Fuzzy Numbers: What India’s Latest GDP Figures Reveal About Data Transparency

The recent release of FAQs by the Centre regarding the methodology behind India’s latest GDP estimates has sparked a necessary debate about data transparency in economic policymaking. The opposition had raised questions over the credibility of the 7.8% growth recorded in the April-June quarter, and it is heartening to see the government taking steps to clarify their calculations.

The use of double deflation in calculating real GDP has been a contentious issue. This method involves deflating both output and intermediate consumption separately to arrive at a more accurate estimate of real value added. However, this can sometimes result in a negative implicit deflator, as seen in the manufacturing sector’s 1.5% GVA deflator despite rising output and input prices.

The government explains that this phenomenon does not necessarily mean that manufacturing prices have declined, but rather that input prices are rising faster than output prices. This nuance highlights the complexities involved in economic data analysis. GDP growth rates can be influenced by various factors beyond policymakers’ control, including global commodity price fluctuations.

Last year’s revised GDP estimate also warrants attention. Critics accused the government of revising down last year’s numbers to make this year’s growth rate appear higher. However, according to the FAQs, the revision is a result of successive updates to the data series, including changes in base years and methodologies.

The contrast between GDP deflator, CPI, and WPI inflation rates also deserves scrutiny. The ministry’s explanation that the three measures have different coverage and purposes is well-taken, but it does little to alleviate concerns about data transparency. Why should we accept a 2.5% implied GDP inflation rate when consumer prices are rising at 3.9%, and wholesale prices are above 9%? This disparity highlights the limitations of economic indicators in capturing real-world economic activity.

The government could improve by providing more context for these revisions. For instance, the FAQ on the revision in Q1 2025-26 GDP mentions successive updates to the data series but fails to explain why these revisions were necessary. This lack of transparency can erode trust in economic policymakers and undermine public confidence in their decision-making.

The government’s commitment to releasing FAQs is a positive step towards increasing transparency around economic data. However, more needs to be done to reassure citizens that they are getting an accurate picture of the economy. Policymakers must prioritize data integrity and ensure that these revisions are guided by a clear understanding of their implications for policymakers and citizens alike.

The recent controversy over India’s GDP figures serves as a reminder of the need for ongoing transparency in economic policymaking. While the government has taken steps to clarify their methodology, more needs to be done to build trust with citizens and stakeholders. By engaging with critics and providing clear explanations for these revisions, policymakers can restore public confidence in the accuracy and integrity of economic data.