IDEAS home Printed from https://ideas.repec.org/p/sbp/wpaper/102.html
   My bibliography  Save this paper

Denoised Inflation: A New Measure of Core Inflation

Author

Listed:
  • Muhammad Nadim Hanif

    (State Bank of Pakistan)

  • Javed Iqbal

    (State Bank of Pakistan)

  • Syed Hamza Ali

    (State Bank of Pakistan)

  • Muhammad Abdus Salam

    (State Bank of Pakistan)

Abstract

Existing measures of core inflation ignore a part of ‘should be’ the core inflation. Exclusion based measures ‘exclude’ a part of persistent inflation inherently existing in the excluded part whereas filter based measures ‘filter-out’ the cyclical part also rather than the irregular component only. This study proposes a new idea to define and measure core inflation – noise free inflation or denoised inflation. As against considering only trend to define core inflation, this study proposes using cyclical component also to be part of core inflation. If core inflation is to be useful, for monetary policy making, as an indicator of underlying inflation, it has to include demand related component of inflation associated with current economic cycle. By using wavelet analysis approach to decompose seasonally adjusted price index into noise, cyclical component and trend, we estimate a denoised inflation series for Pakistan for the period July 1992 to June 2017. Since denoised inflation passes ‘statistical’ as well as ‘theoretical’ tests necessary for a series to be core inflation, we think it can be used as a new core inflation measure for Pakistan. This can also be estimated and tested for any country.

Suggested Citation

  • Muhammad Nadim Hanif & Javed Iqbal & Syed Hamza Ali & Muhammad Abdus Salam, 2019. "Denoised Inflation: A New Measure of Core Inflation," SBP Working Paper Series 102, State Bank of Pakistan, Research Department.
  • Handle: RePEc:sbp:wpaper:102
    as

    Download full text from publisher

    File URL: http://www.sbp.org.pk/publications/wpapers/2018/wp102.pdf
    File Function: First version, 2018
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Estimation of Cyclical Component; Inflation; Monetary Policy;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sbp:wpaper:102. 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: Faisal Saleem (email available below). General contact details of provider: https://edirc.repec.org/data/sbpgvpk.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.