Context:
India is preparing to roll out a new Consumer Price Index (CPI) series aimed at enhancing the accuracy and responsiveness of inflation measurement, by widening the coverage of goods/services and updating the base year.
Key Highlights:
Broader and Granular Representation
- The new CPI series will:
- Expand the basket of goods and services to reflect evolving consumption patterns.
- Correct under-representation of services, which currently distorts inflation signals.
- Capture regional variations, offering granular insights into rural vs urban inflation and inter-state price divergences.
Methodological Overhaul
- Proposed upgrades include:
- Enlarged sample size for greater statistical reliability.
- Technology-based data collection, including use of AI and eCommerce platforms.
- Better weight allocation techniques to avoid bias in the absence of micro-level data.
Integration of AI in Price Measurement
- AI enables:
- Real-time, low-cost, and high-frequency data harvesting.
- Tracking price pressure build-ups and evaluating the impact of trade policies.
- Modelling of price rigidity and transmission lag, aiding better macroeconomic policy design.
Significance
- A more representative CPI will:
- Improve the accuracy of monetary policy (especially inflation targeting).
- Enable quicker responses to price shocks.
- Help in diagnosing supply-side bottlenecks effectively.
- AI-led modelling offers a paradigm shift in the way CPI and inflation dynamics are tracked, potentially placing India at the forefront of data-driven economic governance.
