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Measuring Core Inflation in India


  • Das, Abhiman

    () (Reserve Bank of India, Mumbai, India)

  • John, Joice

    (Reserve Bank of India, Mumbai, India)

  • Singh, Sanjay

    (Reserve Bank of India, Mumbai, India)


The inflation, which is, calculated as year-on-year percent change in general price level, is a combined effect of several types of price changes. The monetary authority tries to track that part of inflation, which can be effectively monitored and controlled using various monetary instruments. This persistent component of inflation is termed as ‘Core Inflation’, which comprises long-run properties as well as predictive power of future inflation. In this paper, 12 different measures of core inflation making use of 8 different methodologies viz. Exclusion basis, Mean-SD, Median, Trimmed Mean, Historical Standard Deviation, Hodrick-Prescott Filter, Wavelet Filter and Structural Vector AutoRegression (SVAR) are presented. Moreover, this paper has outlined 9 approaches for judging the preferred measure(s) based on different properties of core inflation.

Suggested Citation

  • Das, Abhiman & John, Joice & Singh, Sanjay, 2009. "Measuring Core Inflation in India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 44(2), pages 247-273.
  • Handle: RePEc:dse:indecr:0007

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    Cited by:

    1. repec:taf:oaefxx:v:3:y:2015:i:1:p:1014252 is not listed on IDEAS
    2. Joice John & Abhiman Das & Sanjay Singh, 2016. "An Application of Quah and Vahey’s SVAR Methodology for Estimating Core Inflation in India: A Note," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 151-158, June.

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    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation


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