The Republic of Statistical Scramble

Straightening out data inconsistencies should be a government priority

Many a caustic word has been exchanged in the acrimonious debate over the Indian economy’s employment data. One set of numbers claims the current phase of economic growth as jobless. Alternative data sets have accompanied vigorous assertions of rising employment. And then there are many in the middle, trying to make sense of the scant (and outdated) data and wondering how anybody reached any conclusion at all.

Welcome to the republic of statistical scramble in the age of Big Data. The Bharatiya Janata Party’s (BJP’s) 2014 election victory was predicated partly on the promise of enhanced economic well-being; straightening out data inconsistencies should be a priority on the path to fulfilling that promise.

Take a look at labour data. Currently, employment data is collated from different surveys, each one measuring different things using varied methodologies. NITI Aayog’s task force on improving employment data recently released the first draft of its report, which lists how several arms of the government get involved in collecting and mashing up data. The report is unequivocal about the current state of data collection: “The available estimates are either out-dated or based on surveys with design flaws that render them unsuitable for inferring nationwide employment level.”

On the demand side, the National Sample Survey Organization (NSSO), in the ministry of statistics and programme implementation (Mospi), conducts a comprehensive household survey once every five years, with the last one occurring in 2011-12. The labour bureau in the ministry of labour and employment also conducts two household surveys—a quarterly quick employment survey and another on an annual basis. These are in addition to the decadal population census surveys, which measure two variables: a headcount of all types of workers at 10-year intervals and all non-agricultural enterprises, regardless of size.

On the jobs supply side, Mospi conducts a statutory annual industries survey for units registered under the Factories Act, 1948. NSSO also conducts an unorganized units survey; this is in addition to the micro, small and medium enterprises (MSME) census conducted by the MSME ministry. Finally, various government administrative bodies, such as the Employees Provident Fund Organization (EPFO) or Employees’ State Insurance Corporation (ESIC), provide some indication of organized sector employment trends (though this is being increasingly undermined by growing preference for contract labour). In addition, there are some private sector surveys also—for example, by the Centre for Monitoring Indian Economy.

All these measures suffer from some infirmity, whether it’s methodological, unviable sample size, inability to distinguish between different types of employment, long gaps or irregular frequencies. But one thing is common: the findings only provide a partial picture and are therefore useless as a tool for policy design. Part two of the Economic Survey says: “The lack of reliable estimates on employment in recent years has impeded its measurement and thereby the Government faces challenges in adopting appropriate policy interventions.”

The NSSO has, in the meantime, begun a fresh, ambitious annual exercise to map all nature of employment data; a quarterly survey will generate similar estimates for urban areas. In its report, NITI Aayog has recommended, among other things, vast improvements to existing surveys, institutional and legislative changes, overhauling physical and digital infrastructure and more aggressive use of technology to crunch the time-gap. 

But the study might need to extend beyond employment data because statistical distortions also exist in other areas. NITI Aayog provides an example about the state of statistical confusion: each enterprise, while filing returns or statutory information, is assigned a different identification number under Good and Services Tax Network, EPFO, ESIC, Factories Act and Shops and Establishment Act.

This problem is not restricted to enterprise data and exists in other government departments as well. Take the example of estimating the cotton crop. Two separate ministries release two separate estimates every year.

The agriculture ministry’s cotton crop estimate for 2015-16 was 30.15 million bales of 170kg each, while the textile ministry’s estimate for the same year was 33.8 million bales—that’s a difference of 620 million kg! In the previous year, 2014-15, the estimates put out by the two ministries were 34.8 million bales and 38 million bales, respectively. This divergence seems bewildering, especially when acreage estimates from both the ministries broadly tally.

Forget discrepancies between ministries: this paper had reported (goo.gl/vsYGzc) how cotton yield figures differ widely within the agriculture ministry. There have also been reports (goo.gl/fd9adW) about vastly varying data on the number of taxpayers added since demonetization emerging from different parts of the government. Mismatch between data sets from within the government also breeds scepticism regarding the statistical robustness of national accounting, especially when anecdotal evidence seems contra to buoyant gross domestic product data.

India’s magnificent statistical heritage distinguishes the nation from its neighbours, whose growth record is often viewed with scepticism globally. This infrastructure needs an urgent overhaul to maintain credibility, perceive economic trends and deliver appropriate policy prescriptions.

The article originally appeared in Mint newspaper on August 23, 2017, and can also be read here

Budget And Moral Imperatives

Increasing public investment and employment remains a moral imperative for finance minister Arun Jaitley

Union finance minister Arun Jaitley is probably caught in a cleft stick. With demonetisation throwing a spanner in the works, his fourth budget will understandably try to achieve a balance between reviving economic growth and maintaining fiscal stability. These are two seemingly conflicting goals, with economists sharply split on both sides of the divide. The fiscal responsibility and budget management committee is also believed to have drawn some red lines. But Jaitley may not have much of a choice.

There are two ways to revive growth: either through consumption or through investment. Export-led growth could have been another possibility but India’s persisting trade deficit and the world economy’s delayed recovery makes it a non-starter. With demonetisation squeezing out demand, there could be attempts to stimulate consumption through some restructuring in direct taxes and some realignment of indirect tax rates (especially excise) on goods, in line with the proposed goods and services tax slabs. The clamour for fiscal rectitude, especially the threat perception posed by credit rating agencies, might stay Jaitley’s hand from over-stretching.

The other alternative is government’s capital expenditure, because demand compression is also likely to suck out the private sector’s desire to invest. However, there are valid concerns over the government’s ability to execute projects efficiently and within budgeted costs. Road minister Nitin Gadkari’s recent admission of highway construction falling short of desired targets reflects both private sector lassitude in taking up infrastructure projects and the government’s less-than-stellar record in project execution.

File photo of finance minister Arun Jaitley; photo courtesy: Reuters

At a pre-budget seminar in Mumbai, former Reserve Bank of India governor C. Rangarajan said public investment amounts to roughly 7% of gross domestic product (GDP), with the Centre and the states (collectively) accounting for 1.6% of GDP each and public sector units contributing the balance 3.8%. If quality of execution is a concern, there’s a proposal to re-route part of the Centre’s public investment to public-sector units (PSUs) as equity which, leveraged with bank loans, can be used for greater impact. It’s not the best, or ideal, solution, but it sounds workable.

A section of economists and demonetisation supporters claim that penal taxes collected through the two-tranche income-disclosure scheme are likely to provide Jaitley with elbow room to stretch his capex budget without upsetting fiscal targets. And though that is serendipitous (Rs15,000 crore is expected from just the first tranche), the question arises whether Jaitley would allocate a higher capex outlay even in its absence.

Interestingly, increased capital expenditure meets three objectives simultaneously: reviving economic growth, visible progress towards meeting the UN’s Sustainable Development Goals (SDGs) and implementing some of the campaign promises made by Prime Minister Narendra Modi during the 2014 general election.

India is a signatory to the UN’s SDGs, which succeeded the Millennium Development Goals. The SDGs cover 17 broad goals (incorporating 169 related targets) to be achieved by 2030. The SDGs have been framed with the singular purpose of achieving three overarching objectives: ending poverty, protecting the planet, and ensuring prosperity for all. The Planning Commission’s successor, NITI Aayog, has been entrusted with mapping the targets with different ministries, coordinating with them and helping the government meet the targets.

Goal 9 of the SDGs says: “Build resilient infrastructure, promote sustainable industrialization and foster innovation.” More importantly, this is directly related to Goal 8: “Promote inclusive and sustainable economic growth, employment and decent work for all.” This goes directly to the heart of the debate between fiscal hawks and those wanting the government to expand public investment for kick-starting growth; it also provides a compelling reason for the government to increase outlays for public expenditure.

Employment growth remains stagnant across the world. A joint study (goo.gl/ZvLcsf) by the International Labour Organization, the World Bank, the International Monetary Fund and the Organisation for Economic Cooperation and Development found employment elasticity (the direct relationship between employment growth and economic growth) in most G20 countries is low, giving credence to claims of “jobless growth”. India’s employment elasticity is said to be close to zero. A 2014 working paper by RBI staffers (goo.gl/U09o8b) has also pointed out how employment elasticity has declined in the post-reforms era, especially in the manufacturing sector.

The Bharatiya Janata Party’s (BJP’s) 2014 campaign manifesto promised to create new employment opportunities: “A strong manufacturing sector will not only bridge the demand-supply gap leading to price stabilization, but also create millions of jobs and increase incomes for the working class.” There were also commitments to create jobs in the small-scale sector, agriculture and agri-related industries. Unfortunately, the narrative in many states with high unemployment rates has changed thereafter.

So far, official data and anecdotes both indicate demonetisation-induced livelihood stress in urban and rural areas. People have lost jobs across manufacturing, service and agricultural occupations. Whether BJP wins or loses the approaching state assembly elections, increasing public investment and employment remains a moral imperative.

The above article was published in Mint newspaper on January 25, 2017. It can also be read here