Why in the news?

• The International Monetary Fund (IMF) has assigned India a ‘C’ grade for its national accounts statistics.
• The low grading highlights critical gaps in India’s data collection, analysis, and reporting framework.
• This assessment emphasizes the urgency for India to update and improve its statistical infrastructure to ensure accurate economic monitoring and policymaking.

Background

• India maintains national accounts statistics to track key macroeconomic indicators such as GDP, GVA, investment levels, and consumer spending.
• These accounts are crucial for policy decisions, economic planning, and international credibility.
• Despite improvements, India faces persistent challenges due to outdated data methodologies and incomplete coverage of the informal sector.

Key Issues Highlighted by IMF

1. Outdated Base Years

• India’s national accounts, Index of Industrial Production (IIP), and Consumer Price Index (CPI) are based on 2011–12 as the reference year.
• Outdated base years affect:
  • Accurate measurement of economic growth.
  • Proper assessment of price movements in CPI.
  • Effectiveness of RBI’s monetary policy.

2. Impact on Policy

• Poor data quality hampers effective policymaking.
• A ‘C’ grade indicates that India is in the same league as China in terms of national accounts data issues — a concerning position.
• Accurate data is critical for:
  • Sector-specific interventions.
  • Export and consumption analysis.
  • Tracking investment trends.

3. Incomplete Coverage of Informal Sector

• Informal sector is largely unregistered and cash-based, making it difficult to quantify.
• Current statistics may not reflect the real size and contribution of the informal economy.
• Improved estimates would:
  • Better capture population livelihood patterns.
  • Offer insights into economic resilience and growth potential.

Steps Taken by the Government

Updating Base Years and Methodologies

• The government is revising base years and methodologies for:
  • National accounts.
  • CPI.
  • IIP.
• New statistical series expected in early 2026.
• Aim: Improve accuracy, reliability, and comparability of economic data.

Integration of Sectoral Data

• MCA-21 database now used to capture corporate sector data, replacing Annual Survey of Industries.
• Proposal to include GST data in GDP estimation:
  • Will improve coverage of formal sector.
  • Strengthens reliability of growth estimates.

Implications of Data Deficiencies

Aspect	Implication
GDP/GVA estimates	May not reflect real economic growth due to outdated base and incomplete sector coverage.
CPI	Cannot accurately track inflation, especially food inflation due to outdated weights.
Monetary policy	RBI’s policy decisions may be less effective if based on inaccurate inflation or growth data.
Policy interventions	Sector-specific and targeted interventions may be misguided without reliable data.
International credibility	Low IMF grading signals need for better data to global investors and institutions.

Way Forward

• Prioritize accurate estimation of informal sector.
• Ensure frequent updates of base years and weights in statistical indices.
• Integrate administrative data (GST, MCA-21) into national accounts.
• Encourage technology-driven data collection and real-time monitoring.
• Continuous capacity building for statistical agencies.

Conclusion

• IMF’s grading serves as a wake-up call for India to modernize its statistical systems.
• Accurate, timely, and comprehensive national accounts are crucial for:
  • Robust policymaking.
  • Economic planning.
  • International credibility.
• Government reforms in updating methodologies and integrating new data sources are steps in the right direction, but effective implementation is key.

Source: ​Data deficiencies: On India and the IMF’s low grading – The Hindu

UPSC CSE PYQ

Year	Question
2021	Explain the difference between computing methodology of India’s Gross Domestic Product (GDP) before the year 2015 and after the year 2015.