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Inflation volatility: A Bayesian approach

Author

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  • Koirala, Niraj P.
  • Nyiwul, Linus

Abstract

The ongoing trend of high inflation across much of the world has reignited interest in inflation volatility with varying foci and methods. In this paper, we employ a Bayesian framework to estimate inflation volatility using a sample of G20 countries. Estimation results suggest persistent heterogeneity in price volatility across time and countries. Furthermore, we use the Bayesian estimates of volatility to conduct several empirical analyses on the implications of interdependence of economies, development status for uncertainty. Further analyses on the determinants of price volatility suggest that trade openness, COVID-19, and the Ukraine crisis have positive impacts on volatility. Additionally, the nature of the political institutions and the share of manufacturing in total national output are also found to affect volatility to some extent.

Suggested Citation

  • Koirala, Niraj P. & Nyiwul, Linus, 2023. "Inflation volatility: A Bayesian approach," Research in Economics, Elsevier, vol. 77(1), pages 185-201.
    • Handle: RePEc:eee:reecon:v:77:y:2023:i:1:p:185-201
    DOI: 10.1016/j.rie.2023.01.003
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    References listed on IDEAS

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    More about this item

    Keywords

    Inflation volatility; Bayesian; G20; Covid-19; Ukraine invasion; Panel data;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination

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