Is ‘Cherry Picking’ Of Data Is What It’s All About?

Is ‘Cherry Picking’ Of Data Is What It’s All About?

New Delhi: RBI Governor Shaktikanta Das recently cautioned against “cherry-picking” of data, subtly arguing against the former Chief Economic Adviser’s paper, but neither was Arvind Subramanian’s paper the only one on GDP over-estimation nor his methodology.

A recent IIM Ahmedabad research paper titled ‘Over estimation in the growth rate of National income’ by Sebastian Morris and Tejshwi Kumari used similar methods to conclude that India over-estimated its growth rate.

“Ever since the Central Statistical Organisation (CSO) changed the method of computation of national output (income), from what was centred around final goods to a dominance of the use of estimates of value added across productive entities, the growth rate from the latter series did not seem to reflect the reality, “ the research paper said.

While Subramanian’s research paper showed that India’s GDP growth had likely been overestimated by about 2.5 per cent points per year from 2011-12 to 2016-17, Morris and Kumari’s paper said the growth was most likely under 6 per cent and closer to 5-5.5 per cent.

Subramanian’s paper caused a huge controversy and a fiery response from the Economic Advisory Council to the PM.

The council gave a “point to point” rebuttal to his paper. Among the several points raised by the council was usage of selective indicators to derive a conclusion.

Besides, the council had said India has frequently revised its GDP calculation methodology and the latest one by Central Statistics Office (CSO) that changed the base year to 2011-12 along with other methodological changes, (as many countries do regularly) was no different.

“Trying to find suitable proxies or approximation of GDP growth rate, when the official estimate is faulty is a legitimate exercise,” Professor R. Nagraj of Indira Gandhi Institute of Development Research (IGIDR), Mumbai said. (IANS)

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