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Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach

Author

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  • Andrew Phiri

    (Department of Economics, Nelson Mandela University)

Abstract
Using the recently-introduced quantile autoregression methodology (QAR), this study contributes to the ever-expanding empirical literature by investigating the persistence in inflation for BRICS countries using quarterly time series data collected between 1996 to 2016. Our empirical analysis reveals two crucial findings. Firstly, for all estimated regressions, inflation persistence in the higher percentiles of the QAR regression exhibits unit root tendencies. Secondly, we note that the global financial crisis did alter the levels of inflation persistence at all quantiles for all BRICS countries. Collectively, we advise monetary authorities in BRICS countries to focus on keeping inflation at low and stable rates.

Suggested Citation

  • Andrew Phiri, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Working Papers 1702, Department of Economics, Nelson Mandela University, revised Jul 2017.
    • Handle: RePEc:mnd:wpaper:1702
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    References listed on IDEAS

    as
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    Cited by:

    1. Yadavindu Ajit & Taniya Ghosh, 2024. "A Historical perspective on India's inflation persistence: A Quantile analysis," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-015, Indira Gandhi Institute of Development Research, Mumbai, India.

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    More about this item

    Keywords

    BRICS; Emerging economies; Inflation persistence; Quantile regression.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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