Discover and read the best of Twitter Threads about #PLFS
Most recents (3)
[1/n]. Between 2008 and 2015, 27 quarterly reports to assess the impact of #economicslowdown on #employment in India was brought out by the #LabourBureau, see URL: labourbureaunew.gov.in/UserContent/Re… @NREGA_Sangharsh @AiyarYamini @AninditaAdhik13 @waglenikhil @mandeeppunia1 @IM4ChangeIndia 
[2/n]. The NDA govt. has carried out no such quarterly surveys (quick ones) 2 measure d impact of #lockdown + #COVID19 on #employment, given d fact that the present #economiccrisis is much more severe than the 2008 one. @mandeeppunia1 @AninditaAdhik13 @nikhilmkss @IM4ChangeIndia
[3/n]. Only reports by #CSOs, #NGOs and academicians based on #surveys are available, covering the #COVID19 #lockdown period and later, some of which are available at im4change.org/farm-crisis/un… @AajeevikaBureau @AninditaAdhik13 @mandeeppunia1 @Outlookindia
[1/n]. #WorkerPopulationRatio according to usual status (ps+ss) among urban males (age group 15-59 years) fell from 74.2% in 2017-18 to 73.7% in 2018-19 i.e. a decline by 0.5 %age points.
[2/n]. In other words, it means #ProportionUnemployed went up from 25.8% to 26.3% between those two years for urban males.
[3/n]. Overall #WPR for age group 15-59 years according to #usualstatus (ps+ss) was 50.3% in 2018-19 -- 75.1% for males and 25.0% for females. In 2017-18, overall WPR was 49.5% -- 74.9% for males and 23.8% for females. #PLFS
A month after holes in a key database used in GDP estimation were first exposed, the controversy around #India's GDP #data and statistical system has only grown. This #thread is a summary of some answers and many questions on this issue #stats #institutions #economy (1/n)
The latest to question the new GDP series is the former CEA @arvindsubraman who was also among the first to question the new series numbers when they first came out in 2015 (2/n)
His main contention, then and now, is that the new series fails to tally with other economic indicators. Others also have made this point but his recent paper (hks.harvard.edu/centers/cid/pu…) is the most systematic demonstration of that issue (3/n)
