IDEAS home Printed from https://ideas.repec.org/a/ids/ijcome/v4y2014i1-2p148-180.html
   My bibliography  Save this article

Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia

Author

Listed:
  • Oxana Malakhovskaya
  • Alexey Minabutdinov

Abstract

This paper constructs a DSGE model for an economy with commodity exports. We estimate the model using Russian data, making a special focus on quantitative effects of commodity price dynamics. There is a widespread belief that economic activity in Russia crucially depends on oil prices, but quantitative estimates are scarce. We estimate an oil price effect on the Russian economy in a general equilibrium framework. Our setup is similar to those of Kollmann (2001) and Dam and Linaa (2005), but we extend their models by explicitly accounting for oil revenues. In addition to standard supply, demand, cost-push, and monetary policy shocks, we include the shock of commodity export revenues. The main objective of the paper is to identify the contribution of structural shocks to business cycle fluctuations in the Russian economy. We found that despite a strong impact on GDP from commodity export shocks, business cycles in Russia are mostly domestically based.

Suggested Citation

  • Oxana Malakhovskaya & Alexey Minabutdinov, 2014. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 148-180.
    • Handle: RePEc:ids:ijcome:v:4:y:2014:i:1/2:p:148-180
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=60294
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Abel, Andrew B, 1990. "Asset Prices under Habit Formation and Catching Up with the Joneses," American Economic Review, American Economic Association, vol. 80(2), pages 38-42, May.
    3. Corsetti, Giancarlo & Dedola, Luca & Leduc, Sylvain, 2008. "High exchange-rate volatility and low pass-through," Journal of Monetary Economics, Elsevier, vol. 55(6), pages 1113-1128, September.
    4. Schmitt-Grohe, Stephanie & Uribe, Martin, 2003. "Closing small open economy models," Journal of International Economics, Elsevier, vol. 61(1), pages 163-185, October.
    5. Kirill Sosunov & Oleg Zamulin, 2007. "Monetary Policy in an Economy Sick with Dutch Disease," Working Papers w0101, New Economic School (NES).
    6. Ester Faia & Tommaso Monacelli, 2008. "Optimal Monetary Policy in a Small Open Economy with Home Bias," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 721-750, June.
    7. Paul R. Bergin & Robert C. Feenstra, 2017. "Pricing-to-Market, Staggered Contracts, and Real Exchange Rate Persistence," World Scientific Book Chapters, in: International Macroeconomic Interdependence, chapter 6, pages 155-185, World Scientific Publishing Co. Pte. Ltd..
    8. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    9. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    10. Jordi Galí, 2008. "Introduction to Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework," Introductory Chapters, in: Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New Keynesian Framework, Princeton University Press.
    11. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    12. Jouko Rautava, 2002. "The role of oil prices and the real exchange rate in Russia‘s economy," Macroeconomics 0209004, University Library of Munich, Germany.
    13. Kollmann, Robert, 2001. "The exchange rate in a dynamic-optimizing business cycle model with nominal rigidities: a quantitative investigation," Journal of International Economics, Elsevier, vol. 55(2), pages 243-262, December.
    14. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
    15. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    16. Jesper Lindé & Marianne Nessén & Ulf Söderström, 2009. "Monetary policy in an estimated open-economy model with imperfect pass-through," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 301-333.
    17. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    18. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    19. Bela Balassa, 1964. "The Purchasing-Power Parity Doctrine: A Reappraisal," Journal of Political Economy, University of Chicago Press, vol. 72(6), pages 584-584.
    20. Niels Arne Dam & Jesper Gregers Linaa, 2005. "Assessing the Welfare Cost of a Fixed Exchange-Rate Policy," EPRU Working Paper Series 05-04, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    21. Ikeda, Taro, 2010. "Interest Rate Rule For The Russian Monetary Policy : Nonlinearity And Asymmetricity," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 51(1), pages 1-11, June.
    22. John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.
    23. William B. Peterman, 2016. "Reconciling Micro And Macro Estimates Of The Frisch Labor Supply Elasticity," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 100-120, January.
    24. Semko Roman, 2013. "Optimal economic policy and oil prices shocks in Russia," EERC Working Paper Series 13/03e, EERC Research Network, Russia and CIS.
    25. Cúrdia, Vasco & Finocchiaro, Daria, 2005. "An Estimated DSGE Model for Sweden with a Monetary Regime Change," Seminar Papers 740, Stockholm University, Institute for International Economic Studies.
    26. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    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. O. Malakhovskaya., 2016. "DSGE-based forecasting: What should our perspective be?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 12.
    2. Ahmad, Yamin & Lo, Ming Chien & Mykhaylova, Olena, 2013. "Volatility and persistence of simulated DSGE real exchange rates," Economics Letters, Elsevier, vol. 119(1), pages 38-41.
    3. Adolfson, Malin & Laseen, Stefan & Linde, Jesper & Villani, Mattias, 2007. "Bayesian estimation of an open economy DSGE model with incomplete pass-through," Journal of International Economics, Elsevier, vol. 72(2), pages 481-511, July.
    4. 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.
    5. Ahmad, Yamin & Lo, Ming Chien & Mykhaylova, Olena, 2013. "Causes of nonlinearities in low-order models of the real exchange rate," Journal of International Economics, Elsevier, vol. 91(1), pages 128-141.
    6. Thorvardur Tjörvi Ólafsson, 2006. "The New Keynesian Phillips Curve: In Search of Improvements and Adaptation to the Open Economy," Economics wp31_tjorvi, Department of Economics, Central bank of Iceland.
    7. Christopher J. Erceg & Luca Guerrieri & Christopher Gust, 2006. "SIGMA: A New Open Economy Model for Policy Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(1), March.
    8. Barseghyan Gayane, 2013. "An Estimated Dynamic Stochastic General Equilibrium Model for Armenian Economy," EERC Working Paper Series 13/11e, EERC Research Network, Russia and CIS.
    9. Andrej Drygalla, 2023. "Monetary policy in an oil-dependent economy in the presence of multiple shocks," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(1), pages 185-214, February.
    10. Jaromir Benes & Tibor Hledik & Michael Kumhof & David Vavra, 2005. "An Economy in Transition and DSGE: What the Czech National Bank’s New Projection Model Needs," Working Papers 2005/12, Czech National Bank.
    11. PLASMANS, Joseph & FORNERO, Jorge & MICHALAK, Tomasz, 2006. "A microfounded sectoral model for open economies," Working Papers 2007013, University of Antwerp, Faculty of Business and Economics.
    12. Luca Guerrieri & Christopher Gust & J. David López-Salido, 2010. "International Competition and Inflation: A New Keynesian Perspective," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 247-280, October.
    13. Oana Simona HUDEA, 2016. "The New Keynesian Theory And Its Associated Model," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 8, pages 151-159, December.
    14. Adnan Haider & Musleh ud Din & Ejaz Ghani, 2012. "Monetary Policy, Informality and Business Cycle Fluctuations in a Developing Economy Vulnerable to External Shocks," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 51(4), pages 609-681.
    15. Maas, Daniel & Mayer, Eric & Rüth, Sebastian K., 2018. "Current account dynamics and the housing cycle in Spain," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 22-43.
    16. Juan Pablo Medina & Claudio Soto, 2007. "The Chilean Business Cycles Through the Lens of a Stochastic General Equilibrium Model," Working Papers Central Bank of Chile 457, Central Bank of Chile.
    17. Pietro Bonaldi & Andrés González & Diego Rodríguez, 2011. "Importancia de las rigideces nominales y reales en Colombia: un enfoque de equilibrio general dinámico y estocástico," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 29(66), pages 48-78, December.
    18. Smets, Frank & Wouters, Raf, 2002. "Openness, imperfect exchange rate pass-through and monetary policy," Journal of Monetary Economics, Elsevier, vol. 49(5), pages 947-981, July.
    19. Reiner Franke & Stephen Sacht, 2014. "Some Observations On The High-Frequency Versions Of A Standard New-Keynesian Model," Bulletin of Economic Research, Wiley Blackwell, vol. 66(1), pages 72-94, January.
    20. William Gatt & Noel Rapa & Luca Brugnolini, 2020. "MEDSEA-FIN A DSGE model of the Maltese economy with housing and financial frictions," CBM Working Papers WP/04/2020, Central Bank of Malta.

    More about this item

    Keywords

    commodity price shocks; Bayesian estimation; DSGE model; dynamic stochastic general equilibrium; Russia; business cycles; oil price effect; commodity prices; modelling; oil prices; national economy; oil revenues; supply shocks; demand shocks; cost-push shocks; monetary policy shocks; commodity export revenues; structural shocks; business cycle fluctuations.;
    All these keywords.

    JEL classification:

    • 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

    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:ids:ijcome:v:4:y:2014:i:1/2:p:148-180. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=311 .

    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.