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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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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Deryugina, Elena & Ponomarenko, Alexey, 2014. "A large Bayesian vector autoregression model for Russia," BOFIT Discussion Papers 22/2014, Bank of Finland, Institute for Economies in Transition.
    2. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2017. "Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of “Dutch disease” in Colombia," Empirical Economics, Springer, vol. 52(2), pages 777-798, March.
    3. Nasir, Muhammad Ali & Naidoo, Lutchmee & Shahbaz, Muhammad & Amoo, Nii, 2018. "Implications of oil prices shocks for the major emerging economies: A comparative analysis of BRICS," Energy Economics, Elsevier, vol. 76(C), pages 76-88.
    4. Doina-Ana Draniceanu & Elena-Doina Dascalu & Lucian-Florin Onisor, 2014. "Sovereign Wealth Funds –Activity, Development and Forecasting," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 168-183, December.
    5. Feldkircher, Martin, 2015. "A global macro model for emerging Europe," Journal of Comparative Economics, Elsevier, vol. 43(3), pages 706-726.
    6. Asset Izatov, 2015. "The Role of Oil Prices, the Real Effective Exchange Rate, and Inflation in Economic Activity of Russia: An Empirical Investigation," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 1(3), pages 48-70.
    7. Izatov, Asset, 2015. "The Role of Oil Prices, Real Effective Exchange Rate and Inflation in Economic Activity of Russia: An Empirical Investigation," MPRA Paper 70735, University Library of Munich, Germany, revised 2015.
    8. Nasir, Muhammad Ali & Al-Emadi, Ahmed Abdulsalam & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Importance of oil shocks and the GCC macroeconomy: A structural VAR analysis," Resources Policy, Elsevier, vol. 61(C), pages 166-179.
    9. O. Malakhovskaya., 2016. "DSGE-based forecasting: What should our perspective be?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 12.
    10. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    11. Mikosch, Heiner & Solanko, Laura, 2017. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher-frequency indicators," BOFIT Discussion Papers 19/2017, Bank of Finland, Institute for Economies in Transition.

    More about this item

    Keywords

    Russia; Macro econometric model; Oil price dependency; Fiscal and monetary policies; Dutch disease;

    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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