There were 2.3 million new active EPFO contributors in FY15, 2.7 million in FY16 and 7.5 million in FY17. (EPFO website, Parliament question). Clearly, the steady state seems to have been around 2-3 million new additions to the EPFO database every year. In FY17, there were 7.5 million new additions. FY17 was also the year of demonetisation which was undeniably a big externality to India’s economy and hence the labour market. Any logical interpretation of this would be to hypothesise that perhaps demonetisation had a formalisation effect on the labour market in FY 17 that resulted in a spike and then to test this hypothesis before rushing to claim that India is now creating 7.5 million new jobs. But this is precisely what the authors of the EPFO study do. They present numbers for just two years — FY 17 and FY 18, both of which had externalities in the form of demonetisation and GST, and make tall claims based on these two years. At the minimum, rigorous research demands that the authors provide a time series of their data set and test for this sudden spike in registrations.
- The authors also claim that they have access to some data set from EPFO that others don’t and hence we should trust their findings. This is not the authors proprietary data collected through primary means. This is government data of 87 million Indians. Why this should be shared with two select private individuals, ostensibly to make tall claims about jobs in India, is baffling.
- The only way this can be settled is for the authors of the study to put out their data set in public, provide a time series of the data and explain the impact of externalities. Otherwise, it is merely a case of their word versus the rest which will not quite qualify as rigorous research. I have repeatedly argued that the author’s larger message to call for a non-farm payroll data gathering exercise and to use “big data” for labour market research is one I endorse entirely. But that does not mean they take a massive leap of faith and propound exaggerated claims of India being a jobs haven.
The author is chairman, Data Analytics Department of the Congress party, & senior fellow, IDFC Institute