Issues in GDP Computation

UPSC Syllabus: Gs Paper 3- Indian Economy

Introduction

India’s 7.8% real GDP growth in Q1FY27 has renewed debate over the reliability of official GDP estimates. The concern arises from the downward revision of the historical base, gaps in measuring the informal economy, and changes in the methodology used to calculate real growth. The unusually low 2.5% GDP deflator has added to these concerns. The absence of a consistent back-cast series has further raised questions about the comparability and credibility of India’s growth estimates. Issues in GDP Computation.

Current Situation: Revision of GDP Estimates

1. Shift in Base Year: India’s GDP series has shifted from the 2011-12 base to the 2022-23 base, changing estimates of past economic activity.
2. Downward Revision of GDP: The new series lowered nominal GDP estimates by 3.3 percentage points compared with the earlier series during FY23-FY26, reducing estimates by about ₹42 trillion overall.
3. Broad-Based Revision: The downward revision affected household consumption, government spending and capital formation, covering major domestic demand components.
4. Successive Quarterly Revisions: Q1FY26 nominal GDP was revised downward at every release, from ₹82.7 trillion in November 2025 to ₹80 trillion in August 2026.
5. Effect on Current Growth: With Q1FY27 GDP at ₹88.3 trillion, using the original higher Q1FY26 base would have produced 6.7% nominal and 4.2% real growth, instead of 10.3% and 7.8%.
6. Scale of Revision: Q1FY26 alone saw a cumulative downward revision of ₹2.7 trillion, showing that estimates continued to change even within the new GDP series.

Why Was the GDP Series Changed?

1. Outdated Informal-Sector Measurement: The earlier 2011-12 series relied on static ratios extrapolated from formal-sector growth and workforce data collected during 2010-12.
2. Long Gap in Informal-Sector Surveys: Survey-based tracking of the informal economy stopped after 2012-13, leaving its subsequent changes insufficiently captured in GDP estimates.
3. Major Disruptions Not Captured: The older series could not adequately measure the informal sector’s response to demonetisation, GST disruptions, global protectionism and the pandemic.
4. Introduction of New Survey Data: The 2022-23 series incorporated Annual Survey of Unincorporated Sector Enterprises (ASUSE) and other surveys that had resumed after long gaps, providing newer information on unincorporated economic activity.
5. Employment Data Gap: The Employment-Unemployment Survey ended after 2011-12, while the Periodic Labour Force Survey (PLFS) began in 2017-18, creating a significant gap in labour-market information.
6. Consumption Data Gap: The Household Consumption Expenditure Survey stopped in 2017-18 and resumed in 2022-23, when it showed a sharp deceleration in real household spending.

Why Are Critics Questioning the New Estimates?

1. Adoption of Double Deflation: The new GDP series uses double deflation, which requires granular price information across industries and output categories that has not been fully disclosed.
2. Low GDP Deflator: The Q1FY27 implied GDP deflator was only 2.5%, despite Consumer Price Index (CPI) inflation near 4% and WPI/PPI inflation above 9%.
3. Alternative Deflator Estimate: Using earlier average weights of 46% for CPI and 54% for Wholesale Price Index (WPI) gives an estimated GDP deflator of about 6.9%, much higher than the reported 2.5%.
4. Manufacturing Deflator Mismatch: The reported -1.5% manufacturing deflator contrasts with 7.3% average manufacturing WPI inflation, creating doubts about the assumptions used.
5. Manufacturing Cost Pressure: Data from more than 1,700 companies showed 25.6% sales growth against a 40% rise in raw-material costs, while nominal value addition declined by 4.5%.
6. Concern Over Cost Pass-Through: MoSPI’s (Ministry of Statistics and Programme Implementation) negative manufacturing deflator relies on assumptions about cost pass-through, while company-level results show substantial cost pressure.
7. Consumption Deflator Concern: Private consumption growth implies a 2.8% deflator, while Reserve Bank of India (RBI) surveys indicate lived urban inflation near 8.5% and worsening sentiment on jobs, income and living costs.
8. Limited Methodological Transparency: Double deflation requires granular price data, but the underlying price information, calculations and assumptions have not been fully disclosed.

Impact of the Changes on Growth Assessment

1. Lower Growth Under Alternative Deflation: Using a 6% deflator instead of 2.5% would reduce Q1FY27 real GDP growth to around 3.9–4.3%, well below the reported 7.8%.
2. Uncertain Ten-Year Growth Picture: No back-cast data exists under the 2022-23 base for years before that base year, making long-term growth comparisons methodologically uncertain.
3. Uncertain Initial Estimates: Persistent downward revisions raise questions about whether high-frequency indicators adequately capture the wider economy when initial GDP estimates are prepared.
4. Macroeconomic Assessment: Uncertain GDP estimates complicate assessment of nominal growth, public debt, tax elasticity, youth employment, trade deficit, external borrowing, foreign investment and balance-of-payments pressure.
5. Policy Assessment: If GDP data does not accurately reflect economic conditions, policymakers may face difficulty in assessing the true pace of economic expansion and responding to underlying weaknesses.

Way Forward

1. Publish a Back-Cast Series: The National Statistical Office (NSO) should provide a consistent historical GDP series linking the old and new bases to enable reliable long-term comparisons.
2. Improve Deflator Transparency: The underlying price indices, weights, assumptions and calculations used to derive GDP deflators should be clearly disclosed.
3. Ensure Regular Surveys: Surveys covering the informal sector, employment, household consumption and enterprises should be conducted regularly to avoid long data gaps.
4. Improve Initial GDP Estimates: Initial GDP estimates should use data that better reflect wider economic activity, so that subsequent revisions are smaller and more reliable.
5. Explain Revisions Clearly: Methodological changes and revisions should be clearly explained so that users can understand why GDP estimates change across releases.
6. Improve Statistical Coverage: Regular and representative data collection should ensure that GDP estimates capture changes across both the formal and informal sectors.

Conclusion

India’s GDP debate is ultimately about the reliability, transparency and comparability of economic data, rather than one quarterly figure. The new series addresses important gaps in the older system, but base revisions, deflator concerns and missing back-cast data leave the growth trajectory uncertain. Regular surveys, transparent methodology and consistent historical estimates are essential for accurately assessing growth and supporting sound policymaking.

Question for practice:

Examine the major issues in India’s GDP computation and their impact on the credibility of growth estimates.

Source: Businessline