‘Surprised by furore over GDP; methods, data already public’

Why in the News

The Ministry of Statistics and Programme Implementation (MoSPI) has defended the new Gross Domestic Product (GDP) series against charges of overestimation and of undisclosed methodology. Its stated position is that the downward revision of earlier years reflects better data rather than a systematic bias. The defence answers criticism that followed the release of first quarter 2026-27 GDP data, which put growth at 7.8 per cent, well above what most economists had anticipated. A former Finance Secretary argued that this print was possible only because the year-ago GDP data had been reduced, and that real growth was close to zero. The contest is over what a base revision is allowed to imply: whether lowering past output is better measurement or an admission that the old series had flattered growth.

What is the new GDP series?

1. A base revision of the national accounts: The series replaces the earlier 2011-12 based estimates, which had themselves replaced the 2004-05 series. It was released in February 2026.
2. Built on a wider evidence base: The new series rests on a wider set of indicators and surveys than its predecessors, which is the ministry’s ground for calling it the best so far.
3. Direct measurement of the informal sector: The old series estimated informal sector output through proxies. The new series uses direct, empirical annual surveys instead.

Where did the dispute begin?

1. An unexpected growth print: GDP data for the first quarter of 2026-27 showed growth of 7.8 per cent, and the ministry’s own reading is that this higher-than-expected number is what provoked the criticism.
2. A challenge to the nominal numbers: A former Finance Secretary held that nominal GDP growth in April-June should have been 2.6 per cent and not 10.3 per cent, with real growth close to zero. Those figures were arrived at by comparing data from the old and the new GDP series.
3. A data adequacy charge: A former Chief Economic Adviser held that the ministry lacks good and timely data on the informal economy.
4. The timing is itself contested: The series has been in the public domain since February 2026, and the ministry’s position is that a controversy arriving six months later is surprising.

What is the ministry’s defence?

1. Estimation is not overestimation: The stated position is that calling the old numbers overestimates implies a systematic bias. GDP is an estimation made on the best data available at the time, and each successive series improves on the indicators the previous one used.
2. Cross-series comparison is unwarranted: The ministry holds that any comparison between the old series and the new series is unwarranted, since the two rest on different indicator sets.
3. The revision traces to one change: The primary reason for the downward revision in nominal GDP of previous years is the shift from proxy-based estimates for the informal sector to direct annual surveys.
4. Survey figures, not proxies: Figures from the Annual Survey of Unincorporated Sector Enterprises (ASUSE, an annual enterprise survey covering informal, non-corporate businesses) and the Periodic Labour Force Survey (PLFS) are used even for quarterly GDP estimates.

Which new data sources underpin the series?

1. Sources that did not exist at the last revision: The Goods and Services Tax (GST) network, PLFS, ASUSE and the Public Financial Management System (PFMS) were unavailable when the earlier series was framed.
2. Administrative digital data: Digital records such as e-Vahan, the national vehicle registration database, are now part of the input set.
3. The gain is unlikely to repeat: The last ten years produced numerous new data sources, and the ministry’s assessment is that the next base revision, roughly five years away, will not see a comparable expansion.

Has the methodology already been published?

1. Three technical reports in February: Sub-committees of the Advisory Committee on National Accounts Statistics released reports on ‘Methodological Improvement for the Base Revision of GDP’, ‘Constant Price Estimates’, and ‘Incorporation of New Data Sources, Rates and Ratios’.
2. Supporting series through the year: The new Index of Industrial Production (IIP) series was released in May, and output Producer Price Index (PPI) data starting 2022-23 was made public in June.
3. The awaited document adds nothing new: The ministry’s position is that the ‘Sources and Methods’ document will only be a compilation of material already disclosed.

Why is rapid growth said not to be felt on the ground?

1. GDP is one indicator among several: Other factors, uncertainties and the global situation shape how an individual experiences the economy, so a single aggregate cannot settle the question.
2. Aggregation hides dispersion: How a household sees prices differs from prices aggregated across the country and across regions, in the same way that felt inflation diverges from the measured rate.
3. High-frequency indicators are offered as corroboration: Monthly consumption and production indicators for steel, cement, electricity and automobiles are cited as independent evidence of the pace of activity.

Conclusion

The argument is not really about arithmetic; it is about what a statistical revision is permitted to signal. A revision that lowers past output can be read as sharper measurement or as evidence that the earlier picture was inflated, and no amount of technical documentation adjudicates between those two readings. What would adjudicate is a published back-series placing old and new estimates on a consistent basis, so users can compare periods without splicing two incompatible sets themselves. Until that exists, every quarterly print will be argued twice, once on the number and once on the series it came from.

Matching Previous Year Question

“[2021, GS3, 10.0 marks] Explain the difference between computing methodology of India’s Gross Domestic Product(GDP) before the year 2015 and after the year 2015.”