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From |
Thomas Klausch <[email protected]> |

To |
[email protected] |

Subject |
st: Using stratified samples in STATA / giving weights |

Date |
Sat, 5 Sep 2009 17:31:21 +0200 |

Dear list members, I am planning to survey a stratified sample from a relatively small finite population of which I know the size. I am not too familiar with weighting techniques and the STATA -svy- command family, which is why I write. Maybe somebody can give useful advice. My popluation consists of size n=7800, with n=700 and n=7100 sized relevant stratas. My first question is, how I would decide about a good sample size for each Strata if I cannot sample more than n=1200. I am particularly interested in estimates from the smaller strata. So I decided heuristically to sample n=500 from the small and n=700 from the large STRATA, but I am not sure if this is reasonable to do. My knowledge about weighting tells me that this gives rise to weights of approx. .22 for the small strata and approx. 1.56 for the large strata. In SPSS I would know how to use the weights function, as there is only one. STATA provides several weight options -fweight-, -pweight-, -aweight- and -iweight-. I have tested in STATA that it gives the same estimates using -iweight- than SPSS does using the WEIGHT BY command. My second question is if -iweight- is reasonable to use for my case when estimating regression models (in particular logistic panel models). My third question is whether there is a, maybe better, way to use the options provided in the -svy- command family to specify the survey design. Maybe there is also a third way I do not know of. If anybody could give advice on these questions or further reference for detailed information on -svy- I'd appreciate it a lot. Many thanks Thomas * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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