The DHS Program User Forum: Weighting data » Weighting at regional level

Home » Data » Weighting data » Weighting at regional level (Weighting )

Show: Today's Messages :: Show Polls :: Message Navigator

Weighting at regional level [message #26413]

Fri, 17 March 2023 11:42

seinkim
Messages: 4
Registered: October 2022

Member

Dear DHS team,

I'm using calendar data of Zambia 2018/2019 and do analysis on contraceptive use. I want to aggregate contraceptive use per month and region, and do the event study. The outcome variable is rate of condom use/pill use/injectables/etc per month at particular region. What I did to produce these outcome variables at that particular month was to aggregate numbers of contraceptive users divided by total women surveyed at that month. In this case, how should I use weighting? Could you give me some advice?

Thank you!

Report message to a moderator

Re: Weighting at regional level [message #26431 is a reply to message #26413]

Mon, 20 March 2023 11:28

Bridgette-DHS
Messages: 3199
Registered: February 2013

Senior Member

Following is a response from Senior DHS staff member, Tom Pullum:

Are you aggregating with the "collapse" command in Stata? Sometimes I find it convenient to use "collapse" to calculate a weighted numerator and a weighted denominator , bypassing a weight option, and then doing a division in a collapsed file. The following lines suggest a framework:

gen unwtdn=1
gen wtdn=v005/1000000

collapse (sum) *wtdn, by()

I don't know whether this will apply to your situation. Let us know if you need more detail.

Report message to a moderator

Previous Topic:	using wieght, cluster, strata
Next Topic:	Weighting variable Madagascar

Goto Forum:

-=] Back to Top [=-

[ Syndicate this forum (XML) ] [

] [

]

Current Time: Sat Nov 30 02:00:59 Coordinated Universal Time 2024