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Oil dependency of the Russian economy: An econometric analysis

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  • Benedictow, Andreas
  • Fjærtoft, Daniel
  • Løfsnæs, Ole

Abstract

A macro econometric model of the Russian economy is tailored to analyze the effects of changes in the oil price and alternative fiscal policies. Model simulations indicate that the Russian economy is vulnerable to large fluctuations in the oil price, but we also find evidence of significant economic growth capabilities in the absence of oil price growth. A higher oil price not only leads to higher economic growth and savings in the sovereign wealth fund, but also induces a rupture in the Russian economy. Public spending and household spending increase while the traditional export industries suffer from real appreciation, in line with the Dutch disease hypothesis. We also show that alternative policies for spending of the petroleum income may have considerable consequences for economic growth, the degree of crowding out of traditional export industries and wealth accumulation in the fund.

Suggested Citation

  • Benedictow, Andreas & Fjærtoft, Daniel & Løfsnæs, Ole, 2013. "Oil dependency of the Russian economy: An econometric analysis," Economic Modelling, Elsevier, vol. 32(C), pages 400-428.
    • Handle: RePEc:eee:ecmode:v:32:y:2013:i:c:p:400-428
    DOI: 10.1016/j.econmod.2013.02.016
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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    2. Roger Bjørnstad & Eilev S. Jansen, 2007. "The NOK/euro exhange rate after inflation targeting: The interest rate rules," Discussion Papers 501, Statistics Norway, Research Department.
    3. Mohammad R. Jahan-Parvar (bio) & Hassan Mohammadi (bio), 2011. "Oil Prices and Real Exchange Rates in Oil-Exporting Countries: A Bounds Testing Approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 313-322, July-Dece.
    4. Rutherford, Thomas & Tarr, David & Shepotylo, Oleksandr, 2005. "The impact on Russia of WTO accession and the Doha agenda : the importance of liberalization of barriers against foreign direct investment in services for growth and poverty reduction," Policy Research Working Paper Series 3725, The World Bank.
    5. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    6. repec:ucp:bknber:9780226791258 is not listed on IDEAS
    7. Jesper Jensen & Thomas Rutherford & David Tarr, 2014. "The Impact of Liberalizing Barriers to Foreign Direct Investment in Services: The Case of Russian Accession to the World Trade Organization," World Scientific Book Chapters, in: APPLIED TRADE POLICY MODELING IN 16 COUNTRIES Insights and Impacts from World Bank CGE Based Projects, chapter 6, pages 125-149, World Scientific Publishing Co. Pte. Ltd..
    8. Alexander Alekseev & Natalia Tourdyeva & Ksenia Yudaeva, 2003. "Estimation of the Russia’s trade policy options with the help of the Computable General Equilibrium Model," Working Papers w0042, New Economic School (NES).
    9. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164, Decembrie.
    10. Rautava, Jouko, 2004. "The role of oil prices and the real exchange rate in Russia's economy--a cointegration approach," Journal of Comparative Economics, Elsevier, vol. 32(2), pages 315-327, June.
    11. Ramzi Issa & Robert Lafrance & John Murray, 2006. "The Turning Black Tide: Energy Prices and the Canadian Dollar," Staff Working Papers 06-29, Bank of Canada.
    12. Pekka Sulamaa & Mika Widgrén, 2004. "EU-Enlargement and Beyond: A Simulation Study on EU and Russia Integration," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 31(4), pages 307-323, December.
    13. van Wijnbergen, Sweder J G, 1984. "The 'Dutch Disease': A Disease after All?," Economic Journal, Royal Economic Society, vol. 94(373), pages 41-55, March.
    14. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-692, December.
    15. Bruno Merlevede & Koen Schoors & Bas Van Aarle, 2009. "Russia from Bust to Boom and Back: Oil Price, Dutch Disease and Stabilisation Fund," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 51(2), pages 213-241, June.
    16. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    17. John B. Taylor, 2001. "The Role of the Exchange Rate in Monetary-Policy Rules," American Economic Review, American Economic Association, vol. 91(2), pages 263-267, May.
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    More about this item

    Keywords

    Russia; Macro econometric model; Oil price dependency; Fiscal and monetary policies; Dutch disease;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • 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
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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