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Time-Varying Impact of Commodity Prices on Output Growth and Inflation in the Eastern European Countries

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  • Roman Kopych

    (Department of International Economic Relations, Lviv University of Trade and Economics, 10 Tuhan-Baranovskoho Str., 79-005 Lviv, Ukraine)

  • Viktor Shevchuk

    (Council of Social Studies, Cracow University of Technology, 24 Warszawska Str., 31-155 Cracow, Poland)

Abstract

Using quarterly data for the 2002–2022 period, we estimate the output and inflation effects of several commodity prices (agricultural raw materials, crude oil, and metals) for 8 Eastern European countries with different exchange rate regimes. The Kalman filter is used for estimating the time-varying parameters. Our main findings can be summarized in the following way: (i) higher crude oil prices are inflationary in most of the countries (except Slovakia), with a stronger price effect since 2020; (ii) crude oil prices are neutral with respect to output growth in 4 out of 8 countries, with an expansionary effect in Croatia, Slovenia, and Romania, as well as a contractionary effect in Slovakia, but the crude oil shock of 2021–2022 seems to be expansionary in almost all countries (except Slovakia), regardless of the exchange rate regime practiced; (iii) inflation and output effects of metals prices are quite heterogeneous across countries; (iv) agricultural raw material prices play a role in both inflation and output growth only in Bulgaria and Poland. Since 2021, a growing inflationary impact of crude oil prices suggests a stronger monetary policy reaction to the oil shock, especially in the presence of its favorable output effect.

Suggested Citation

  • Roman Kopych & Viktor Shevchuk, 2023. "Time-Varying Impact of Commodity Prices on Output Growth and Inflation in the Eastern European Countries," Commodities, MDPI, vol. 3(1), pages 1-17, December.
    • Handle: RePEc:gam:jcommo:v:3:y:2023:i:1:p:2-35:d:1303628
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    References listed on IDEAS

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    1. Beckerman, Wilfred & Jenkinson, Tim, 1986. "What Stopped the Inflation? Unemployment of Commodity Prices?," Economic Journal, Royal Economic Society, vol. 96(381), pages 39-54, March.
    2. Yu HSING, 2016. "Is real depreciation expansionary? The case of the Czech Republic," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(608), A), pages 93-100, Autumn.
    3. Collier, Paul & Goderis, Benedikt, 2012. "Commodity prices and growth: An empirical investigation," European Economic Review, Elsevier, vol. 56(6), pages 1241-1260.
    4. Narayan, Paresh Kumar & Sharma, Susan & Poon, Wai Ching & Westerlund, Joakim, 2014. "Do oil prices predict economic growth? New global evidence," Energy Economics, Elsevier, vol. 41(C), pages 137-146.
    5. Ýstemi Berk & Ý. Hakan Yetkiner, 2013. "Energy Prices and Economic Growth: Theory and Evidence in the Long Run," Working Papers 1303, Izmir University of Economics.
    6. Diewart, W Erwin & Morrison, Catherine J, 1986. "Adjusting Output and Productivity Indexes for Changes in the Terms of Trade," Economic Journal, Royal Economic Society, vol. 96(383), pages 659-679, September.
    7. Jimborean, Ramona, 2013. "The exchange rate pass-through in the new EU member states," Economic Systems, Elsevier, vol. 37(2), pages 302-329.
    8. Kang, Wenjin & Tang, Ke & Wang, Ningli, 2023. "Financialization of commodity markets ten years later," Journal of Commodity Markets, Elsevier, vol. 30(C).
    9. Pradhan, Rudra P. & Arvin, Mak B. & Ghoshray, Atanu, 2015. "The dynamics of economic growth, oil prices, stock market depth, and other macroeconomic variables: Evidence from the G-20 countries," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 84-95.
    10. Luis Eduardo Arango Thomas & Ximena Chavarro & Eliana González, 2015. "Commodity Price Shocks and Inflation within an Optimal Monetary Policy Framwork: the case of Colombia," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(2), pages 203-249, July-Dece.
    11. Fernando Avalos & Wenqian Huang, 2022. "Commodity markets: shocks and spillovers," BIS Quarterly Review, Bank for International Settlements, September.
    12. Boris Hofmann & Taejin Park & Albert Pierres Tejada, 2023. "Commodity prices, the dollar and stagflation risk," BIS Quarterly Review, Bank for International Settlements, March.
    13. Yu HSING, 2016. "Is real depreciation expansionary? The case of the Czech Republic," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(608), A), pages 93-100, Autumn.
    14. Yu Hsing, 2016. "Is Real Depreciation Expansionary? The Case of Ireland," Bulletin of Applied Economics, Risk Market Journals, vol. 3(1), pages 1-9.
    15. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    16. Jones, Charles M & Kaul, Gautam, 1996. "Oil and the Stock Markets," Journal of Finance, American Finance Association, vol. 51(2), pages 463-491, June.
    17. Elisabeth Beckmann & Jarko Fidrmuc, 2013. "Exchange Rate Pass-Through in CIS Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(4), pages 705-720, December.
    18. HSING, Yu, 2016. "Is Real Depreciation Expansionary? The Case Of The Slovak Republic," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(2), pages 55-62.
    19. Fructuoso Borrallo & Lucía Cuadro-Sáez & Javier J. Pérez, 2022. "Rising food commodity pricesand their pass-through to euro area consumer prices," Economic Bulletin, Banco de España, issue 3/2022.
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