| Clarification on applying sampling weights in Stata using India NFHS-5 [message #30908] |
Thu, 17 April 2025 14:18  |
Withadel
Messages: 2
Registered: April 2025
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I am currently working with the India NFHS-5 Individual Recode (IR) dataset for a project analyzing maternal health service utilization. While going through the guide on sampling weights, I still have some doubts and would appreciate any clarification.
Context of my analysis:
Dataset: IAIR7DFL.DTA
Population of interest: women aged 1549 who had a live birth in the past 5 years
Main outcomes: number of ANC visits (categorical), institutional delivery (binary)
Software: Stata 17
I understand from the DHS documentation that v005 should be used as the weight variable, and that it needs to be divided by 1,000,000 before applying. However, I am still confused about how to properly specify this in the svyset command in Stata, and how clustering and stratification should be handled for India, which has a complex sampling structure.
I came across some posts and papers suggesting using v023 as the stratification variable instead of v022, especially for India. Could someone confirm which one is appropriate here?
Given that NFHS-5 has state-specific sampling frames and uses oversampling in some states/urban areas, is there any adjustment needed beyond this basic svyset structure? Or does DHS already account for that in v005?
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