st: svyset for survey with oversampling

[千早 ケンジ <chihayakenji1893@gmail.com>]

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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