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A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth

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  • Fokin, Nikita
  • Polbin, Andrey

Abstract

This paper estimates a bivariate econometric model to describe Russia’s real GDP while taking account of the Russian economy’s high dependence on oil prices, monetary policy regime change, and economic growth slowdown. We follow the theory of long-run neutrality of monetary policy and assume that the Bank of Russia’s monetary policy regime change in late 2014 has influenced only the short-run relationship between Russia’s GDP and oil prices, but long-run multiplier is invariant to monetary policy. The paper also attempts to take account of the economic growth slowdown in last decade. The model has demonstrated good forecasting performance.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:95306
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    References listed on IDEAS

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    1. Clements, Michael P. & Hendry, David F., 2006. "Forecasting with Breaks," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 12, pages 605-657, Elsevier.
    2. Roland Beck & Annette Kamps & Elitza Mileva, 2007. "Long-term growth prospects for the Russian economy," Occasional Paper Series 58, European Central Bank.
    3. Michael B. Devereux & Philip R. Lane & Juanyi Xu, 2006. "Exchange Rates and Monetary Policy in Emerging Market Economies," Economic Journal, Royal Economic Society, vol. 116(511), pages 478-506, April.
    4. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    5. Hadi Salehi Esfahani & Kamiar Mohaddes & M. Hashem Pesaran, 2014. "An Empirical Growth Model For Major Oil Exporters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 1-21, January.
    6. Aivazian, Sergey & Brodsky , Boris & Sandoyan, Edward & Voskanyan, Mariam & Manukyan, David, 2013. "Macroeconometric modeling of Russian and Armenian economies. II. Aggregated macroeconometric models of the national economies of Russia and Armenia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 7-31.
    7. Elena Angelini & Gonzalo Camba‐Mendez & Domenico Giannone & Lucrezia Reichlin & Gerhard Rünstler, 2011. "Short‐term forecasts of euro area GDP growth," Econometrics Journal, Royal Economic Society, vol. 14, pages 25-44, February.
    8. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    9. Porshakov, A. & Ponomarenko, A. & Sinyakov, A., 2016. "Nowcasting and Short-Term Forecasting of Russian GDP with a Dynamic Factor Model," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 60-76.
    10. A. Pestova & M. Mamonov., 2016. "A survey of methods for macroeconomic forecasting: Looking for perspective directions in Russia," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
    11. Alquist, Ron & Kilian, Lutz & Vigfusson, Robert J., 2013. "Forecasting the Price of Oil," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 427-507, Elsevier.
    12. Полбин Андрей Владимирович & Скроботов Антон Андреевич, 2016. "Тестирование Наличия Изломов В Тренде Структурной Компоненты Ввп Российской Федерации," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 20(4), pages 588-623.
    13. 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.
    14. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    15. Kuboniwa, Masaaki, 2014. "A comparative analysis of the impact of oil prices on oil-rich emerging economies in the Pacific Rim," Journal of Comparative Economics, Elsevier, vol. 42(2), pages 328-339.
    16. M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Forecasting Time Series Subject to Multiple Structural Breaks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 1057-1084.
    17. Marina Turuntseva & Sergey Drobyshevsky & Pavel Kadochnnikov, 2005. "Some approachs to forecasting economic indicators," Research Paper Series, Gaidar Institute for Economic Policy, issue 89P, pages 195-195.
    18. Idrisov, Georgy & Kazakova, Maria & Polbin, Andrey, 2015. "A theoretical interpretation of the oil prices impact on economic growth in contemporary Russia," Russian Journal of Economics, Elsevier, vol. 1(3), pages 257-272.
    19. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
    20. Boris B. Demeshev & Oxana A. Malakhovskaya, 2015. "Forecasting Russian Macroeconomic Indicators with BVAR," HSE Working papers WP BRP 105/EC/2015, National Research University Higher School of Economics.
    21. O. Malakhovskaya., 2016. "DSGE-based forecasting: What should our perspective be?," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 12.
    22. Pestova, Anna (Пестова, Анна) & Mamonov, Mikhail (Мамонов, Михаил), 2016. "Estimating the Influence of Different Shocks on Macroeconomic Indicators and Developing Conditional Forecasts on the Basis of BVAR Model for the Russian Economy [Оценка Влияния Различных Шоков На Д," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 56-92, August.
    23. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    24. 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.
    25. Edwards, Sebastian & Levy Yeyati, Eduardo, 2005. "Flexible exchange rates as shock absorbers," European Economic Review, Elsevier, vol. 49(8), pages 2079-2105, November.
    26. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    27. Beck, Roland & Kamps, Annette & Mileva, Elitza, 2007. "Long-term growth prospects for the Russian economy," Occasional Paper Series 58, European Central Bank.
    28. Deryugina, Elena & Ponomarenko, Alexey, 2014. "A large Bayesian vector autoregression model for Russia," BOFIT Discussion Papers 22/2014, Bank of Finland Institute for Emerging Economies (BOFIT).
    29. Broda, Christian, 2004. "Terms of trade and exchange rate regimes in developing countries," Journal of International Economics, Elsevier, vol. 63(1), pages 31-58, May.
    30. James H. Stock & Mark W. Watson, 1998. "A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series," NBER Working Papers 6607, National Bureau of Economic Research, Inc.
    31. Hamilton, James D & Herrera, Ana Maria, 2004. "Oil Shocks and Aggregate Macroeconomic Behavior: The Role of Monetary Policy: Comment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 265-286, April.
    32. Ivashchenko, S., 2013. "Dynamic Stochastic General Equilibrium Model with Banks and Endogenous Defaults of Firms," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 27-50.
    33. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
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    Cited by:

    1. Andrey Feliksovich Bedin & Alexander Vladimirovich Kulikov & Andrey Vladimirovich Polbin, 2021. "A Markov Switching VECM Model for Russian Real GDP, Real Exchange Rate and Oil Prices," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 402-412.
    2. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
    3. Fokin, Nikita & Haritonova, Marina, 2020. "Сравнительный Анализ Прогнозных Моделей Российского Ввп В Условиях Наличия Структурных Сдвигов [Comparative analysis of the forecasting models for Russia’s GDP under the structural breaks]," MPRA Paper 103412, University Library of Munich, Germany.
    4. Zubarev, Andrey & Kirillova, Maria, 2022. "Оценивание Влияния Внешних Шоков На Российскую Экономику С Помощью Модели Gvar [Estimating the impact of external shocks on Russian economy: GVAR approach]," MPRA Paper 113762, University Library of Munich, Germany, revised 01 Jul 2022.
    5. Zubarev, Andrey & Kirillova, Maria, 2021. "Эконометрическая Оценка Влияния Шоков На Рынке Нефти На Макроэкономические Показатели Российской Федерации С Помощью Gvar Моделирования [The Impact of Oil Market Shocks on the Macroeconomic Indicat," MPRA Paper 110410, University Library of Munich, Germany, revised 01 Nov 2021.

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    More about this item

    Keywords

    monetary policy; Russian economy; terms of trade; ARX model; ECM model; structural breaks;
    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
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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