Hi Guilherme,
They don't provide some adjustment to the sampling weights to allow for combined analysis?
Cam
----------------------------------------
> From: [email protected]
> To: [email protected]
> Subject: st: svyset for survey with oversampling
> Date: Sat, 22 Aug 2009 02:00:35 +0900
>
> Dear Statalist Members
>
> It is my first post to this list. My name is Guilherme Kenji Chihaya
> and I am currently a graduate student in Tohoku University, Japan. I
> am using a data set called Life Histories and Social Change in
> Contemporary China. It is a survey in which the rural and urban
> populations of China were treated as different populations and each
> one was sampled for about 4000 samples using multistage sampling with
> clustering.
>
> The proportion of China's rural population was about 70% by the time
> of the survey, however, this survey is designed so that it accounts
> for 50% of the whole sample if you try to analyse the two samples
> together. Besides this problem, it still has all the other biases
> caused by multistage clustering.
>
> I wonder if it is possible to use svyset to correct all these biases
> so that I can analyse the two samples as one single dataset. The
> codebook for the survey is incomplete, it states that the data is
> supposed to be analysed using Stata complex samples functionality but
> the part about how to use it is unfinished in the available version.
> There are variables identifying the primary sample unit and the
> stratum used for sampling. However, I don't know how to deal with the
> rural-urban disproportionality.
>
> I would appreciate if someone could help me with this, especially if
> there is anybody in this list that is familiar with this dataset.
>
> Guilherme Kenji Chihaya
>
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