148.
    12. Uluc Aysun, 2006. "Automatic Stabilizer Feature of Fixed Exchange Rate Regimes in Emerging Markets," Working papers 2006-27, University of Connecticut, Department of Economics, revised Aug 2008.
    13. Villca, Alfredo, 2022. "Commodity prices, bank balance sheets and macroprudential policies in small open economies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(1).
    14. Javier Guillermo Gómez, 2006. "Capital Flows and Monetary Policy," Borradores de Economia 2097, Banco de la Republica.
    15. Merola, Rossana, 2015. "The role of financial frictions during the crisis: An estimated DSGE model," Economic Modelling, Elsevier, vol. 48(C), pages 70-82.
    16. Jae Sim & Simon Gilchrist, 2007. "Investment during the Korean financial crisis: A structural econometric approach," 2007 Meeting Papers 53, Society for Economic Dynamics.
    17. Lopez-Martin, Bernabe & Leal, Julio & Martinez Fritscher, Andre, 2019. "Commodity price risk management and fiscal policy in a sovereign default model," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 304-323.
    18. Ottonello, Pablo, 2021. "Optimal exchange-rate policy under collateral constraints and wage rigidity," Journal of International Economics, Elsevier, vol. 131(C).
    19. Gulcin Ozkan & Filiz Unsal, "undated". "External finance, sudden stops and financial crisis: what is different this time?," Discussion Papers 09/22, Department of Economics, University of York.
    20. Javier Gómez Pineda, 2004. "Inflation Targeting, Sudden Stops and the Cost of Fear of Floating," Borradores de Economia 276, Banco de la Republica de Colombia.

    More about this item

    Keywords

    DSGE model; fiscal rule; reserve fund; credit cycle; commodity prices; financial frictions; monetary policy;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bkr:wpaper:wps64. 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: BoR Research (email available below). General contact details of provider: https://edirc.repec.org/data/cbrgvru.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.