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Spillover Effects in the Customs Union of Russia, Kazakhstan and Belarus

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  • Yulia Vymyatnina

Abstract

A Common Economic Area (CEA) formed by Russia, Kazakhstan and Belarus since January 1st 2012, following creation of the Customs Union between these countries in 2007 (and in operation since mid-2010), raises a number of topical questions on whether it can be sustainable, trade-stimulating, efficient in terms of long-run economic growth etc. However, an important part in the effects of inter-country influence within such a union is played by the degree the countries are connected through other than trade policies - monetary policy in general and exchange rate policy in particular. The nature of such inter-connectedness is influenced by the proneness of these countries to ‘resource curse' (or ‘Dutch disease' broadly understood as reallocation of production inputs in the economy due to its dependence on natural resource exports). Our objective is to check how monetary policies (including exchange rate policies) in these countries influence the others in the Customs Union.We use quarterly data for 1996-2010 for Russia, Belarus and Kazakhstan on the following economic indicators: real GDP, inflation, bilateral and effective exchange rates, interest rates. Additional data are collected on oil prices, oil-related real GDP in all three countries (estimated using the method suggested by Masaaki 2009), capital flows and a proxy for ‘world GDP’ in real terms. We build a small inter-country forward-looking simultaneous equations model based on the New Keynesian Phillips curve in which economies of Russia, Belarus and Kazakhstan are described using a number of equations. The model contains two layers of links between countries: explicit one through real effective exchange rates (that rely also on trade intensity between the countries) and implicit one using inter-country averages suggested by GVAR methodology (Chudik and Pesaran 2007). Unlike GVAR, our model uses a small number of countries only, and contains one dominating country (Russia). However, as Monte-Carlo experiments described in Charemza et al (2009) suggest, GVAR methodology can be successfully used in case of small number of countries with a dominating country. Our version of the inter-country model is an adaptation of the model built in Charemza et al (2009) with a number of changes suitable for a different set of countries. While Belarus can be considered small opened economy and microfoundations for the type of model used can be found in e.g. Gali and Monacelli (2005) and Benigno and Benigno (2006), for Russia microfoundations have to be different and are loosely derived following the argument from Sosunov and Zamulin (2007) and Charemza et al (2009). Kazakhstan might be regarded as a somewhat ‘middle’ case, since in terms of economy size it is closer to Belarus, but in terms of expected macroeconomic dependencies might be reasonably considered closer to Russia with a potential threat of the Dutch disease. The first equation for each country describes output gap depending on its own lagged values, real effective exchange rate (REER), world output gap, base interest rate and inter-country averages of output gaps (GVAR methodology). The second equation describes dynamics of non-systematic part of current inflation through lagged inflation, output gap (alternatively – oil-related real GDP), REER, expected deviation of future inflation from its target level (forward-looking equation) and inter-country averages of inflation. The REER is modeled as consisting of two parts – external (proxied by REER with USD and Euro) and internal (REER with the other two countries from the model) with trade shares used as weights (third equation of the model). Bilateral exchange rates are modeled as related to output gaps and REERs of corresponding countries (fourth equation of the model). The model is closed by requiring that bilateral exchange rates (after proper transformations) are inversely related to each other. The last equation of the model describes monetary policy rule for each country, allowing for different modifications depending on the previous research on the topic, Central Banks announcements etc. Bilateral exchange rates modeling allows also to reflect the degree of exchange rate control by the Central Banks of the relevant countries. The equations are estimated using GMM method. The model includes 18 equations in total, being quite parsimonious in terms of parameters – 77 in all equations. Being heavily inter-related through both exchange rates inter-influence and trade inter-influence, the model allows us to simulate spillover effects of various policy measures and pass-through effects of the ‘Dutch disease' between the CEA countries. Simulation experiments (modeling changes in exchange rate regimes, base interest rate (monetary policy changes) and external changes reflected in external part of REER) demonstrate that Belarus is most dependent on the other two counterparts of the union.

Suggested Citation

  • Yulia Vymyatnina, 2014. "Spillover Effects in the Customs Union of Russia, Kazakhstan and Belarus," EcoMod2014 7160, EcoMod.
  • Handle: RePEc:ekd:006356:7160
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    References listed on IDEAS

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    1. Stijns, Jean-Philippe C., 2005. "Natural resource abundance and economic growth revisited," Resources Policy, Elsevier, vol. 30(2), pages 107-130, June.
    2. Frankel, Jeffrey A & Rose, Andrew K, 1998. "The Endogeneity of the Optimum Currency Area Criteria," Economic Journal, Royal Economic Society, vol. 108(449), pages 1009-1025, July.
    3. Brunnschweiler, Christa N. & Bulte, Erwin H., 2008. "The resource curse revisited and revised: A tale of paradoxes and red herrings," Journal of Environmental Economics and Management, Elsevier, vol. 55(3), pages 248-264, May.
    4. Egert, Balazs, 2005. "Equilibrium exchange rates in South Eastern Europe, Russia, Ukraine and Turkey: Healthy or (Dutch) diseased?," Economic Systems, Elsevier, vol. 29(2), pages 205-241, June.
    5. Thorvaldur Gylfason & Gylfi Zoega, 2006. "Natural Resources and Economic Growth: The Role of Investment," The World Economy, Wiley Blackwell, vol. 29(8), pages 1091-1115, August.
    6. Menzie Chinn, 2006. "A Primer on Real Effective Exchange Rates: Determinants, Overvaluation, Trade Flows and Competitive Devaluation," Open Economies Review, Springer, vol. 17(1), pages 115-143, January.
    7. Kirill Sosunov & Oleg Zamulin, 2007. "Monetary Policy in an Economy Sick with Dutch Disease," Working Papers w0101, New Economic School (NES).
    8. Balazs Egert & Carol Leonard, 2008. "Dutch Disease Scare in Kazakhstan: Is it real?," Open Economies Review, Springer, vol. 19(2), pages 147-165, April.
    9. Roland Beck & Annette Kamps & Elitza Mileva, 2007. "Long-term growth prospects for the Russian economy," Occasional Paper Series 58, European Central Bank.
    10. Jeffrey D. Sachs & Andrew M. Warner, 1995. "Natural Resource Abundance and Economic Growth," NBER Working Papers 5398, National Bureau of Economic Research, Inc.
    11. Brunnschweiler, Christa N., 2008. "Cursing the Blessings? Natural Resource Abundance, Institutions, and Economic Growth," World Development, Elsevier, vol. 36(3), pages 399-419, March.
    12. Benigno, Gianluca & Benigno, Pierpaolo, 2006. "Designing targeting rules for international monetary policy cooperation," Journal of Monetary Economics, Elsevier, vol. 53(3), pages 473-506, April.
    13. Chudik, Alexander & Pesaran, M. Hashem, 2011. "Infinite-dimensional VARs and factor models," Journal of Econometrics, Elsevier, vol. 163(1), pages 4-22, July.
    14. Xavier Sala-i-Martin & Arvind Subramanian, 2013. "Addressing the Natural Resource Curse: An Illustration from Nigeria," Journal of African Economies, Centre for the Study of African Economies, vol. 22(4), pages 570-615, August.
    15. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    16. Bruno Merlevede & Koen Schoors & Bas van Aarle, 2004. "Russia from Bust to Boom: Oil, Politics or the Ruble?," William Davidson Institute Working Papers Series 2004-722, William Davidson Institute at the University of Michigan.
    17. repec:zbw:bofitp:2005_003 is not listed on IDEAS
    18. Irina Tochitskaya, 2010. "The Customs Union between Belarus, Kazakhstan and Russia: and Overview of Economic Implicaitons for Belarus," CASE Network Studies and Analyses 405, CASE-Center for Social and Economic Research.
    19. Jordi Galí & Tommaso Monacelli, 2005. "Monetary Policy and Exchange Rate Volatility in a Small Open Economy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 707-734.
    20. Gylfason, Thorvaldur, 2001. "Natural resources, education, and economic development," European Economic Review, Elsevier, vol. 45(4-6), pages 847-859, May.
    21. Korhonen, Iikka & Ledyaeva, Svetlana, 2010. "Trade linkages and macroeconomic effects of the price of oil," Energy Economics, Elsevier, vol. 32(4), pages 848-856, July.
    22. Kutan, Ali M. & Wyzan, Michael L., 2005. "Explaining the real exchange rate in Kazakhstan, 1996-2003: Is Kazakhstan vulnerable to the Dutch disease?," Economic Systems, Elsevier, vol. 29(2), pages 242-255, June.
    23. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, September.
    24. Victor Polterovich, Vladimir Popov, Alexander Tonis, 2010. "Resource abundance: A curse or blessing?," Working Papers 93, United Nations, Department of Economics and Social Affairs.
    25. Tobias Kronenberg, 2004. "The curse of natural resources in the transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 399-426, September.
    26. Tilak Abeysinghe & Kristin Forbes, 2005. "Trade Linkages and Output‐Multiplier Effects: a Structural VAR Approach with a Focus on Asia," Review of International Economics, Wiley Blackwell, vol. 13(2), pages 356-375, May.
    27. Mico Loretan, 2005. "Indexes of the foreign exchange value of the dollar," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), vol. 91(Win), pages 1-8.
    28. Chernookiy Valery, 2005. "Adjustment to the Asymmetric Shocks and Currency Unions: the Case of Belarus and Russia," EERC Working Paper Series 05-07e, EERC Research Network, Russia and CIS.
    29. Michael Alexeev & Robert Conrad, 2009. "The Elusive Curse of Oil," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 586-598, August.
    30. Abeysinghe, Tilak, 2001. "Estimation of direct and indirect impact of oil price on growth," Economics Letters, Elsevier, vol. 73(2), pages 147-153, November.
    31. repec:zbw:bofitp:2007_007 is not listed on IDEAS
    32. Thorvaldur Gylfason, 2006. "Natural Resources and Economic Growth: From Dependence to Diversification," Springer Books, in: Harry G. Broadman & Tiiu Paas & Paul J.J. Welfens (ed.), Economic Liberalization and Integration Policy, pages 201-231, Springer.
    33. Charemza, Wojciech & Makarova, Svetlana & Prytula, Yaroslav & Raskina, Julia & Vymyatnina, Yulia, 2009. "A small forward-looking inter-country model (Belarus, Russia and Ukraine)," Economic Modelling, Elsevier, vol. 26(6), pages 1172-1183, November.
    34. Rudiger Ahrend & Donato de Rosa & William Tompson, 2007. "Russian Manufacturing and the Threat of ‘Dutch Disease': A Comparison of Competitiveness Developments in Russian and Ukrainian Industry," OECD Economics Department Working Papers 540, OECD Publishing.
    35. Kuralbayeva, Karlygash & Kutan, Ali M. & Wyzan, Michael L., 2001. "Is Kazakhstan vulnerable to the Dutch disease?," ZEI Working Papers B 29-2001, University of Bonn, ZEI - Center for European Integration Studies.
    36. Beck, Roland & Kamps, Annette & Mileva, Elitza, 2007. "Long-term growth prospects for the Russian economy," Occasional Paper Series 58, European Central Bank.
    37. Ms. Katerina Kalcheva & Nienke Oomes, 2007. "Diagnosing Dutch Disease: Does Russia Have the Symptoms?," IMF Working Papers 2007/102, International Monetary Fund.
    38. Stephan Barisitz & Simon-Erik Ollus, 2007. "The Russian Nonfuel Sector: Signs of the Dutch Disease? Evidence from EU-25 Import Competition," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 150-166.
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    Keywords

    Russia; Kazakhstan; Belarus; Macroeconometric modeling; Trade and regional integration;
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