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Subject: National Income Accounting(GDP)

  • Life of buildings to gold: Lesser known changes in GDP series

    Why in the News

    The new Gross Domestic Product (GDP) series splits a mixed firm’s output by activity rather than by major activity, and assumes dwellings last 60 to 75 years, not 70 to 80. Both are among five lesser known changes in the Ministry of Statistics and Programme Implementation (MoSPI)‘s ‘Sources and Methods’.

    What is the new GDP series, and what has dominated the debate?

    1. What it is: A GDP series measures output against a base year, whose prices and structure act as a fixed yardstick. The new series moves the base from 2011-12 to 2022-23.
    2. Why the base is updated: An old base misses how the economy has changed, leaving newer sectors and data sources out or wrongly weighted.
    3. The five headline changes: Most debate has covered:
      • the updated base year;
      • double deflation, which adjusts both output and inputs for price changes to get real gross value added (GVA);
      • two price indices for that deflation, the output Producer Price Index and the Banking Services Price Index, tracking prices producers and banks charge;
      • better informal sector estimates from surveys;
      • no gap between GDP measured by production and GDP measured by spending.
    4. The takeaway: The quieter changes decide what counts as output and savings, so they shape the numbers as much as the headline ones.

    How is a multi-activity enterprise now classified?

    1. Old rule, major activity: A firm doing both manufacturing and services was placed wholly in the sector of its major activity.
    2. New rule, activity share: GVA is now split by activity. Eg. Of a firm’s Rs 50 GVA, Rs 20 earned from services now goes to services.
    3. Data that makes it possible: Companies file annual returns, forms MGT-7 (public and private companies) and MGT-7A (one person and small companies), with the Ministry of Corporate Affairs. These report results, shareholding and loans.

    What else is now counted or measured differently?

    1. Government housing: Housing given to government staff was not valued before, unlike House Rent Allowance paid in cash. It is now valued at building cost, less repair, maintenance and annual wear.
    2. Useful life of buildings: Dwellings are now assumed to last 60 to 75 years, down from 70 to 80, so they wear out faster each year.
    3. Household financial savings: Data on shares, debentures and mutual funds now come from the Securities and Exchange Board of India (SEBI), not the Reserve Bank of India.
    4. Physical savings: Household savings also include physical assets and valuables such as gold.
    5. Rooftop solar: Power households generate from their own rooftop panels is now counted in the utilities sub-sector. Its real GVA was Rs 1.92 lakh crore in April to June 2026.

    Why do these changes matter?

    1. Truer sector picture: Splitting a firm’s GVA shows the real size of services inside manufacturing companies, which matters for industrial and trade policy.
    2. Higher capital consumption: A shorter asset life raises the yearly wear charged on buildings, so net measures of output and savings fall.
    3. Wider savings coverage: Pooled funds such as Real Estate Investment Trusts and Alternative Investment Funds now enter household savings.
    4. Hidden output recognised: Counting government housing and self generated solar power records services that earlier went unmeasured.

    Challenges

    1. Comparability with the old series: Methods differ from the 2011-12 series, so long run comparisons need a back series, meaning old years recalculated by the new method.
    2. Dependence on company filings: Splitting GVA relies on MGT-7 data, which covers companies and not the unincorporated sector.
    3. Estimation assumptions: Asset lives and imputed values such as government housing rest on assumptions that users cannot easily test.

    Way Forward

    1. Publish a back series: MoSPI should release a linked series so growth before and after 2022-23 can be compared.
    2. Extend activity data: Use enterprise surveys to split activity shares for unincorporated firms as well.
    3. Explain assumptions openly: Publish the basis for asset lives and imputed values so analysts can test them.

    Conclusion

    The new series changes not only the base year but also what the economy is judged to produce, own and save. What to watch is whether MoSPI publishes a back series linking the new figures to a decade of old ones.

    Back2Basics: Back series

    1. What it is: A back series re-estimates GDP for years before the new base year, using the new series’ methods and data.
    2. Why it is needed: Without it, old and new years use different yardsticks, so a change in method can look like a change in growth.
    3. How it is built: Where new data do not reach back, the two series are spliced, scaling old figures by their ratio in a common year.

    Matching Previous Year Question

    “[2019] Consider the following statements: 1.Purchasing Power Parity (PPP) exchange rates are calculated by comparing the prices of the same basket of goods and services in different countries. 2.In terms of PPP dollars, India is the sixth largest economy in the world. Which of the statements given above is/are correct? (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 Answer: (a)”

  • New GDP series: 28 out of 30 mfg categories used double deflation

    Why in the News

    The Ministry of Statistics and Programme Implementation (MoSPI), the ministry that compiles India’s national accounts, has released its Sources and Methods for Compilation of National Accounts Statistics document. It records that the new Gross Domestic Product series applied double deflation in 28 of 30 manufacturing categories. The new series, with 2022-23 as its base year, was released in February, so the methodology document followed seven months later, the shortest turnaround MoSPI has managed. Until this series, double deflation was used only for agriculture and for mining and quarrying, which was among the most cited criticisms of Indian growth data. The tension is that a methodological upgrade making real growth more accurate has arrived alongside a downward revision of nominal output that critics read as flattering the current growth print.

    What is double deflation?

    1. Gross Value Added: The value added by a sector is the value of its output minus the value of the inputs it uses. Measured at current prices, this is nominal Gross Value Added (GVA).
    2. The adjustment: To reach real GVA, the output value and the input value are each adjusted by their own inflation rate. Adjusting the two separately is what makes the method double deflation.
    3. Single deflation, the alternative: Under single deflation both input and output values are adjusted by the same price index, so the method assumes input and output prices move together.

    Why did single deflation distort India’s real growth estimates?

    1. The earlier practice: MoSPI applied double deflation only to agriculture and to mining and quarrying. Every other sector was deflated using a single number drawn from the Wholesale Price Index or the Consumer Price Index.
    2. Where the assumption breaks: Single deflation misstates real growth whenever input prices and output prices change at different rates, which is exactly what happens in a commodity price shock.
    3. The direction of the error: A manufacturer whose input costs fall faster than its selling prices shows an inflated real value added under single deflation, because the saving on inputs is not being deflated separately.
    4. Why this was the standing criticism: India’s growth estimates were repeatedly questioned on this ground, since the country was measuring real manufacturing growth by a method the major statistical systems had already moved past.

    Why do two manufacturing categories remain outside double deflation?

    1. The two exceptions: Double deflation was not applied to production, processing and preservation of meat, fish, fruit, vegetables, oils and fats, and to manufacture of pharmaceutical, medicinal chemicals and botanical products.
    2. The stated reason: In both categories the share of imported inputs is high, which makes it challenging to map input items directly to their item level Producer Price Index.
    3. The status: MoSPI has stated that work is under way so that double deflation can be extended to the remaining two categories as well.

    What does the new series say about the size of India’s informal sector?

    1. Household sector as the proxy: National accounts split output across the household, private and public sectors, and the household share is the working proxy for the informal economy.
    2. The revision: Nominal GVA attributed to households in 2022-23 was reduced by Rs 2.9 lakh crore against the old series, a decline of 2.7 percent.
    3. Construction drove the cut: The household share in construction GVA fell to 59 percent from 79 percent under the old series, which reads as construction being more formal than earlier estimated.
    4. The offsetting movement: Trade and repair services, hotels and restaurants, and road transport are recorded as more informal than the old series estimated, so the revision redistributes informality rather than uniformly reducing it.

    Why does the methodology document matter for confidence in the series?

    1. Speed of release: The document came seven months after the new series. Earlier full documents have taken up to three years after a new series was published, during which the methodology behind a live growth number was not publicly checkable.
    2. What it contains: It sets out the concepts, definitions, data sources, methodologies and compilation practices of the new series. It carries no new data.
    3. Its source material: It consolidates three reports of sub committees of the Advisory Committee on National Accounts Statistics, covering methodological improvement for the base revision, constant price estimates, and the incorporation of new data sources, rates and ratios. Those three were published in February.
    4. The live criticism: The new series has been attacked for revising nominal GDP downward for earlier years, which reduces the measured size of the economy. A lower nominal base for April to June 2025 is read by some as the reason the 7.8 percent real growth print for April to June 2026 looks faster than expected.

    Challenges to double deflation in India’s national accounts

    1. No official Producer Price Index: India deflates using the Wholesale Price Index and the Consumer Price Index, neither of which measures prices received by producers for their own output. Eg. The two categories left out of double deflation were left out precisely because item level producer price mapping was not possible.
      The Fix: Complete the transition to a full Producer Price Index series with item level coverage, so deflation rests on producer prices rather than on wholesale transaction prices.
    2. Imported input prices are not captured: Domestic price indices do not track the cost of imported inputs, so an import intensive sector is deflated by prices it does not actually pay. Eg. Bulk drug intermediates for Indian pharmaceutical manufacturing are largely imported.
      The Fix: Build an import unit value index at the same item level and use it to weight the input deflator for import intensive categories.
    3. Base revisions move the level, not only the method: A revision that improves method and changes the measured size of the economy at the same time makes the two effects impossible for a user to separate. Eg. The Rs 2.9 lakh crore reduction in household GVA for 2022-23 arrived together with the deflation change.
      The Fix: Publish a back series on the new methodology for a decade of prior years, so the level effect and the method effect can be read apart.
    4. Survey frames lag the economy: The household and enterprise surveys that feed value added estimates are conducted at long intervals, so structural shifts are picked up only at a base revision. Eg. The construction sector’s formalisation was recorded only when the base year moved to 2022-23.
      The Fix: Move the enterprise survey to a rolling annual panel so sectoral shares are updated continuously rather than once a decade.
    5. Documentation is not the same as data access: A document setting out sources and methods still leaves external researchers unable to reproduce the estimates without the underlying unit level data. Eg. The document explicitly contains no new data.
      The Fix: Release anonymised unit level datasets for the corporate and enterprise sources on a fixed lag, so the published estimates are independently replicable.

    Conclusion

    India has moved its manufacturing accounts onto the deflation method the criticism had been demanding, and it has published the reasoning faster than it ever has. The upgrade stops short of the import intensive categories, and it still rests on price indices that were never built to measure producer prices. The thing to watch is whether the remaining categories are brought in and whether the Producer Price Index transition is completed, since both decide whether the improvement holds at the next base revision.

    Back2Basics: Producer Price Index

    1. What it measures: A Producer Price Index tracks the change in prices received by domestic producers for their output at the first point of sale, before taxes and trade margins are added.
    2. Difference from the Wholesale Price Index: The Wholesale Price Index tracks transaction prices in wholesale markets and includes imported goods, so the same item can be counted at several stages. A Producer Price Index covers only domestic production and avoids that multiple counting.
    3. Status in India: India officially publishes the Wholesale Price Index and the Consumer Price Index. A shift to a Producer Price Index has been recommended by an official working group and remains under development.

    Matching Previous Year Question

    “[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.”

  • Decoding India’s GDP base revision

    Why in the News

    India’s nominal Gross Domestic Product (GDP) has been revised down by roughly 3 percent across the three years in which the old and new series overlap, under the New GDP Series with base year 2022-23. The Ministry of Statistics and Programme Implementation (MoSPI) set out the methodological improvements and updated data sources behind the revision when it released the series, along with a comparative table giving activity wise revisions and their reasons. The principal driver is a better measurement of India’s unincorporated services sector, which the earlier series estimated by carrying benchmark figures forward on proxy indicators. The contested point is whether a lower headline number means a smaller economy or only a better measured one.

    What is a GDP base year revision?

    1. Base year: It is the reference year whose price structure and economic composition the national accounts are built on, so every later estimate is expressed against that year’s conditions.
    2. What a rebasing changes: It updates the data sources, the coverage and the methods together, so it changes the estimated rupee size of the economy and not merely the growth rate.
    3. Direction is not fixed: International statistical practice recognises that the estimated size of an economy can move up or down after a rebasing, depending on what the new data and methods reveal.
    4. India’s current shift: The base has moved from 2011-12 to 2022-23, with three overlap years across which the two series can be compared directly.

    How large was the revision, and over which years?

    1. Year wise cuts: Nominal GDP was revised down by about 2.7 percent in 2022-23, 3.5 percent in 2023-24 and 3.8 percent in 2024-25.
    2. An independent estimate: The World Bank’s India Development Update of April 2026 put the cut at 3 to 4 percent in each of the four years from FY23, attributing it mainly to a reassessment of the informal economy.
    3. Volatility fell in the new series: The same update found quarterly growth between FY 2023-24 and FY 2025-26 to be less volatile and more broad based than previously estimated.
    4. Size is not activity: A lower estimate does not mean the economy became smaller or slowed in those years, since part of the change is simply a different and better measured starting number.

    Which sectors were revised up, and which down?

    1. Agriculture and allied activities: Revised up by about 3.8 to 5.9 percent.
    2. Financial services, real estate, professional services and ownership of dwellings: Revised up by roughly 7.8 to 9.0 percent over comparable years.
    3. Trade, transport and storage: Revised down by around 23 to 26 percent, the sharpest movement in the exercise.
    4. Trade and road transport in detail: Trade Gross Value Added (GVA), the value an activity adds before product taxes and subsidies, was cut by 36 percent and road transport by 16.9 percent.
    5. Hotels and restaurants: Revised up by 5.7 percent, mainly on the revised estimates for the unincorporated sector.

    Why did the unincorporated sector drive the change?

    1. The old method: In the 2011-12 series the unincorporated sector was estimated by moving benchmark estimates forward with proxy indicators, so the sector’s actual size was never measured afresh between benchmarks.
    2. The new inputs: The new series uses the Annual Survey of Unincorporated Sector Enterprises (ASUSE), which enumerates unregistered non farm enterprises, and the Periodic Labour Force Survey (PLFS), which measures employment and how it is distributed across enterprise types.
    3. Direct measurement: Together these give a direct basis for measuring the sector instead of an extrapolation anchored to an ageing benchmark.
    4. The correction is not uniform: Revisions within the unincorporated sector vary from activity to activity rather than moving in one direction.

    Why did a single year’s revision carry into later years?

    1. How the estimates are built: India’s quarterly and provisional GDP estimates are constructed from the previous year’s quarterly figures.
    2. The updating indicators: Those figures are then updated using information such as Goods and Services Tax collections and industrial production.
    3. The carry forward: Once the 2022-23 estimate was revised under the new methodology, every subsequent annual and quarterly estimate moved down with it as a matter of arithmetic.

    How common is a rebasing revision across other economies?

    1. Nigeria and Indonesia, 2014: Both rebased their national accounts and both saw their previously estimated nominal GDP levels revised.
    2. Brazil, 2015, and South Africa, 2018: Each rebasing likewise produced a revision to the previously estimated level of nominal GDP.
    3. Mexico, 2019, China, 2021, and Spain, 2024: All three changed their previously estimated nominal GDP on rebasing.
    4. India’s own precedent: The earlier shift from base year 2004-05 to 2011-12 also changed the estimated size of the Indian economy.
    5. What the set can bear: These are cited as country and year only, without the methodological detail that would allow a like for like comparison, so they establish that revision on rebasing is routine and nothing further.

    Challenges to the new GDP series

    1. Transparency of sources and methods: Independent verification of the estimates depends on a detailed Sources and Methods publication, which lags the release of the series itself. Eg. The comparative table issued with the new series gives activity wise reasons but not the underlying computation.
      The Fix: Publish the full Sources and Methods volume alongside the series release rather than months after it.
    2. Deflator weakness: Real GDP is deflated largely with the Wholesale Price Index, which does not cover services, so measured real growth in services can be distorted. Eg. India has no full Producer Price Index of the kind most large economies use for deflating output.
      The Fix: Complete the Wholesale Price Index base revision and introduce a Producer Price Index for deflating services output.
    3. Residual extrapolation in the informal economy: ASUSE and PLFS improve coverage, but a portion of informal activity is still estimated rather than enumerated. Eg. Enterprises that operate seasonally or from a dwelling are the hardest to capture in an establishment survey.
      The Fix: Run ASUSE on a fixed annual calendar and publish its enterprise coverage rate, so the extrapolated share is visible to users.
    4. Irregular rebasing intervals: Uneven gaps between base years let the series drift away from the actual structure of the economy between revisions. Eg. The 2011-12 base remained in use for well over a decade, through a period of rapid digitisation and sectoral change.
      The Fix: Institutionalise a base year revision every five years, which is the international practice.
    5. Institutional independence: Confidence in the numbers rests on the statistical system being visibly insulated from the government of the day. Eg. Past resignations from the National Statistical Commission and the withholding of completed survey results drew attention to exactly this.
      The Fix: Give the National Statistical Commission a statutory basis, so decisions on methodology and release are not administrative ones.

    Conclusion

    A statistical system is judged by whether it changes its numbers when better evidence arrives, not by whether the numbers hold still. The unresolved half of this exercise sits on the price side: coverage of output has improved while the indices used to convert output into real terms have not been rebuilt to match. The next marker is whether the promised documentation of sources and methods arrives in a form that lets independent researchers reproduce the estimates rather than only read the reasons for them.

    Back2Basics: National Statistical Commission

    1. Nature: It is the apex advisory body on India’s official statistical system.
    2. Origin: It was set up in 2005 by a government resolution, following the recommendation of the Rangarajan Commission on statistics, and has no statutory backing.
    3. Composition: It has a part time Chairperson, four part time members, the NITI Aayog Chief Executive Officer as an ex officio member, and the Chief Statistician of India as Secretary.
    4. Mandate: It advises on statistical priorities, standards and survey design, and its recommendations are given effect through the Ministry of Statistics and Programme Implementation.

    Matching Previous Year Question

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

  • MoSPI Secy: Nominal GDP revised down as informal sector data has improved

    Why in the News

    The Ministry of Statistics and Programme Implementation (MoSPI) has stated that the downward revision of nominal Gross Domestic Product (GDP) under the new base year series follows a change in how the informal sector is measured, not a correction of an earlier overstatement. The revision runs across every overlapping year of the two series and was driven by the replacement of proxy based estimates with direct annual surveys. The new series moves the base year to 2022-23 from 2011-12 and was released in February. Two separate criticisms have been put to the Ministry, one that the informal economy is still being read off the performance of listed companies, and the other that the price data used for deflation is the wrong kind. The contest is therefore not about the growth rate but about whether the measurement itself can be trusted.

    What changed in the new base year GDP series?

    1. The base moved: The series shifts its base year from 2011-12 to 2022-23, and was released in February.
    2. The estimation method changed with it: The informal sector is now estimated from direct, empirical annual surveys rather than from proxies carried forward from a base year.
    3. The revision is systematic, not a one year correction: Nominal GDP has been revised lower across all overlapping years, meaning 2022-23 to 2024-25 and the subsequent quarters.

    Why did nominal GDP fall in the revised series?

    1. The old series had no regular unorganised sector survey: MoSPI calculated Gross Value Added (GVA), meaning output net of the cost of inputs used up in producing it, for the unorganised sector by multiplying estimated workforce counts by the Value Added per Worker derived from decadal surveys.
    2. Forward projection of the base year figure: The projection used proxies such as formal corporate growth rates, inter survey growth rates and historical tax collections, because no regular data was available.
    3. Survey evidence changed the picture: Annual survey evidence made it possible to capture the distinct growth patterns of the informal sector, which had been running on the formal sector’s growth rate by assumption.
    4. Informal services, the largest single driver: The single largest driver of the revision is the improved measurement of India’s informal services sector.

    How do the new surveys change the measurement?

    1. Two surveys replaced the proxies: The Annual Survey of Unincorporated Sector Enterprises (ASUSE), which enumerates unincorporated non agricultural businesses, and the Periodic Labour Force Survey (PLFS), which measures employment and workforce size, now supply the inputs directly.
    2. Survey frequency: ASUSE is now available on a quarterly basis and PLFS on a monthly basis, so quarterly GDP no longer waits on a survey that ran once every five years.
    3. What is now measured directly: Unorganised sector productivity and workforce size are measured rather than inferred from corporate results.

    What is the Annual Survey of Unincorporated Sector Enterprises?

    1. What an unincorporated enterprise is: A business run as a proprietorship or a partnership rather than as a registered company. Its accounts are never filed with a corporate registry, so its output cannot be read off company results and has to be counted directly.
    2. What ASUSE enumerates: Non agricultural businesses in manufacturing, trade and other services. It covers both establishments that hire workers and own account enterprises run by the proprietor without hired labour.
    3. How the units are reached: The survey draws a sample against an area based frame rather than against a registration list, which is what allows it to reach units that appear on no register.
    4. Why the frequency changes the estimate: Its predecessor ran roughly once in five years, so every intervening year was filled in by projection. A survey running annually and now quarterly supplies measured values for the same periods the national accounts are compiled for.

    Where does the contest over the new series lie?

    1. The listed company charge: A former Chief Economic Adviser has argued that the GDP data does not capture the informal economy properly and extrapolates the performance of listed companies. The Ministry’s stated position is that ASUSE is being used for quarterly GDP and proxies are not.
    2. The proxies were always bounded: Even in the earlier series proxies were used only between the quinquennial surveys, carried forward from previous base years, which is how the overhang continued.
    3. Overestimation is rejected as a framing: The Ministry holds that GDP is an estimation built on the best data available at the time, and that calling the old series an overestimate implies a systematic bias that was not there.
    4. The price data objection: A separate criticism concerns the use of producer price data. The Ministry’s answer is that the method of calculation was shifted to producers in the 2011-12 series of the Wholesale Price Index (WPI) itself, and that data for the past 10 years has been collected from industry.
    5. What separates the two indices: The WPI excludes exports and imports and includes taxes and trade margins to some extent, while a Producer Price Index (PPI) does not, and the Ministry states those corrections have since been made.
    6. The growth is not felt on the ground: The Ministry treats this as a larger question shaped by other factors, uncertainties and the global situation, comparable to how an individual’s experience of prices differs from an inflation rate aggregated across the country.

    What is a Producer Price Index?

    1. Prices received at the factory gate: A Producer Price Index tracks the change in prices received by domestic producers for their own output at the factory gate. It reads the price at the point of production rather than the price at any later point in the chain.
    2. Why the deflator has to match the output: Real output is nominal output divided by a price index, so the index must track the prices of the goods and services being deflated. A mismatch between the output being measured and the prices used to deflate it moves the real growth rate without anything happening in the economy.
    3. The services gap: A wholesale price index is built on goods traded in bulk and carries no services. An economy whose output is majority services therefore has no matching price series for its largest component, which is why the deflator is the contested instrument.

    Challenges to a base year revision of the national accounts

    1. A long gap between base years builds in drift: Holding a base year for more than a decade lets the structure of the economy move away from the weights the series is built on. Eg. The 2011-12 base was carried forward for over a decade on proxies before the present revision replaced it.
      The Fix: Fix a statutory base year revision cycle with a published date, so the revision is a scheduled operation rather than an event that invites suspicion.
    2. A revision breaks the comparable series users rely on: Analysts, ratings and fiscal ratios are all computed on a level that has now moved, and back series construction is where most disputes about Indian GDP have historically landed. Eg. The dispute over the back series of the 2011-12 base ran for years after that series was introduced.
      The Fix: Release a fully documented back series alongside the new base, with the method for each sector stated, rather than issuing the levels first and the method later.
    3. Deflation remains the weakest link: Converting nominal values to real ones requires price indices that match the output being deflated, and India has no full producer price index for services. Eg. Services form the largest share of output and are deflated using indices built for goods.
      The Fix: Complete and publish a services producer price index so that the largest part of output is deflated on prices collected from services producers.
    4. Survey coverage of the informal sector is thin at the edges: An enterprise survey reaches businesses with a recognisable place of operation more easily than it reaches itinerant and home based work. Eg. Home based and own account work is concentrated among women, which is also where labour force measurement is weakest.
      The Fix: Link the enterprise survey to the labour force survey at the household level, so an activity missed as an enterprise is still captured through the worker reporting it.

    Conclusion

    The disagreement now on record is about method rather than about the growth rate, and the Ministry has taken the position that the new series is the best available and that no obvious correction has been put to it for the next one. That claim is testable, since a statistical system is judged on whether its next revision moves the numbers again in the same direction. The marker to watch is the deflator, because the informal sector question has now been answered with direct surveys while the price side has not been given an equivalent instrument.

    Matching Previous Year Question

    “[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.”

  • Double deflation debate over GDP methodology is no ‘great battle’

    Why in the News

    The Vice Chairman of NITI Aayog, the government’s economic think tank, has said there is no winner in the ongoing dispute over the use of double deflation in India’s new gross domestic product (GDP) series, and that the methodology is neither impractical nor particularly difficult to implement. The statement answers concerns raised a week earlier by a former Finance Secretary and a former Chief Statistician over the method used to double deflate GDP under the new series. The tension is that the methodology being questioned is the same one that produces growth rates lower than the series it replaced, which is why the Vice Chairman asked why the scrutiny is arriving only now.

    What is double deflation?

    1. The method: Double deflation removes the effects of inflation at both the producer and the consumer expenditure stages when arriving at the real GDP of an economy.
    2. What it requires in practice: The inputs a producer buys have to be separated from the outputs the producer sells, and each set is deflated by its own price index.
    3. Where it stands internationally: The method is widely used across national statistical systems.

    What has changed in India’s GDP series?

    1. The new base year carries the new method: The Ministry of Statistics and Programme Implementation (MoSPI), the nodal ministry for official statistics, introduced double deflation in the GDP series with 2023-24 as the base year.
    2. The earlier series did not use it: Double deflation was not part of India’s 2011-12 GDP series.
    3. The output looks different: GDP growth rates in the new series, based on 2023-24 prices, are lower than those under the earlier series with 2011-12 as the base year.

    How is the dispute framed?

    1. The government think tank’s position: Deflating the price effects at the producer and the consumer expenditure stages of GDP is not a great battle, and double deflation is not a methodological impossibility.
    2. The practical claim: All that is required is to separate the inputs from the outputs, the method can of course be improved like anything else, and it is a good time to start.
    3. The timing objection: The Vice Chairman asked why the methodology had not come under similar scrutiny when the earlier series was in use, and why the concerns are being raised only now.
    4. What the critics raised: A former Finance Secretary and a former Chief Statistician had, a week earlier, questioned the methodology used to double deflate GDP under the new series.

    Challenges to measuring real GDP under double deflation

    1. India lacks a full producer side price index: Deflating inputs correctly requires a producer price index, and the wholesale price index that stands in for it covers goods alone. Eg. Services account for over half of gross value added but have no wholesale price index representation.
      The Fix: Complete and release a producer price index covering services, as recommended by the working group set up to design one.
    2. Informal output is estimated rather than measured: A large share of value added comes from unincorporated enterprises whose input costs are inferred from survey benchmarks rather than observed. Eg. The unincorporated sector enterprise survey is conducted at multi year intervals, so intervening years are interpolated.
      The Fix: Move the unincorporated enterprise survey to an annual cycle so input cost ratios are updated each year rather than carried forward.
    3. The method amplifies error in volatile quarters: Subtracting one deflated series from another magnifies any mismatch between the two price indices used. Eg. A sharp swing in crude prices moves input costs long before it moves output prices in refining and petrochemicals.
      The Fix: Publish the input and output deflators alongside the headline estimate so the source of any swing is visible to users.
    4. A base year change breaks comparability: Growth rates computed on a new base and a new method cannot be read directly against the old series. Eg. The shift to the 2011-12 series produced a comparable dispute over back series estimates.
      The Fix: Release a full back series on the new base and method, so the change in level is separated from the change in growth.

    Conclusion

    The dispute is about measurement, not about performance, and both sides accept that removing inflation twice is the internationally accepted way to compute real output. What is unresolved is whether the price data India collects can support the method at the level of detail it demands. That is a question about the statistical system’s inputs rather than about the arithmetic applied to them. The marker to watch is whether the producer price index that the method depends on is released alongside the new series.

    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.”

  • ‘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.”

  • There are large inconsistencies between GDP and other economic indicators: says Garg

    Why in the News

    A former Finance Secretary has questioned the credibility of India’s latest Gross Domestic Product (GDP) estimates. The objection is not to the level of growth reported but to the absence of a transparent bridge between the old 2011-12 base series and the new 2022-23 base series. The new series has cut the size of the economy for 2024-25 by ₹12.70 lakh crore. The Ministry of Statistics and Programme Implementation (MoSPI) has explained the reduction as the result of a new methodology, wider coverage and improved data. Wider coverage normally raises the nominal size of an economy rather than reducing it. That is the inconsistency now in dispute.

    What is the 2022-23 base year GDP series?

    1. The base year: The base year is the reference year whose price structure is used to strip inflation out of nominal output. Real growth is measured against that fixed set of prices.
    2. What the revision changes: The new series moves the base from 2011-12 to 2022-23. It also changes the data sources and the indices used to estimate output.
    3. The back-series: A back-series recomputes earlier years on the new base. Without one, estimates on the old and new bases cannot be compared year on year.

    Why does the new series need a back-series?

    1. There is no bridge between the two series: No published concordance links the 2011-12 base estimates to the 2022-23 base estimates. A user cannot see which part of the change comes from the new base and which from the new data.
    2. A published timetable is the test of intent: MoSPI has been asked to release a back-series covering 2011-12 to 2021-22 and to fix a date for doing so. The absence of any such programme indicates the issue is not being treated as pressing.

    Why has a wider dataset produced a smaller economy?

    1. The size of the cut: GDP for 2024-25 was reduced by ₹12.70 lakh crore. The revision to the first quarter of 2025-26 is part of that same larger change.
    2. Coverage cuts the other way: Better coverage adds activity to the estimate and raises nominal GDP. A revision that widens coverage and lowers the level is unexplained by that argument.
    3. An earlier overstatement is one reading: The old system may have overstated output through errors such as double counting. On this reading the new series is a correction.
    4. A deliberate write-down is the other: Output may have been overstated to produce stronger growth numbers and then written down under cover of a new series. No evidence of deliberate manipulation was offered for this reading.
    5. The official account is contested: The Centre’s explanation for the reduction has been described as “officialese, obfuscatory” and as shedding no light on the change.

    What does the deflator gap indicate?

    1. The arithmetic does not close: Consumer inflation runs above 4 per cent and producer price inflation at about 9 per cent. The GDP deflator (the economy-wide price index used to convert nominal output into real output) implied by the latest estimates is about 2.5 per cent.
    2. The price data behind it is not public: The underlying price series used to build the deflator has not been disclosed. The real growth number cannot be checked without it.
    3. Double deflation was applied without the data to support it: Double deflation values a sector’s inputs and its outputs at separate price indices. Indian manufacturing data is not granular enough to sustain that treatment.
    4. Parallel running is the suggested safeguard: The older system should be run alongside the new one until the new methodology stabilises.

    Why is the statistical system’s independence part of this dispute?

    1. The divergence is not noise: Weakness in household incomes, employment, consumption and sentiment has persisted while the headline growth number has not weakened. That divergence cannot be dismissed as statistical noise, particularly where an outcome is politically sensitive.
    2. The data infrastructure needs rebuilding: India’s statistical infrastructure requires massive modernisation before its outputs can be defended on technical grounds alone.
    3. Freedom from political direction is the precondition: The system can produce reliable numbers only where there is no political interest in results running in a particular direction. Statisticians need greater freedom from political control for that to hold.

    What does the GDP number leave out?

    1. GDP is not a measure of welfare: Aggregate output says nothing about how the gains from that output are distributed.
    2. The income leg is missing: India does not adequately publish the income side of the national accounts. That side shows how value added is divided between labour, corporations and government.
    3. Growth alone will not lift per capita income: Per capita GDP remains low. The requirement is 9 to 10 per cent growth together with more effective redistribution and lower unproductive government expenditure.

    Challenges to India’s new GDP series

    1. No comparable time series exists: A rebased series without recomputed earlier years cannot support any statement about long-run growth. Eg. The 2015 shift to the 2011-12 base was followed by an official back-series only in 2018, and it revised the earlier decade’s growth rates downward.
      The Fix: Publish the 2011-12 to 2021-22 back-series alongside a documented concordance showing which data source replaced which.
    2. Single deflation distorts manufacturing value added: Indian national accounts have long applied one price index to both a sector’s output and its inputs. Eg. When input prices fall faster than output prices, single deflation records a rise in real value added that did not occur.
      The Fix: Publish the separate input and output price indices used for each manufacturing sub-sector, so the deflation method can be audited.
    3. The informal sector is estimated rather than measured: Output of unincorporated enterprises is extrapolated from formal-sector indicators. Eg. The MCA-21 corporate database used to estimate private corporate output was found to contain dormant and untraceable companies.
      The Fix: Anchor the informal sector estimate to the Annual Survey of Unincorporated Sector Enterprises rather than to a corporate filings database.
    4. Benchmark surveys are dated or withheld: Consumption and employment weights depend on large sample surveys that are not released on a fixed cycle. Eg. The 2017-18 Consumer Expenditure Survey was withheld from publication, leaving the consumption basket anchored to 2011-12 for over a decade.
      The Fix: Fix a statutory release calendar for benchmark surveys, with the release date set independently of the government of the day.

    Conclusion

    The dispute is about verifiability, not about the level of growth. A national accounts estimate that cannot be compared with its own past is not a series, and no methodological note substitutes for that comparison. The statistical system settles this by publishing the recomputed earlier years and the price data behind them, not by explaining itself. Until it does, each quarterly release will be argued over rather than used.

    Matching Previous Year Question

    “[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.”

  • Lost and found: An ‘A’ for India’s long game

    Lost and found: An ‘A’ for India’s long game

    Why in the News

    The Japan Credit Rating Agency has upgraded India’s long-term sovereign rating from BBB+ to A-, and raised the country ceiling to A. The upgrade is unsolicited, meaning the agency issued it without India commissioning or negotiating it. India last held an A-grade in January 1988, when Moody’s assigned it an A2 rating. That grade was lost when the borrowing fuelled growth of the 1980s ended in the balance of payments crisis of 1991. The contested question is whether a single external verdict marks a structural shift, since three of the largest agencies still hold India below the A band.

    What is a sovereign credit rating?

    1. What it measures: A sovereign credit rating is an independent assessment of a country’s creditworthiness, expressed as a letter grade standing for a probability of default.
    2. The scale: Grades run from AAA down to junk, with BB+ and below classified as non-investment grade.
    3. What agencies assess: The inputs are institutional strength and governance, economic structure and growth, external accounts and reserve adequacy, the fiscal position and debt path, and monetary flexibility.
    4. Why it moves money: Ratings are embedded in bank capital rules under Basel III (the global bank capital standard), so an upgrade lowers the risk weight banks must carry against government debt. Lower risk weights raise demand for sovereign bonds and cheapen funding.

    How did India lose the A-grade, and why did the return take 36 years?

    1. The 1980s growth was borrowed: The central government’s fiscal deficit reached 9.1 per cent of GDP and the current account deficit rose to 3.1 per cent of GDP in FY 1989-90.
    2. Political churn delayed the correction: Three prime ministers in as many years pushed reform out of reach, and no prospect of fiscal rectitude was in sight.
    3. The external shock arrived on top: The First Gulf War and rising oil prices produced the balance of payments crisis.
    4. The downgrade came in two steps: India was cut to Baa1 by October 1990. By mid-1991 reserves barely covered a few weeks of imports and the rating fell to non-investment grade.
    5. Recovery did not restore the grade: Credible progress across successive governments followed, and thirty-six years passed before an A-grade was accepted again.

    What did the Japan Credit Rating Agency actually cite?

    1. Growth and its composition: The agency cited a high growth rate of around 7 per cent, supported by robust private consumption and public investment.
    2. Tax action as a support: It named personal income-tax cuts and reductions of Goods and Services Tax rates, with the economy growing 7.7 per cent in real GDP terms.
    3. Bank balance sheets: It cited the banking sector’s gross non-performing loan ratio declining to 1.8 per cent, supported by the Insolvency and Bankruptcy Code and capital injections by the government.
    4. The character of the list: Almost every item cited is structural rather than cyclical, which is what separates a rating upgrade from a reaction to a good quarter.

    Does the new GDP series survive scrutiny?

    1. The quarter behind the upgrade: First quarter estimates for 2026-27 recorded real GDP growth of 7.8 per cent, nominal growth of 10.3 per cent, real Gross Value Added growth of 8.2 per cent, and gross fixed capital formation growing 11.9 per cent.
    2. Revision is routine, not novel: India has revised its national accounts series in 1948-49, 1960-61, 1970-71, 1980-81, 1993-94, 1999-2000, 2004-05, 2011-12 and 2022-23.
    3. What the revision fixed: The old series carried an outdated base year and relied on wholesale rather than producer prices, both flagged in International Monetary Fund assessments. The new series introduces an Output Producer Price Index, adopts double deflation across sectors including manufacturing, and aligns India closer to the System of National Accounts (SNA) 2008 (the international standard for compiling national accounts).
    4. The official position on the charge of inflation: The Ministry of Statistics and Programme Implementation has stated that the revisions do not represent a downward revision made to make the current year’s growth appear higher, and that the improved implicit deflator now carries more than 300 individual price deflators.

    Why is the upgrade significant beyond the letter grade?

    1. It is an external verdict: An unsolicited upgrade is delivered rather than negotiated, so it cannot be presented as the product of official persuasion.
    2. It validates pooled sovereignty: The rating rests on institutions built through Centre-State consensus, the GST Council foremost among them, whose pooling of taxation powers has no true parallel elsewhere.
    3. It should reprice risk in boardrooms: A lower risk premium enters the calculations where foreign direct investment decisions are actually taken, which augurs well for inward capital flows.

    Where the rating methodology itself is contested

    1. The framework carries judgement, not only data: The assessment model is opaque at the point where committee judgement enters, and the resulting grade cannot be replicated from published inputs.
    2. Fast growing emerging markets are penalised: The predilections built into the process have downgraded economies carrying low external debt and sound macroeconomic frameworks.
    3. The divide runs along territorial lines: A duality of standards based on where economic activity is located separates advanced economies from the Global South in the outcomes.
    4. Even AAA borrowers organise around the grade: The World Bank and several sovereign governments manage their balance sheets around retaining a rating, which shows how much the letter governs behaviour.

    Where do the other agencies stand?

    1. Three still hold India below the A band: S&P Global rates India BBB, Moody’s Baa3 and Fitch BBB-.
    2. The upgrade works as pressure: Agencies are wary of being conspicuous outliers, so one move raises the cost of holding a divergent view.
    3. Six firms set the price of capital: S&P Global, Moody’s, Fitch, the Japan Credit Rating Agency, R&I of Japan and Morningstar DBRS dominate sovereign assessment, in an industry dating to 1909 when John Moody began grading American railroad bonds.

    Challenges to the A- upgrade

    1. A single agency’s move does not reset the cost of borrowing: Investor mandates and bank capital rules key off the larger agencies, so funding costs shift only when the others follow. Eg. Indian issuers still price external debt against grades set one to three notches lower.
      The Fix: Publish a point by point rebuttal of each agency’s stated assessment, so a divergent grade has to be defended on the record.
    2. External shocks sit outside the rating’s control: A grade earned on structural reform can be tested by a price the economy does not set. Eg. Tariff frictions, tensions in West Asia and elevated oil prices ran alongside this upgrade.
      The Fix: Hold the reserve buffer and the fiscal glide path independently of the rating cycle, so the grade is not defended by procyclical tightening.
    3. Capital follows enforcement rather than a letter grade: A lower risk premium converts into investment only where contract enforcement and clearances are predictable. Eg. The agency itself credited a statutory change, the Insolvency and Bankruptcy Code, for the cleaner bank balance sheets it cited.
      The Fix: Extend the same statutory approach to contract enforcement, with time bound disposal in commercial courts.
    4. Assessment is concentrated in a handful of committees: A small set of firms prices capital for the entire Global South, and their method is not open to challenge. Eg. Even a multilateral lender orders its balance sheet around retaining its own top grade.
      The Fix: Build a credible rating agency headquartered in the Global South with a published and replicable methodology.

    Conclusion

    India holds one A-grade rating and three grades below it, and the gap is now the operative fact rather than the upgrade. The next test is whether the other large agencies move, since a rating changes funding costs only when the market’s benchmark grades change with it. The second test is whether the lower risk weight shows up as cheaper borrowing for Indian issuers rather than as a headline. The deeper question the upgrade leaves untouched is who gets to set the method by which a fast growing economy is judged.

    Back2Basics: Insolvency and Bankruptcy Code, 2016

    1. What it is: A single consolidated law for the time bound resolution of insolvency for companies, partnerships and individuals, replacing a scattered set of earlier debt recovery laws.
    2. How the process runs: A committee of creditors takes charge of the defaulting company through a licensed resolution professional and votes on a resolution plan, with liquidation as the outcome where no plan is approved.
    3. The forum: The National Company Law Tribunal adjudicates corporate insolvency, and the Debt Recovery Tribunal handles individuals and partnership firms.
    4. The regulator: The Insolvency and Bankruptcy Board of India regulates insolvency professionals, agencies and information utilities under the Code.

    [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.

  • The economy, its math and politics

    Why in the News

    A former Economic Affairs Secretary in the Ministry of Finance has claimed that nominal Gross Domestic Product (GDP) growth in the first quarter of 2026-27 was 2.6 per cent, against the 10.3 per cent estimated by the Ministry of Statistics and Programme Implementation (MoSPI). Adjusted for inflation of 2 to 2.5 per cent, that arithmetic puts real growth at zero rather than at the official 7.8 per cent. The claim was built by comparing the April-June 2025 GDP level computed on the old 2011-12 base year with the April-June 2026 level computed on the 2022-23 base year that MoSPI adopted in February 2026. Splicing two series produces a growth rate that measures neither of them. The contest is between an official estimate the government spent a week publicly defending and a public mood in which a very low growth number was readily believed.

    What is a base year in GDP computation?

    1. The purpose: A base year fixes the set of prices at which output in every later year is valued, so a change in the measured total reflects a change in volume and not a change in prices.
    2. Nominal against real: Nominal GDP values output at the prices ruling in the year it was produced. Real GDP values that same output at base year prices, which is what makes growth comparable across years.
    3. The worked illustration: A country producing only crude oil sells 10 million barrels at $10 in year 1, giving a GDP of $100 million, then 5 million barrels at $30 in year 2, giving $150 million. Measured at year 1 prices, year 2 output is $50 million, so the economy has contracted by half even though its nominal GDP rose 50 per cent.
    4. What the base year carries: It fixes the relative prices and the weights of the period chosen, and those weights then run through every year of the series.

    Why is the base year revised every five to six years?

    1. Consumption patterns move: What households spend on shifts substantially over a decade, so an old price structure misvalues what the economy now produces. Eg. Telecom tariffs collapsed after 2016 and digital services barely existed as a separate category in 2011-12.
    2. Measurement itself improves: Technology and method allow faster and more precise capture of output and prices than were available when the previous base was set.
    3. Administrative data replaces proxies: The 2022-23 series draws on Goods and Services Tax returns, the Public Financial Management System for central government accounts, e-Vahan for transport spending, and the Annual Survey of Unincorporated Sector Enterprises and the Periodic Labour Force Survey for the informal economy.
    4. Every earlier year is restated: When the base moved from 2011-12 to 2022-23, the GDP values changed for all years from 2011-12 onwards, so growth must be computed between two comparable periods within the new series.

    Where did the disputed calculation go wrong?

    1. The splice: The claim took the April-June 2025 level from the 2011-12 series and the April-June 2026 level from the 2022-23 series, then divided one by the other.
    2. What that number actually measures: A ratio across two series captures the gap between two different valuations of the economy, not the change in output between two quarters.
    3. The office lent the claim weight: The claimant had headed the Department of Economic Affairs and was designated Finance Secretary, which is why the government machinery responded for most of a week rather than ignoring the claim.
    4. The rebuttal crossed party lines: A Congress Rajya Sabha member who is himself critical of the government’s economic management wrote publicly that the arithmetic behind the real growth estimate was not among the things wrong with India’s economy.

    Why did a wrong number travel so far?

    1. Perception ran ahead of the arithmetic: A low growth number was plausible to a section of readers before any of them checked how it was derived.
    2. The protest backdrop: The claim landed during the Jantar Mantar protests, which had already made the government’s economic record a live public argument.
    3. The employability gap: An education system that does not leave its graduates job ready weakens the link between a headline growth number and what people observe.
    4. The demographic pressure: More than a crore young people enter the job market every year, so growth is judged against absorption rather than against output.
    5. Political amplification and its limit: The Congress and several of its leaders amplified the claim. The Leader of the Opposition in the Lok Sabha, a standing critic of the government’s economic policy, did not comment on it.

    Challenges to the 2022-23 GDP series

    1. The deflator is built for goods: Converting nominal output into real output leans heavily on the Wholesale Price Index, which carries no services component at all. Eg. Services are close to 55 per cent of gross value added and are deflated using price indices constructed for wholesale goods transactions.
      The Fix: Complete the Wholesale Price Index base revision and introduce a Producer Price Index, which is the standard deflator in most large economies.
    2. The corporate database carries inactive firms: Private corporate value added is estimated from company filings, which can include shell and dormant entities. Eg. A National Sample Survey Office technical report on the corporate affairs database found a large share of sampled companies untraceable or wrongly classified.
      The Fix: Publish an annual reconciliation of the active company frame against Goods and Services Tax filings before the frame is used for estimation.
    3. Independent verification lags the release: The detailed sources and methods document that lets researchers reproduce the estimates is published well after the series itself. Eg. After the 2011-12 revision, the back series for years before that base remained contested for years, with a committee estimate and the official estimate disagreeing about growth in the 2000s.
      The Fix: Release the sources and methods volume on the same day as the new series rather than as a follow-up publication.
    4. Growth is not tracked by tax collections: High measured nominal growth that is not matched by proportionate corporate tax receipts leaves the estimate open to challenge. Eg. Direct tax buoyancy has repeatedly diverged from nominal GDP growth in years of strong headline expansion.
      The Fix: Publish the nominal GDP to tax base reconciliation alongside quarterly estimates, so the divergence is explained rather than argued over.

    Conclusion

    The arithmetic is settled and the credibility question is not. Two incompatible growth claims about the same quarter circulated side by side because most readers have no way to adjudicate between them. A statistical office that must be publicly defended each time a headline number is disputed is carrying a trust problem that no revision of the base year resolves. The transition to the 2025 System of National Accounts, due by 2029-30, is the next occasion on which that gap is either closed or carried forward.

    What is National Income Accounting?

    1. About: National income accounting is the set of methods used to measure economic activity across a national economy as a whole, producing indicators such as GDP, Gross National Product and Net National Income.
    2. Rationale: National accounts give fiscal policy, monetary policy, welfare targeting and cross-country comparison a single common measurement base.
    3. Named typology, the three methods: The production method sums value added at each stage across agriculture, industry and services. The income method sums rent, wages, interest, profit, mixed income and net income from abroad. The expenditure method totals consumption, investment, government spending and net exports.
    4. Who compiles it in India: The National Statistical Office under MoSPI prepares the estimates using the benchmark indicator method.

    Laws and Rules Governing National Income Accounting

    1. Collection of Statistics Act, 2008: Empowers the Centre, State governments and local bodies to collect statistics on economic, demographic, social, scientific and environmental matters, and makes furnishing the information a legal obligation.
    2. Collection of Statistics Rules, 2011: Prescribe how a statistical collection is notified and how statistics officers are appointed and their powers exercised.
    3. Collection of Statistics (Amendment) Act, 2017: Extended the parent Act to Jammu and Kashmir, closing a jurisdictional gap in national statistical collection.

    Key Facts about National Income Accounting

    1. National Statistics Day is observed on 29 June, the birth anniversary of P.C. Mahalanobis.
    2. MoSPI was created in 1999 by merging the Department of Statistics with the Department of Programme Implementation.
    3. The National Statistical Commission was set up in 2005 on the recommendation of the Rangarajan Commission and remains a non-statutory advisory body.
    4. The first estimate of India’s national income was made by Dadabhai Naoroji in 1868, and the first official post-Independence estimates came from the National Income Committee of 1949.

    Challenges in National Income Accounting

    1. The unorganised economy resists direct measurement: A large share of output comes from unregistered enterprises that file no accounts, so their contribution is surveyed and then projected forward. Eg. The informal sector contributed roughly 45 per cent of gross value added in 2022-23.
      The Fix: Shorten the interval between unincorporated enterprise surveys so projection periods are measured in months rather than years.
    2. Final and intermediate goods are hard to separate: Counting the same output twice inflates the total, and the distinction depends on who buys the good rather than on the good itself. Eg. Flour bought by a bakery is an intermediate input, and the identical flour bought by a household is final consumption.
      The Fix: Extend the Supply and Use Tables framework, which balances production against consumption and forces the discrepancy to surface.
    3. Non-market work is excluded by construction: Subsistence farming, barter and unpaid care work produce real output that no price attaches to, so they never enter the total. Eg. Time use survey data shows women performing several hours of unpaid domestic and care work daily, none of which is counted.
      The Fix: Publish satellite accounts for household and care production alongside the main accounts, as several statistical systems already do.
    4. Natural capital depletion is treated as income: Resource extraction adds to measured output and the loss of the resource is not netted out anywhere. Eg. Groundwater drawn beyond recharge in Punjab and Haryana raises agricultural value added. The stock that produced it shrinks, and nothing in the accounts records the loss.
      The Fix: Build a Green GDP series that deducts resource depletion and pollution costs, reported as a companion to the headline estimate.

    Matching Previous Year Question

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

  • Taking heart from the GDP story, behind the headline number

    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.