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Forecasting Core Inflation in India: A Four-Step Approach

Author

Listed:
  • Rishabh Choudhary
  • Chetan Ghate

  • Md Arbaj Meman

    (Institute of Economic Growth, Delhi)

Abstract

We propose a novel approach to forecasting core inflation in India, whose average contribution to headline inflation has been about 55 percent since January 2016. Our approach involves using the dis-aggregated components of core inflation, as well as the construction of a demand index using high frequency (HF) indicators. We find that individually forecasting and then aggregating core CPI components improves the short-term forecasting accuracy of core inflation. However, forecasting aggregate core inflation directly is more effective for longer horizons. We estimate a demand index using high frequency indicators. We find that the inclusion of the demand index and other co-variates enhances forecasting efficacy by capturing demand-side factors specific to the Indian economy. We also find that an accurate specification of the dis-aggregate components model contributes to maximizing prediction accuracy.

Suggested Citation

  • Rishabh Choudhary & Chetan Ghate & Md Arbaj Meman, 2023. "Forecasting Core Inflation in India: A Four-Step Approach," IEG Working Papers 461, Institute of Economic Growth.
    • Handle: RePEc:awe:wpaper:461
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    References listed on IDEAS

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