India’s newest GDP estimates have opened a wider debate on the credibility of official statistics, methodology, information high quality and the interpretation of financial development. Whereas the federal government has defended the revised numbers citing improved protection and methodological adjustments, questions stay over transparency and the sharp revisions within the dimension of the economic system. In written responses to The Hindu, Former Finance Secretary Subhash Chandra Garg discusses the federal government’s defence of India’s financial estimations, his considerations over information high quality, alleged political interference within the nation’s statistical inquiry, coverage implications and the credibility challenges surrounding India’s development narrative.
India has traditionally linked new GDP collection to previous ones by way of splicing, re-estimation and back-series building. Why shouldn’t MoSPI assemble a clear bridge between the 2011–12 and 2022–23 collection earlier than asking the general public to simply accept the expansion fee? What would that bridge want to point out?
Completely legitimate demand. MoSPI should announce a time-table of bringing out the back-series information from 2011-12 to 2021-22. It appears the federal government shouldn’t be very severe about it as no such programme has been introduced up to now.
The federal government may have preempted a lot of this controversy by releasing a clear decomposition of the roughly ₹6 lakh crore revision in Q1 FY26 GDP. Why wasn’t that finished, and what would you anticipate such a decomposition to point out?
The query of discount in nominal GDP of ₹6 lakh crore traces again to 2022-23 to 2024-25. For 2024-25, the GDP has been lowered by as a lot as ₹12.70 lakh crore. The federal government has not defined why the discount needed to be made. It has tried to brush it underneath the carpet by taking refuge underneath the generic argument that it was because of the new information generated by new methodology, wider protection, new indices and many others. This argument is egregious as any higher protection results in nominal GDP getting elevated, not decreased. Why the federal government has not finished it maybe lies within the monumental problem it’s dealing with in explaining this. In my evaluation, there are solely two doable explanations. One, the system had goofed up which resulted in overstatement of GDP on account of double counting, counting errors and many others. Second, the GDP was intentionally overstated to assert larger development fee and when the job was finished, taking the chance of the brand new collection, was quietly written down. By the way, the discount in GDP helps in producing larger than precise development charges in future as effectively.
If economists, ranking businesses and fund managers had constructed their India development narrative round earlier GDP estimates, who bears duty when a serious statistical revision alters the measured dimension and trajectory of the economic system?
I don’t assume anybody accepts duty within the authorities. The companies and buyers endure on account of consequential rupee depreciation and decrease or unfavorable inventory market returns.
If GDP deflation is in the end a measure of costs, how assured are you that India’s present worth structure captures the costs really confronted by producers — significantly in providers, casual exercise and value-added chains — slightly than counting on worth indices which can be simpler to look at? May a GDP deflator be statistically internally constant and nonetheless systematically understate the inflation skilled by companies and households?
Whereas there may be some welcome motion within the matter of adoption of finest worldwide practices in measuring deflator, the present scenario has thrown up an obvious irreconciliation consequence. When the patron worth inflation is over 4% and producer worth inflation is 9%, the remainder of items and providers (nonetheless to be publicly disclosed) can not generate such unfavorable or low inflation that the deflator turns into 2.5% within the first quarter. There’s positively severe inner inconsistency, which must be transparently defined.
If double deflation is a globally accepted methodology, ought to the talk deal with the precept of the strategy, or on whether or not India possesses sufficiently granular and dependable output, enter and worth information to implement it with statistical confidence?
Like CAS within the inventory markets, not each worldwide finest apply may be simply and painlessly institutionalised in India. One has to arrange the system granularly and create dependable output, enter and worth information to implement it. Within the time interval until the brand new apply stabiliaes and generates credible information/output, it is sensible to run two techniques parallely and use the deflator from the older interval.
Does double deflation clear up the manufacturing measurement downside — or can it create a brand new downside if the output and enter worth indices are themselves poorly measured? What empirical proof would persuade you that the brand new worth structure is definitely bettering manufacturing GVA slightly than rising its sensitivity to measurement error?
I don’t assume it solved the matter of producing deflator measurement satisfactorily. Curiously, whether it is utilized just for some choose sectors and ignored for the remaining, it could throw up distortionary total outcomes because the enter inflation for the outputs of different sectors which change into enter for manufacturing is not going to be captured appropriately.
Financial estimation is just as dependable as the information behind it. Wanting again, would you concede that the actual vulnerability was not essentially within the GDP system however in India’s failure to take a position early sufficient within the information infrastructure required to measure an more and more advanced and casual economic system?
I believe our system would nonetheless generate dependable information if there isn’t a political curiosity to provide ends in a sure path. After all, it wants huge modernisation and likewise independence of statisticians from political management in gathering, analysing and producing data-sets.
A high-growth economic system can coexist with weak family sentiment, however given the dimensions of India’s unorganised sector, how ought to the statistical company clarify a divergence between sturdy measured GDP development and weaker indicators from family incomes, employment, consumption and financial sentiment?
I believe there’s a massive inconsistency between GDP and different information collection. In regular circumstances, it would occur generally for extraneous causes. Nonetheless, if sure information collection outcomes change into politically delicate and the system struggles to provide these outcomes, the consistencies can’t be defined away to extraordinary circumstances.
Are we measuring financial welfare after we measure GDP development — and if not, what complementary variables ought to we put alongside GDP earlier than concluding that the economic system is definitely doing effectively? If GDP is rising 7.8% however actual family buying energy and employment are rising far more slowly, ought to an economist describe that as a high-growth economic system?
We don’t produce the third leg of the GDP — the revenue leg i.e. the revenue distribution between the three recipients of the GDP worth added: labour (wage and wages), corporates (income) and authorities (product taxes). Till that’s finished, financial welfare can solely be measured very broadly: within the type of development in per capita GDP. India’s GDP per capita may be very low. Logically, we should always develop at a really excessive charges (9-10%), redistribute revenue (by taxing the rich and enlarging the revenue tax base), and cut back the federal government’s extremely unproductive funding expenditures to nudge the GDP development in the direction of the individuals.
The responses from MoSPI and the Finance Ministry seem like technically defensible, however do they shut the credibility hole? What, in your view, would really shut that hole?
Response on the difficulty of GDP discount is just officialese and obfuscatory. It sheds no mild.
What would falsify your argument? What proof would make you alter your thoughts concerning the 2022–23 GDP collection — and, conversely, what proof would persuade you that the official 7.8% development determine is considerably overstated?
The GDP discount/loss is actual and put out by the federal government itself. Nothing can falsify my argument. The GDP development was 2.6% in nominal phrases and almost 0 in actual phrases if the GDP was ₹86 trillion within the Q1 2025 as said by the Authorities. The lack of GDP can solely be defined by both bringing out the overstatement or admitting that it was finished to artificially jack up the expansion in earlier years.
