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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
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    References listed on IDEAS

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    1. Scott Roger, 1998. "Core inflation: concepts, uses and measurement," Reserve Bank of New Zealand Discussion Paper Series G98/9, Reserve Bank of New Zealand.
    2. Hasan Bakhshi & Tony Yates, 1999. "To trim or not to trim? An application of a trimmmed mean inflation estimator to the United Kingdom," Bank of England working papers 97, Bank of England.
    3. Dowd, Kevin & Cotter, John & Loh, Lixia, 2011. "U.S. Core Inflation: A Wavelet Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 15(4), pages 513-536, September.
    4. repec:zbw:bofrdp:2010_006 is not listed on IDEAS
    5. Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 69-102.
    6. Freeman, Donald G., 1998. "Do core inflation measures help forecast inflation?," Economics Letters, Elsevier, vol. 58(2), pages 143-147, February.
    7. Quah, Danny & Vahey, Shaun P, 1995. "Measuring Core Inflation?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1130-1144, September.
    8. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    9. Javed Iqbal & Muhammad Nadim Hanif, 2017. "Performance Comparison of Modified HP Filter, Wavelet Analysis and Empirical Mode Decomposition for Smoothing Macroeconomic Time Series," SBP Working Paper Series 87, State Bank of Pakistan, Research Department.
    10. Stephen G Cecchetti & Richhild Moessner, 2008. "Commodity prices and inflation dynamics," BIS Quarterly Review, Bank for International Settlements, December.
    11. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 205-228.
    12. Cashin, Paul & McDermott, C. John & Scott, Alasdair, 2002. "Booms and slumps in world commodity prices," Journal of Development Economics, Elsevier, vol. 69(1), pages 277-296, October.
    13. Mehmet Dalkir, 2004. "A new approach to causality in the frequency domain," Economics Bulletin, AccessEcon, vol. 3(44), pages 1-14.
    14. Robalo Marques, Carlos & Duarte Neves, Pedro & Morais Sarmento, Luis, 2003. "Evaluating core inflation indicators," Economic Modelling, Elsevier, vol. 20(4), pages 765-775, July.
    15. Yogo, Motohiro, 2008. "Measuring business cycles: A wavelet analysis of economic time series," Economics Letters, Elsevier, vol. 100(2), pages 208-212, August.
    16. Riaz Riazuddin & Muhammad Amin Khan Lodhi & Muhammad Ashfaq & Behzad Ali Ahmad, 2013. "A New Measure of Core Inflation in Pakistan," SBP Working Paper Series 66, State Bank of Pakistan, Research Department.
    17. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 53, European Central Bank.
    18. Parkin, Michael, 1984. "On core inflation by Otto Eckstein : A review essay," Journal of Monetary Economics, Elsevier, vol. 14(2), pages 251-264, September.
    19. Sadia Tahir, 2003. "Core Inflation Measures for Pakistan," SBP Working Paper Series 04, State Bank of Pakistan, Research Department.
    20. Scott Roger, 1998. "Core Inflation: Concepts, Uses and Measurement," Occasional Papers, South East Asian Central Banks (SEACEN) Research and Training Centre, number occ24.
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    Cited by:

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    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

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