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Inflation Targeting and Economic Growth in Developed and Developing Countries: Evaluation of the Policy Effectiveness Using CS-ARDL Approach

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  • Victoria P. Litvinets

Abstract

High inflation is one of the destabilizing factors for macroeconomic situation in a country since it decreases household income and enhances production costs. Some researchers note that rising prices lead to a decline in economic growth, therefore the monetary policy of the central banks in the world implements inflation targeting policy to achieve consistently low inflation. Despite the fact that a number of countries uses this policy regime, the scientific community continues debates about the effectiveness of the inflation targeting. In particular, it is still not obvious whether inflation targeting policies promote economic growth in the countries implementing them or, on the contrary, lead to economic slowdown. The purpose of the study is to assess the impact of the inflation targeting regime implementation on the economic growth in developed and developing countries and estimate the effectiveness of such policies. The hypothesis of the study assumes that the inflation targeting policy stimulates economic growth, however, its effectiveness is greater for developing countries than for developed ones. For econometric modeling, we use time-series panel data for 63 countries ranged 1980–2021. Given the length of the period and cross-sectional dependency, we apply the Cross-Section Augmented Auto-regressive Distributed Lags (CS-ARDL) approach. The results of the study demonstrate a positive impact of inflation targeting on economic growth. Moreover, we document that implementation of this policy spurs economic growth in the developing countries, while no such effect is observed for developed economies. The study fills the gap in the existing literature on the inflation targeting effectiveness analysis and points the need for choosing different instruments to address inflation in developed countries. The practical significance of the study lies in the fact that the results obtained confirm the effectiveness of inflation targeting for developing countries and its absence for developed countries.

Suggested Citation

  • Victoria P. Litvinets, 2023. "Inflation Targeting and Economic Growth in Developed and Developing Countries: Evaluation of the Policy Effectiveness Using CS-ARDL Approach," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 22(4), pages 814-833.
  • Handle: RePEc:aiy:jnjaer:v:22:y:2023:i:4:p:814-833
    DOI: https://doi.org/10.15826/vestnik.2023.22.4.033
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    as
    1. Chudik, Alexander & Pesaran, M. Hashem, 2015. "Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors," Journal of Econometrics, Elsevier, vol. 188(2), pages 393-420.
    2. Eliane Araujo & Philip Arestis, 2019. "Lessons from the 20 Years of the Brazilian Inflation Targeting Regime," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 66(1), pages 1-23.
    3. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    4. Brito, Ricardo D. & Bystedt, Brianne, 2010. "Inflation targeting in emerging economies: Panel evidence," Journal of Development Economics, Elsevier, vol. 91(2), pages 198-210, March.
    5. Arsić, Milojko & Mladenović, Zorica & Nojković, Aleksandra, 2022. "Macroeconomic performance of inflation targeting in European and Asian emerging economies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 675-700.
    6. A. Kudrin & E. Goryunov & P. Trunin., 2017. "Stimulative monetary policy: Myths and reality," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 5.
    7. A. Kudrin & E. Goryunov & P. Trunin, 2017. "Stimulative monetary policy: Myths and reality," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 5.
    8. de Guimarães e Souza, Gustavo José & de Mendonça, Helder Ferreira & de Andrade, Joaquim Pinto, 2016. "Inflation targeting on output growth: A pulse dummy analysis of dynamic macroeconomic panel data," Economic Systems, Elsevier, vol. 40(1), pages 145-169.
    9. Abo-Zaid, Salem & Tuzemen, Didem, 2012. "Inflation Targeting: A three-decade perspective," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 621-645.
    10. Olfa Manai Daboussi, 2016. "Enhanced Economic Stability and the Role of Inflation Targeting Policy: Empirical Study on Case of Developing Countries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(6), pages 352-362, June.
    11. Fratzscher, Marcel & Grosse-Steffen, Christoph & Rieth, Malte, 2020. "Inflation targeting as a shock absorber," Journal of International Economics, Elsevier, vol. 123(C).
    12. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    13. Aleksandr V. Charkin, 2011. "Inflation Targeting: a Theoretical Basis," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 103-110, January.
    14. V. V. Arkhipova & S. A. Nikitina, 2020. "Central Bank Responsibility Area taking Russian Example: Exchange Rate as the Financial Stability Indicator," Outlines of global transformations: politics, economics, law, Center for Crisis Society Studies, vol. 13(6).
    15. Boris A. Zamaraev & Anna M. Kiyutsevskaya, 2019. "Inflation targeting in the world economy and in Russia," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 6.
    16. Mishra, Akanksha & Dubey, Amlendu, 2022. "Inflation targeting and its spillover effects on financial stability in emerging market economies," Journal of Policy Modeling, Elsevier, vol. 44(6), pages 1198-1218.
    17. Oleg S. Sukharev, 2020. "Inflation control and adequacy of targeting to economic growth policy," Upravlenets, Ural State University of Economics, vol. 11(1), pages 33-44, March.
    18. Polina S. Kuklinova & Vladimir V. Ilyashenko, 2022. "The impact of the inflation-targeting regime on the economic development of an industrial region," Journal of New Economy, Ural State University of Economics, vol. 23(2), pages 125-141, July.
    19. Philipp Kartaev & Irina Luneva, 2018. "Shaken, not Stirred: Comparing the Effectiveness of Pure and Hybrid Inflation Targeting," Russian Journal of Money and Finance, Bank of Russia, vol. 77(3), pages 65-75, September.
    20. Michael I. Zhemkov, 2019. "Regional effects of inflation targeting in Russia: Factors of heterogeneity and structural inflation rates," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 9.
    21. Olfa Manai Daboussi, 2016. "Enhanced Economic Stability and the Role of Inflation Targeting Policy: Empirical Study on Case of Developing Countries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(6), pages 352-362.
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    More about this item

    Keywords

    monetary policy; inflation; inflation targeting; economic growth; CS-ARDL.;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies

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