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Weighted data and population size [message #17720]

Mon, 13 May 2019 20:29

shopnobaz
Messages: 4
Registered: March 2015
Location: Dhaka

Member

Hello DHS experts,

I want to do a pooled analysis of BDHS 2007, 2011 and 2014 (KR file for children). As per forum discussion, during regression analysis of pooled data, I need to de-nomalize the sampling weight. I did this using

gen wgt = weight_all *** weight_all = v005/1000000(Total number of households during each survey year/sample households in each survey) and append three surveys data 
gen psu = cluster  *** each survey clusters are unique eg. 2007_1, 2011_1 and so on
svyset psu, weight(wgt) strata(strat) , singleunit(centered) || _n  *** each survey strata are unique

When I fitted weighted logistic regression, after adjusting weight this way, I found:

svy: logit y x

Number of strata   =        63                 Number of obs     =      19,896
Number of PSUs     =     1,561                 Population size   =  44,882,311

Could anyone please suggest that the process is correct? Is the population size reliable or not?

Thank you very much.

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[Message index]

		Weighted data and population size By: shopnobaz on Mon, 13 May 2019 20:29
		Re: Weighted data and population size By: Bridgette-DHS on Fri, 17 May 2019 12:59

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