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using replicate weights

Kimberly Huyser
over 8 years ago

I am using the 5-years estimates (2010-2014) and I am attempting to make PUMA level estimates for American Indians and Alaska Natives who use Indian Health Services (a combination of the race and health insurance variable), and I am using the replicate weights in STATA. I would like to create estimates of education (5 categories). However, I am receiving a an error message.

Here are the stata commands:

svyset[pweight=perwt], vce(brr) brrweight(repwt1-repwt80) fay(.5)mse

gen ihs_aian=(racamind==2 & hinsihs == 2)

 

set matsize 11000

svy, subpop(ihs_aian): prop education, over(stpuma)

 

Error message:

too many categories

an error occurred when brr executed proportion

r(900);

 

I have not received this message when I use p weights and only with replicate weights. I would appreciate it if you would be able to offer any suggestions.

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  • over 8 years ago
    It's a bit strange that you get this message when only using [pw] did not bring the problem up. The categories (cross-tab of PUMA and education) should be the same for each set of replicate weights. (I would suggest just using vce(sdr) sdrweight(repwt1-repwt80), by the way.) If there are about 3,000 PUMAs, then interacting them with 5 categories of education pushes it beyond the 11,000 matrix dimensions that Stata can deal with.

    A simple fix could be to run this in halves, with subpop( if ihs_aian & inrange(statefip,1,30) ) and subpop( if ihs_aian & inrange(statefip,31, 56) ), for instance.

    I wonder though how you are planning to use those results by PUMA. I don't think there will be that many readers of a paper that gives a 3000x5 table of educational attainment :-\.
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  • over 8 years ago
    It's a bit strange that you get this message when only using [pw] did not bring the problem up. The categories (cross-tab of PUMA and education) should be the same for each set of replicate weights. (I would suggest just using vce(sdr) sdrweight(repwt1-repwt80), by the way.) If there are about 3,000 PUMAs, then interacting them with 5 categories of education pushes it beyond the 11,000 matrix dimensions that Stata can deal with.

    A simple fix could be to run this in halves, with subpop( if ihs_aian & inrange(statefip,1,30) ) and subpop( if ihs_aian & inrange(statefip,31, 56) ), for instance.

    I wonder though how you are planning to use those results by PUMA. I don't think there will be that many readers of a paper that gives a 3000x5 table of educational attainment :-\.
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