Standard deviations (Employment data not being released)

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 Standard deviations (Employment data not being released)

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    • NSC resignations : That the key members of National Statistical Commission have resigned recently seems linked to the GoI's refusal to release new data on employment, due December 2018 (as per government's own claims made earlier).
    • GDP Back Series data : That controversy had barely died, and may have impacted the resignation decisions. The back series data showed a sharp decreased in UPA-era GDP growth, and were released by NITI Aayog bypassing the NSC!
    • PLFS July 2017 - Dec 2018 : It seems that the NSSO's Periodic Labour Force Survey (PLFS) found disturbing facts about a five-decade high unemployment scene. But the GoI has said that the NSC never indicated unease, and we will release the data soon.
    • What is the NSC? It was set up in 2006, and verifies data put in public domain for reliability and adequacy. Over the years, Indian data earned global repute as governments put clear schedules for information gathering and release. China doesn't enjoy that reputation. [But India may harm its own reputations now]
    • Youth and jobs : The standard argument is that there are ample jobs, but we really don't have data for it.
      1. The NSSO's quinquennial employment surveys (scheduled for 2016-17) were delayed to 2017-18 (as PLFS would replace it).
      2. The quarterly survey of some employment-intensive sectors by Labour Bureau (after 2008 crisis) was also junked! (no reason given)
      3. Indirect data (proxy) from EPFO and ESIC is being used to show high job creation in formal sector. That has been called inaccurate by most experts.[Why?]
      4. CMIE (Centre for Monitoring Indian Economy) has pegged job-losses in 2018 at 1.1 crore, based on its own surveys.
    • Why is govt. acting this way? Most likely, it is due to the demonetisation-induced that hurt supply chains and informal jobs in the economy, and whose effects are felt till date.
    • The 2009-10 NSSO surveys : The unflattering figures on household incomes and jobs-creation were not held back then. If government start holding back data, the statistical integrity of India will be destroyed.
    • Summary : Statistical integrity leads to reputational credibility, and takes time to earn; by junking reports and delaying releases, India may permanently damage itself.
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