Working with NSSO Data Set

Working with NSSO Data Using STATA

2020

Lecture 2: This lecture  deals with merging  ( one to one merge, one to many merge and many to one merge) and calculation of few basic employment and unemployment indicators using PLFS data set 


Lecture 1: This lecture deals with extractions , merging , uses of weight part of data work. For the purpose   periodic labour force survey (PLFS) 2018-19 is used.  


2021

Lecture 1: This lecture is the same as above. The only difference is that it was taken in a different year with a different set of cohorts. The cohort was MA Eco students. It deals mainly with the extraction, merging and use of weights.   The PPT file used in this lecture can be found here.



Lecture 2: This lecture deals with merging  ( one to one merge, one to many merge and many to one merge) and calculation of a few basic employment and unemployment indicators using PLFS data set. The PPT used in this lecture can be found here.



UPDATES and CORRECTIONS

Correction 1:  for estimating annual statistics of labour market indicators, divide the same weight with a number of quarter variables in the data file instead of 4.  A proportion of the data set number of quarters is different from 4. 

Update 1:  for PLFS 2022-23, calculate labour market indicators using the below Stata codes.  You can note the changes in the calculation of WPR across state, sector and gender in below mentioned codes.

*** generating employment, unemployment and not in labour force code for PS + SS activity workers.

gen empps=1 if perv_fvv9>=11 & perv_fvv9<=51

replace empps=2 if perv_fvv9==81

replace empps=3 if perv_fvv9>=91 & perv_fvv9<=97

gen empss=1 if perv_fvv20>=11 & perv_fvv19<=51

replace empss=2 if perv_fvv20==81

replace empss=3 if perv_fvv20>=91 & perv_fvv19<=97

gen empsss=1 if empps==1 | empss==1


**** for getting WPR across state, sector and gender 

egen dinemp=rowtotal(perv_fvv31 perv_fvv32)

egen tduration=rowtotal(perv_fvv34 dinemp)

gen dninlf=12-tduration

rename perv_fvv34 dunemp

save,replace

gen emp_new=1 if dinemp>=1

**step 1: first get employment distribution across categories 

table  sg  sector [fw=weight1] if emp_new ==1 & age>=15 

**Step 2: obtain distribution of total ppulation across categories

table  sg  sector [fw=weight1] if age>=15 

**setep 3: compy and paste the above tables on excel.

** Derive WPR statistics using the WPR formula, here we are required to divide statistics obtained from step 1 by the total population obtained from step 2

** Data is fully matched with the report, pg. no. 9

*** Labour force

gen labourforceps=1 if perv_fvv9>=11 & perv_fvv9<=82

gen labourforcess=1 if perv_fvv20>=11 & perv_fvv20<=82

gen labourforce=1 if labourforceps==1| labourforcess==1


table sg  sector [fw=weight1] if labourforce==1 & age>=15

* matched with report, pg. No. 7