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

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  • Andrew Phiri

Abstract

Using the 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.

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  • Andrew Phiri, 2018. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 97-104, January.
    • Handle: RePEc:pdc:jrnbeh:v:14:y:2018:i:1:p:97-104
    DOI: 10.15208/beh.2018.8
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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
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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