Subject: National Income Accounting(GDP)

Why in the News

The Chairman of the Economic Advisory Council to the Prime Minister and the Secretary, Ministry of Statistics and Programme Implementation have defended the 7.8 per cent real Gross Domestic Product (GDP) growth estimate for the first quarter of 2026-27. They argue that the estimate is corroborated by high frequency indicators across investment, consumption, credit and goods movement. The defence answers academic scepticism about the reliability of India’s national accounts methodology, raised after the first quarter release. The specific charge concerns the GDP deflator, the price index used to convert output measured at current prices into output measured at constant prices. Manufacturing recorded a negative implicit deflator for Gross Value Added (GVA), meaning the accounts imply falling prices in a sector at a time when consumer prices are rising. The dispute is therefore not about the growth rate. It is about whether the price correction behind that rate can be read at all.

How does double deflation work?

1. Single deflation, the discontinued method: Nominal Gross Value Added was divided by a single output price index to arrive at real Gross Value Added.
2. Double deflation, the current method: Output and intermediate consumption are deflated separately, each by its own price index.
3. The residual: Real Gross Value Added is then taken as the difference between real output and real intermediate consumption.
4. Why it is the accepted practice: Input prices and output prices move differently, so deflating each by its own prices is the global standard in national accounting.

What do the high frequency indicators show about the first quarter expansion?

1. Freight and business demand: Commercial vehicle sales grew 18.3 per cent, as firms expanded fleets in anticipation of higher demand.
2. The investment cycle: Capital goods production grew 15.2 per cent. Machinery and equipment imports grew 51.5 per cent.
3. Construction inputs: Cement production, finished steel consumption and infrastructure and construction goods all expanded strongly in the quarter.
4. Goods movement and tax collection: Electronic way bill generation stayed in double digit growth. Gross Goods and Services Tax collections rose 8.4 per cent despite substantial rate rationalisation.
5. Consumption: Household vehicle registrations and three wheeler registrations point to firming discretionary demand.
6. Credit: Non-food bank credit grew 18.3 per cent year on year at end June, up from 15.9 per cent in March, with growth across agriculture, industry and services.

Why did the GDP deflator become hard to read?

1. The price database changed: The revised National Accounts moved from the Wholesale Price Index (WPI) to the new Output Producer Price Index (PPI), which measures prices received by producers at the factory gate rather than prices struck in wholesale markets.
2. The deflation method changed: The February 2026 revision discontinued single deflation. It adopted double deflation wherever feasible and volume based extrapolation otherwise.
3. The two changes landed together: Simultaneous change in method and in price database made recent movements in the deflator less readily interpretable.
4. The index switch itself was minor: Revisions arising from the move from WPI to PPI were relatively small, which supports the position that WPI had introduced no material anomaly. The two indices are conceptually close.
5. The deflator is not a single index: Constant price GVA is built using over 300 producer prices and price indices across a disaggregated set of inputs and outputs, not from a headline price index.

Why can a negative implicit manufacturing GVA deflator be statistically sound?

1. The arithmetic: Nominal GVA growth falls below real GVA growth when input prices rise faster than output prices. The implicit deflator then turns negative even though input and output prices are both rising.
2. What happened in the quarter: Higher raw material inflation relative to output inflation lowered the GVA deflator. Weak price growth in some services widened the gap from headline consumer and wholesale inflation.
3. The leverage inside manufacturing: Intermediate consumption is roughly 81 per cent of manufacturing output, leaving 19 per cent as GVA. A small divergence between input and output prices therefore produces a disproportionate movement in real GVA.
4. The domestic precedent: 2024-25 recorded the same outcome, with input price inflation exceeding output price inflation.
5. Not unique to India: Advanced economies using double deflation have encountered similar outcomes.

What is the appropriate comparison for manufacturing activity?

1. The mismatch in the criticism: Commentaries have set manufacturing Index of Industrial Production (IIP) growth, a volume index of factory output, against real manufacturing GVA growth.
2. The correct counterpart: A volume index should be compared with manufacturing Gross Value of Output at constant prices, which is also a measure of output rather than of value added.
3. What the correct comparison shows: Real Gross Value of Output averaged 6.7 per cent growth over 2023-24 and 2024-25, against 6.6 per cent for IIP.
4. When the loose comparison still holds: Comparing manufacturing IIP with manufacturing GVA yields defensible short term results only where input and output prices move together.
5. A separate reading of the same ratio: The ratio of intermediate consumption to Gross Value of Output at constant prices has been declining gradually, which indicates improving efficiency in the use of inputs.

What is contested about the synthetic comparison country study?

1. The method: A recent study builds a comparison country by combining economies whose performance moved closely with India’s before 2014. It uses that historical co-movement to estimate how India’s per capita GDP might have evolved after 2014.
2. The objection: The study treats its estimated performance gap as a lower bound on the assumption that Indian growth is overstated, without demonstrating the methodological flaw it assumes.
3. The stated position on scrutiny: Specific, focused and actionable scrutiny of the GDP methodology is welcomed. Inferences drawn by quoting aggregate and disparate numbers together are rejected.

Challenges to the revised GDP deflation framework

1. The deflators cannot be independently reproduced: The disaggregated producer price series that enter the constant price estimates are not published for outside users, so an external researcher cannot rebuild the sectoral deflators. Eg. Delays in the national accounts Sources and Methods publication have repeatedly held up independent verification of official estimates.
   The Fix: Release the sectoral deflators used, along with the underlying producer price series, alongside each quarterly estimate.
2. Services deflation remains the weakest link: India has no producer price index covering the range of services, so services output is deflated using consumer price components and dedicated indices. Eg. Financial, real estate and professional services drove roughly 45 per cent of services value added growth in 2024-25, and their prices are proxied rather than directly observed.
   The Fix: Extend the producer price framework to services, starting with the sub-sectors that contribute most to value added.
3. The unincorporated sector is estimated rather than observed within the quarter: Quarterly manufacturing estimates for small unregistered enterprises rest on survey benchmarks carried forward by indicators. Eg. The Annual Survey of Unincorporated Sector Enterprises replaced proxy indicators for this segment only with the 2022-23 base year series.
   The Fix: Publish the unincorporated enterprises survey on a fixed calendar and use it to benchmark each year’s quarterly manufacturing estimates.
4. A base revision breaks comparability across the join: The series was rebased from 2011-12 to 2022-23, so growth rates on either side of the break are not directly comparable. Eg. Construction of a back series after the previous rebasing became a prolonged dispute over pre-2011 growth rates.
   The Fix: Publish a fully reconciled back series at the same sectoral detail as the new series with every base revision.
5. Confidence rests on the standing of the producing body: A statistical estimate is accepted on the credibility of the institution that releases it, and that credibility has been contested. Eg. Two members resigned from the National Statistical Commission in 2019 over the withholding of survey results.
   The Fix: Give the National Statistical Commission a statutory basis, as an independent statistical commission was recommended in 2001.

Conclusion

The argument between the statistical system and its critics is not about whether the economy grew. It is about whether an outside user can see inside the price correction that turns nominal output into real output. A revision that changed the price database and the deflation method in the same round has raised the burden of explanation on the agency, not lowered it. The marker to watch is whether the producer price series used inside the estimates are released as a public series, and whether the methodology volume for the revised base year appears alongside the next annual release rather than after it.

What is national income accounting?

1. About: National income accounting is the set of methods used to measure economic activity for an economy as a whole, yielding aggregates such as GDP, Gross National Product and National Income.
2. Rationale: It supplies the aggregates that fiscal and monetary policy design, welfare planning, sectoral resource allocation and cross country comparison all rest on.
3. The three methods it rests on:
4. Income method: sums factor incomes, meaning rent, wages, interest, profit, mixed income and net income from abroad.
5. Expenditure method: totals final spending on consumption, investment, government spending and net exports.
6. Production method: sums value added at each stage across agriculture, industry and services.
7. Why the production method matters here: India’s quarterly estimates are built up as sectoral value added, so every sector needs a price deflator of its own.

Key Concerns Regarding National Income Accounting

1. Separating final from intermediate goods: Value added can be double counted where the same good is both an input and a final product. Eg. Flour bought by a bakery is an input, while flour bought by a household is a final good.
2. Undisclosed income: Parallel transactions kept off records are not captured, which understates measured output.
3. Environmental blind spot: Resource extraction is counted as income while the depletion of natural capital is not deducted.
4. Non-monetised and non-market activity: Subsistence farming, barter, volunteer work and the care economy go uncounted, understating true output.

Key Facts about National Income Accounting

1. New base year: The GDP base was revised from 2011-12 to 2022-23, with the new series released on 27 February 2026.
2. Companion rebasing: The Consumer Price Index base was updated to 2024 and the Index of Industrial Production base to 2022-23 alongside the GDP revision.
3. New data sources: Goods and Services Tax returns, the Public Financial Management System, e-Vahan vehicle registration data and the unincorporated enterprise and labour force surveys replaced earlier proxy indicators.
4. International alignment: The series follows the System of National Accounts 2008, with transition to the 2025 standard planned by 2029-30.

[2019, GS3, 10 marks] Do you agree with the view that steady GDP growth and low inflation have left the Indian economy in good shape? Give reasons in support of your arguments.

Why in the News

The Ministry of Statistics and Programme Implementation (MoSPI) has released output data for the first quarter of 2026-27, showing gross domestic product (GDP) growth of 7.8 per cent in real terms and 10.3 per cent in nominal terms. A former Finance Secretary alleged that the corresponding quarter of the previous year had been revised down to produce a flattering comparison, and computed nominal growth of only 2.6 per cent. That computation takes its numerator from the new 2022-23 base year series and its denominator from the discontinued 2011-12 series.

What does a base year revision do?

1. The base year anchors the price comparison: A base year is the reference year whose prices are used to strip inflation out of output, so that real growth measures volume rather than price change.
2. Revision is routine and was overdue: Every economy revises its base year, normally once in about five years. The absence of a revision was itself a reason India’s GDP was losing credibility.
3. It is an opportunity to rebuild the estimate: A revision lets the government bring in new data sources, improve methodology and capture an economy that has changed since the last base.
4. It changes real GDP measurement first: Nominal GDP is measured at current prices, so a change of base year does not by itself explain a fall in the nominal series.

What did the first quarter data show?

1. Growth beat the expectation set at the start of the quarter: Most economists expected about 7.5 per cent for April to June. The official figure came in at 7.8 per cent in real terms.
2. The quarter opened in the middle of a war: The West Asia conflict was disrupting output across the world, and India’s heavy dependence on West Asian energy imports was expected to slow growth further.
3. The world did not contract either: The International Monetary Fund (IMF) expects world growth of 3.0 per cent in 2026 against 2.9 per cent in the previous year, so an economy withstanding the shock is not by itself anomalous.

Why is the 2.6 per cent claim invalid?

1. The rollback happened before the war, not after the result: The new series was unveiled on 27 February 2026, one day before the United States went to war with Iran. Nominal GDP for the first quarter of 2025-26 was rolled down that day from Rs 86.1 trillion on the old series to Rs 80.3 trillion on the new one.
2. Later revisions were marginal: The same quarter was estimated at Rs 80.4 trillion in June and Rs 80.0 trillion on 31 August, against Rs 88.3 trillion for the first quarter of 2026-27.
3. The sequence rules out reverse engineering: The base was rolled down six months before the current quarter’s number existed, so the previous year’s figure was not cut to flatter it.
4. The same method produces an absurd result on real GDP: Applied to the real series, mixing the old denominator with the new numerator implies growth of almost 70 per cent in the quarter.

What question does the revision genuinely leave open?

1. The first half of 2025-26 lost about Rs 11 lakh crore: Nominal GDP for the first two quarters fell from Rs 171.30 lakh crore on the old series to roughly Rs 160 lakh crore on the new one, a cut of about 6.5 per cent concentrated in those two quarters.
2. There is nothing left to reconcile against: The old series was discontinued before comparable third and fourth quarter estimates for 2025-26 were published, so no complete old series year exists to match quarter by quarter.
3. The demand is for a reconciliation bridge: The revision should be broken down in rupees into revised source data, changed sectoral coverage, methodological changes, revised taxes and subsidies, and changed price indices and deflators, for GVA as well as for GDP.
4. The long run picture is comparable: Nominal GDP rose about 32.8 per cent under the old series and 32.3 per cent under the new one over 2022-23 to 2025-26, and cumulative real growth is broadly similar.
5. A downward revision is not lost output: The economy did not shrink by Rs 11 lakh crore. Better data can move a historical estimate down.
6. The annual number moved too: Nominal GDP for 2025-26 was revised from Rs 357 trillion on the old series to Rs 345 trillion on the new one.

Challenges to India’s national income estimation

1. Informality is estimated rather than counted: A large share of output comes from unregistered units that no annual return captures, so their contribution is inferred from proxies. Eg. The unincorporated sector is covered by a sample survey, and its output after the 2020 lockdown was derived from indicators rather than enumerated.
   The Fix: Link the enterprise surveys to Goods and Services Tax and Udyam registration data to build a live frame for small units.
2. Deflators historically overstated value addition: Single deflation applies one price index to output without separately deflating inputs, so a squeeze on firms’ margins is recorded as extra production. Eg. Manufacturing GVA in the 2011-12 series was criticised for a decade on exactly this ground.
   The Fix: The 2022-23 series abolished single deflation, and producer price indices published from June 2026 must now be extended to services.
3. No back series accompanies the new base: Users cannot compare the new estimates with earlier decades without a consistent recomputed history. Eg. The back series produced for the 2011-12 base was itself contested and withdrawn from circulation.
   The Fix: Publish a full recomputed back series alongside the new base rather than after a lag.
4. Credibility is contested politically rather than statistically: Each release is judged as a verdict on the government instead of as an estimate with a stated method, which crowds out technical scrutiny. Eg. The IMF has previously raised issues with India’s national income estimates.
   The Fix: Restore a fixed publication calendar for the National Statistical Commission’s own review reports, so scrutiny is institutional rather than episodic.

Conclusion

The methodological point is settled and the credibility point is not. A series can be more accurate than the one it replaced and still be harder to interrogate, because the comparison the public used to make has been withdrawn. Confidence in official statistics is built by letting an independent reader reproduce the numbers, not by asserting that the method was correct. The larger unresolved problem sits behind the estimate: output is growing fast and is not generating enough good quality jobs, which is how a demographic dividend turns into a demographic burden.

[2021, GS3, 10 marks] Explain the difference between computing methodology of India’s Gross Domestic Product(GDP) before the year 2015 and after the year 2015.”