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Measuring the effects of inflation and inflation uncertainty on output growth in the central and eastern European countries

Author

Listed:
  • Dejan Živkov

    (Novi Sad Business School, University of Novi Sad, Novi Sad, Serbia)

  • Jelena Kovačević

    (‘LEMIT’ Company, Novi Sad, Serbia)

  • Nataša Papić-Blagojević

    (Novi Sad Business School, University of Novi Sad, Novi Sad, Serbia)

Abstract

This paper investigates how inflation and its uncertainty impact GDP growth in eight Central and Eastern European Countries. Inflation uncertainty series are created examining several GARCH models in combination with three different distribution functions, while the nonlinear effect of inflation and its uncertainty on GDP growth is assessed in the Bayesian quantile regression framework. We find that inflation has significantly smaller negative effect on GDP growth than inflation uncertainty, which confirms the Friedman hypothesis. This means that inflation in the selected countries has an indirect impact on GDP growth via inflation uncertainty. We find that countries with smaller economy, such as Latvia and Estonia experience more adverse effect from inflation uncertainty in both upturn and downturn conditions, probably because they are vulnerable to external inflationary shocks. As for the countries with bigger economy, inflation uncertainty shocks diminish GDP growth only in conditions when output growth is very low or negative.

Suggested Citation

  • Dejan Živkov & Jelena Kovačević & Nataša Papić-Blagojević, 2020. "Measuring the effects of inflation and inflation uncertainty on output growth in the central and eastern European countries," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 20(2), pages 218-242.
  • Handle: RePEc:bic:journl:v:20:y:2020:i:2:p:218-242
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    File URL: https://www.tandfonline.com/doi/pdf/10.1080/1406099X.2020.1846877?needAccess=true
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    References listed on IDEAS

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    1. Filip Hruza & Stanislav Volcík & Jan Žácek, 2019. "The Impact of EU Funds on Regional Economic Growth of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(1), pages 76-94, February.
    2. W. K. Li & T. K. Mak, 1994. "On The Squared Residual Autocorrelations In Non‐Linear Time Series With Conditional Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(6), pages 627-636, November.
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    Cited by:

    1. Acheampong, Alex O. & Dzator, Janet & Dzator, Michael & Salim, Ruhul, 2022. "Unveiling the effect of transport infrastructure and technological innovation on economic growth, energy consumption and CO2 emissions," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    2. Mandeya Shelton M.T & Ho Sin-Yu, 2022. "Inflation, Inflation Uncertainty and the Economic Growth Nexus: A Review of the Literature," Folia Oeconomica Stetinensia, Sciendo, vol. 22(1), pages 172-190, June.
    3. George Kosgei Kiptum, 2022. "Relationship between Kenya’s economic growth and inflation," SN Business & Economics, Springer, vol. 2(12), pages 1-16, December.

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    More about this item

    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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