Forecasting Core Inflation in India: A Four-Step Approach

Rishabh Choudhary, Chetan Ghate and Md Arbaj Meman
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Md Arbaj Meman: Institute of Economic Growth, Delhi

No 461, IEG Working Papers from Institute of Economic Growth

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.

Pages: 37 pages
Date: 2023
New Economics Papers: this item is included in nep-ger and nep-mon
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Published as Institute of Economic Growth, Delhi, 2023, pages 1-37

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Persistent link: https://EconPapers.repec.org/RePEc:awe:wpaper:461

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