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Home » Data » Sampling and Weighting Webinar June 2015 » De-normalization; original probability weights; level of clustering
De-normalization; original probability weights; level of clustering [message #5498] Mon, 01 June 2015 06:47 Go to previous message
gyamada is currently offline  gyamada
Messages: 7
Registered: November 2014
Location: Baltimore

I would like to know the following points.

1. When data of multiple time points are combined of the same county, is the de-normalization necessary? What is the theoretical reason behind to decide if we use original weights or de-normalized weights? I saw multiple threads in the "weighting data" section of the forum, but I have not understood it clearly.

2. Is there any way to obtain the original probability weights? (i.e. before modification accounting for non-response. I assume that no adjustment for poststratification?). I am taking bootstrap samples from DHS data, and it is recommended to use the original probability weights (Kolenikov, Stata Journal, 2010: 10 (2); 165-199).

3. When we consider clustering at PSU, can we assume that we also consider clustering at lower levels (i.e. at household and women)?

Goro Yamada
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