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Home » Data » Weighting data » Weights used in the Pakistan 2017-18 Survey
Weights used in the Pakistan 2017-18 Survey [message #22865] Wed, 26 May 2021 06:17 Go to next message
Saima is currently offline  Saima
Messages: 10
Registered: October 2015
Location: Bowling Green, Ohio
Member
While going through PDHS data files for couples, I found this information on weighting.
"Tables in Pakistan were not produced for the full country (8 regions), and some regions (AJK and GB) are not included in the national totals. The standard weights are used to generate tabulations for 6 regions (HV005/HV028/V005/D005/MV005).
To generate any tabulations for the other 2 regions (GB or AJK with codes 5 and 7 respectively), use the CS weights ( SHV005/SHV028/SV005/SD005/SMV005).
The CS weights are 0 for regions different of 5 and 7. The standard weights are 0 for regions 5 and 7."

As for my analysis if I want to keep region 5 & 7, how can i weight my whole data set. For instance, I am using MV005 variable to weight my data but the values for this variable are zero for region 5 & 7. In this case, do I need to drop these two regions from my analysis or is there any way to weight the data overall?

Thanks,


Saima
Re: Weights used in the Pakistan 2017-18 Survey [message #22866 is a reply to message #22865] Wed, 26 May 2021 11:58 Go to previous messageGo to next message
Bridgette-DHS is currently offline  Bridgette-DHS
Messages: 3199
Registered: February 2013
Senior Member

Following is a response from DHS Lead Statistician, Ruilin Ren:

There is no way to estimate indicators for all Pakistan including provinces 5 and 7. This was the decision of the Pakistan government. Any attempt to produce indicators for all the 8 provinces together is discouraged.
Re: Weights used in the Pakistan 2017-18 Survey [message #22869 is a reply to message #22866] Thu, 27 May 2021 02:16 Go to previous message
Saima is currently offline  Saima
Messages: 10
Registered: October 2015
Location: Bowling Green, Ohio
Member
Thank you Sir for your response.

Saima


Saima
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