IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2021-05-58.html
   My bibliography  Save this article

Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020

Author

Listed:
  • Ivan Aleksandrovich Kopytin

    (Head of Center for Energy Research, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Profsoyuznaya Str.23, Moscow, 117997, Russian Federation)

  • Nikolay Petrovich Pilnik

    (Senior Research Fellow, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Profsoyuznaya Str.23, Moscow, 117997, Russian Federation,)

  • Ivan Pavlovich Stankevich

    (Junior Research Fellow, Primakov National Research Institute of World Economy and International Relations, Russian Academy of Sciences, Profsoyuznaya Str.23, Moscow, 117997, Russian Federation.)

Abstract

The paper applies the Bayesian Vector Auto Regression (BVAR) framework to analysis of the influence of world oil price and exchange rate and interest rate policies on economic growth and consumer inflation in three post-Soviet oil exporters: Azerbaijan, Kazakhstan and Russia. It is shown that transition to inflation targeting regime with floating exchange rate in 2014 2015 weakened the link between economic growth and world oil price in Russia and Kazakhstan. In Azerbaijan previously nonexistent systemic link between GDP growth and world oil price has emerged. It is also shown that all three countries de facto diverted from free floating exchange rate regime after 2017.

Suggested Citation

  • Ivan Aleksandrovich Kopytin & Nikolay Petrovich Pilnik & Ivan Pavlovich Stankevich, 2021. "Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 510-518.
    • Handle: RePEc:eco:journ2:2021-05-58
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/11324/6051
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/11324/6051
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ksenia Yudaeva, 2018. "Frontiers of Monetary Policy: Global Trends and Russian Inflation Targeting Practicies," Russian Journal of Money and Finance, Bank of Russia, vol. 77(2), pages 95-100, June.
    2. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
    3. Cross, Jamie L. & Hou, Chenghan & Poon, Aubrey, 2020. "Macroeconomic forecasting with large Bayesian VARs: Global-local priors and the illusion of sparsity," International Journal of Forecasting, Elsevier, vol. 36(3), pages 899-915.
    4. K. Korishchenko & N. Pilnik., 2017. "On the limits of the possibility of inflation targeting," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    5. Famil Majidli & Hasraddin Guliyev, 2020. "How Oil Price and Exchange Rate Affect Non-oil GDP of the Oil-rich Country Azerbaijan?," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 123-130.
    6. Frederic S. Mishkin, 2004. "Can Inflation Targeting Work in Emerging Market Countries?," NBER Working Papers 10646, National Bureau of Economic Research, Inc.
    7. Klaus Schmidt-Hebbel & Alejandro M. Werner, 2002. "Inflation Targeting in Brazil, Chile, and Mexico: Performance, Credibility, and the Exchange Rate," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 31-90, January.
    8. Ivan Khotulev & Konstantin Styrin, 2020. "Optimal Monetary and Macroprudential Policies for Financial Stability in a Commodity-Exporting Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 79(2), pages 3-42, June.
    9. Frederic S. Mishkin, 2000. "Inflation Targeting in Emerging-Market Countries," American Economic Review, American Economic Association, vol. 90(2), pages 105-109, May.
    10. Hasanov, Fakhri, 2010. "The impact of real oil price on real effective exchange rate: The case of Azerbaijan," MPRA Paper 33493, University Library of Munich, Germany.
    11. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    12. Schmidt-Hebbel, Klaus & Tapia, Matias, 2002. "Inflation targeting in Chile," The North American Journal of Economics and Finance, Elsevier, vol. 13(2), pages 125-146, August.
    13. Philipp Kartaev & Ilya Medvedev, 2019. "Monetary policy and the effect of the oil prices pass-through to inflation," Russian Journal of Economics, ARPHA Platform, vol. 5(3), pages 211-219, October.
    14. Frantisek Brazdik & Jan Bruha & Michal Franta & David Havrlant & Tibor Hledik & Tomas Holub & Zuzana Humplova & Frantisek Kopriva & Jiri Polansky & Marek Rusnak & Jaromir Tonner, 2015. "Forecasting," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 13, number rb13/1 edited by Jan Babecky & Kamil Galuscak, January.
    15. Tibor Hledik & Karel Musil & Jakub Rysanek & Jaromir Tonner, 2018. "A Macroeconomic Forecasting Model of the Fixed Exchange Rate Regime for the Oil-Rich Kazakh Economy," Working Papers 2018/11, Czech National Bank.
    16. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575.
    17. Marco Del Negro & Domenico Giannone & Marc P. Giannoni & Andrea Tambalotti, 2017. "Safety, Liquidity, and the Natural Rate of Interest," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(1 (Spring), pages 235-316.
    18. Shahriyar Mukhtarov & Jeyhun Mammadov & Fariz Ahmadov, 2019. "The Impact of Oil Prices on Inflation: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 97-102.
    19. Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joohun Han & John N. Ng’ombe, 2023. "The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-12, December.
    2. Sugra Humbatova & Ibrahim Guliyev Gadim & Sabuhi Tanriverdiyev Mileddin & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Consumer Market: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 202-215, July.

    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. Ruch,Franz Ulrich, 2021. "Neutral Real Interest Rates in Inflation Targeting Emerging and Developing Economies," Policy Research Working Paper Series 9711, The World Bank.
    2. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    3. Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
    4. Moretti, Laura, 2014. "Inflation targeting and product market deregulation," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 372-386.
    5. Andres–Escayola, Erik & Berganza, Juan Carlos & Campos, Rodolfo G. & Molina, Luis, 2023. "A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    6. Nadiia Shapovalenko, 2021. "A BVAR Model for Forecasting Ukrainian Inflation," IHEID Working Papers 05-2021, Economics Section, The Graduate Institute of International Studies.
    7. Murasawa Yasutomo, 2022. "Bayesian multivariate Beveridge–Nelson decomposition of I(1) and I(2) series with cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(3), pages 387-415, June.
    8. Sek, Siok Kun, 2008. "Interactions between monetary policy and exchange rate in inflation targeting emerging countries: the case of three East Asian countries," MPRA Paper 12034, University Library of Munich, Germany, revised 09 Dec 2008.
    9. Prasertnukul, Weera & Kim, Donghun & Kakinaka, Makoto, 2010. "Exchange rates, price levels, and inflation targeting: Evidence from Asian countries," Japan and the World Economy, Elsevier, vol. 22(3), pages 173-182, August.
    10. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    11. Prüser, Jan & Blagov, Boris, 2022. "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers 960, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    12. Abdelkader Aguir, 2015. "Efficiency of monetary policy under inflation targeting," Post-Print hal-03791251, HAL.
    13. Abdelkader AGUIR & Mounir Smida, 2015. "The macroeconomic performance of the inflation targeting policy: An approach based on the Efficient Frontier," Post-Print hal-03825930, HAL.
    14. Martínez-Hernández, Catalina, 2020. "Disentangling the effects of multidimensional monetary policy on inflation and inflation expectations in the euro area," Discussion Papers 2020/18, Free University Berlin, School of Business & Economics.
    15. Zhang, Bo & Nguyen, Bao H., 2020. "Real-time forecasting of the Australian macroeconomy using Bayesian VARs," Working Papers 2020-12, University of Tasmania, Tasmanian School of Business and Economics.
    16. Adnen Chockri & Ibticem Frihka, 2011. "La portée de la politique de ciblage d’inflation: Approche analytique et empirique pour le cas Tunisien," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 58(1), pages 91-111, March.
    17. Cross, Jamie L. & Hou, Chenghan & Koop, Gary & Poon, Aubrey, 2023. "Large stochastic volatility in mean VARs," Journal of Econometrics, Elsevier, vol. 236(1).
    18. Goran Petrevski, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," Papers 2305.17474, arXiv.org.
    19. Anna Sznajderska & Alfred A. Haug, 2023. "Bayesian VARs of the U.S. economy before and during the pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 211-236, June.
    20. Zhang, Wen, 2022. "China’s government spending and global inflation dynamics: The role of the oil price channel," Energy Economics, Elsevier, vol. 110(C).

    More about this item

    Keywords

    Brent Oil Price; Nominal Exchange Rate; Economic growth; Interest Rate; Inflation.;
    All these keywords.

    JEL classification:

    • E11 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Marxian; Sraffian; Kaleckian
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

    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:eco:journ2:2021-05-58. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.