| Re: Weighting Data for Pooled BDHS Household Members Dataset [message #13734 is a reply to message #13733] |
Thu, 14 December 2017 09:55  |
habt_lancs
Messages: 21
Registered: July 2017
Location: Lancaster, UK
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Thanks so much. Very helpful.
One point though
You said :"I personally would not alter the weights in this way."
I also read your suggestions in a different thread; you seem to be unconvinced of this way of de-normalizing (re-weighting).
Since i am using many surveys of a country (Ghana) pooling together, what do you think is the best way to solve this problem.
De-normalizing this way or just simply using the pooled original weight (either hv005 or v005) by dividing it by 1000000?
To elaborate on what i am doing, if it helps, i am using a diff-in-diff estimation strategy where my interest variable is measured at region level and i cluster SE at region level.
best,
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