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Comparison of the Efficiency of Pure and of Hybrid Inflation Targeting from the Point of View of Inflation Control

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  • I. D. Medvedev

    (Institute of Economic Forecasting, Russian Academy of Sciences)

Abstract

— The article compares the effectiveness of various monetary policy regimes in terms of controlling inflation. It is shown that the hybrid inflation targeting regime, which combines the management of inflation as the main goal and the exchange rate as an additional one, makes it possible to simultaneously reduce the volatility of both inflation and the exchange rate. Thus, it is preferable to the pure inflation targeting regime in order to ensure the stability of the financial conditions for the development of the economy. Hypothesis testing was carried out by modeling the joint dynamics of inflation, exchange rate, and oil price volatilities in the VAR model. Volatility estimates were obtained using EGARCH models on monthly data for the period 1980–2021, for oil prices, 1992–2021, for the consumer price index, and 1995–2021 for the exchange rate.

Suggested Citation

  • I. D. Medvedev, 2023. "Comparison of the Efficiency of Pure and of Hybrid Inflation Targeting from the Point of View of Inflation Control," Studies on Russian Economic Development, Springer, vol. 34(2), pages 274-283, April.
  • Handle: RePEc:spr:sorede:v:34:y:2023:i:2:d:10.1134_s1075700723020089
    DOI: 10.1134/S1075700723020089
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    References listed on IDEAS

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    1. Svensson, Lars E. O., 1999. "Inflation targeting as a monetary policy rule," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 607-654, June.
    2. Pourroy, Marc, 2012. "Does exchange rate control improve inflation targeting in emerging economies?," Economics Letters, Elsevier, vol. 116(3), pages 448-450.
    3. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    4. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    5. Stilianos Fountas & Menelaos Karanasos & Jinki Kim, 2006. "Inflation Uncertainty, Output Growth Uncertainty and Macroeconomic Performance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 319-343, June.
    6. Ben S. Bernanke & Frederic S. Mishkin, 1997. "Inflation Targeting: A New Framework for Monetary Policy?," Journal of Economic Perspectives, American Economic Association, vol. 11(2), pages 97-116, Spring.
    7. John B. Taylor, 2019. "Inflation targeting in high inflation emerging economies: lessons about rules and instruments," Journal of Applied Economics, Taylor & Francis Journals, vol. 22(1), pages 103-116, January.
    8. Pourroy, Marc, 2012. "Does exchange rate control improve inflation targeting in emerging economies?," Economics Letters, Elsevier, vol. 116(3), pages 448-450.
    9. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    11. S. Moiseev., 2017. "The odyssey of inflation targeting: To new challenges of monetary policy," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 10.
    12. Antonakakis, Nikolaos & Christou, Christina & Gil-Alana, Luis A. & Gupta, Rangan, 2021. "Inflation-targeting and inflation volatility: International evidence from the cosine-squared cepstrum," International Economics, Elsevier, vol. 167(C), pages 29-38.
    13. Syed Kumail Abbas Rizvi & Bushra Naqvi & Christian Bordes & Nawazish Mirza, 2014. "Inflation volatility: an Asian perspective," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 27(1), pages 280-303, January.
    14. Ewing, Bradley T. & Malik, Farooq, 2017. "Modelling asymmetric volatility in oil prices under structural breaks," Energy Economics, Elsevier, vol. 63(C), pages 227-233.
    15. Ph. S. Kartaev & Yu. I. Yakimova., 2018. "The influence of inflation targeting on the pass-through effect of the exchange rate," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 11.
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