IDEAS home Printed from https://ideas.repec.org/a/ags/pdcbeh/285136.html
   My bibliography  Save this article

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

Author

Listed:
  • Phiiri, Andrew

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.

Suggested Citation

  • Phiiri, Andrew, 2018. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 14(1), January.
  • Handle: RePEc:ags:pdcbeh:285136
    DOI: 10.22004/ag.econ.285136
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/285136/files/Phiri%201.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.285136?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Research Methods/ Statistical Methods;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pdcbeh:285136. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/pradecz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.