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Re: st: one stage cluster with preliliminary stratification


From   Stas Kolenikov <skolenik@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: one stage cluster with preliliminary stratification
Date   Wed, 30 Jan 2013 08:30:05 -0600

*** assuming n1, n2, m1, m2, N are contained in the identically named scalars

gen wgt = scalar(n1)/10 if stratum==1
replace wgt = scalar(n2)/8 if stratum==2
assert !missing(wgt)
* cluster size does not matter

*** option 1: poststrata
gen pstrata = 1
gen popsize = scalar(N)
svyset cluster [pw=wgt], strata( stratum ) poststrata( pstrata )
postweight( popsize )

*** option 2: rescale weights
sum wgt
generate wgt2 = wgt*scalar(N)/r(sum)
svyset cluster [pw=wgt2], strata( stratum )

-- 
-- Stas Kolenikov, PhD, PStat (SSC)  ::  http://stas.kolenikov.name
-- Senior Survey Statistician, Abt SRBI  ::  work email kolenikovs at
srbi dot com
-- Opinions stated in this email are mine only, and do not reflect the
position of my employer



On Wed, Jan 30, 2013 at 6:32 AM, Subir Mitra <subir@nddb.coop> wrote:
> ONE STAGE CLUSTER WITH PRELIMINARY STRATIFICATION -I stratify population N (members living in clusters , which is known) into 2 strata and  randomly pick up 10 clusters from 1st stratum and 8 clusters from 2nd stratum (stratum population n1 & n2  and total clusters m1 & m2 in both stratum also known) and all members of the clusters are sampled.
>
> Any guidance to me to find the svyset command in this case, assuming N, m1,m2,n1 and n2 known and I want to make use of it? (The problem is from Schaeffer et al 1996-328 problem 8.19)
>
> *
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