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From | Rebecca Pietrelli <rebecca.pietrelli@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: svy: total command |
Date | Wed, 21 Nov 2012 23:43:53 +0100 |
Dear Steve, thank you very much for your suggestions. Now, my main problems are: 1) File 5 of the dataset presents variables on households that have former members emigrated - 1645 observations - 191 PSUs. File 6 of the dataset presents variables on households that have friends who remit to them - 271 observations - 90 PSUs. I need info of both files. 2) Some households receive remittances both from former members and friends. So, first I worked on the two data files separately, in order to collapse the info for each household in one line. For example in order to have a dummy = 1 if the household has at least one member who remit to it. Then, I merged the two worked files and the first section (File 1) of the survey, which includes general info for all households of the survey. Then: . svyset earea [pw=hhweight], strata(stratum) pweight: hhweight VCE: linearized Single unit: missing Strata 1: stratum SU 1: earea FPC 1: <zero> . . svy: total R_HH, over(stratum) (running total on estimation sample) Survey: Total estimation Number of strata = 2 Number of obs = 1871 Number of PSUs = 209 Population size = 5343613 Design df = 207 Urban: stratum = Urban Rural: stratum = Rural -------------------------------------------------------------- | Linearized Over | Total Std. Err. [95% Conf. Interval] -------------+------------------------------------------------ R_HH | Urban | 198172.7 34793.43 129577.7 266767.6 Rural | 732729 71351.81 592059.5 873398.4 -------------------------------------------------------------- This is the total amount of households that receive remittances from former members, distinguishing households living in urban and rural areas. I did the same for the total amount of households that receive remittances from friends: . svy: total R_NON_HH, over(stratum) (running total on estimation sample) Survey: Total estimation Number of strata = 2 Number of obs = 1871 Number of PSUs = 209 Population size = 5343613 Design df = 207 Urban: stratum = Urban Rural: stratum = Rural -------------------------------------------------------------- | Linearized Over | Total Std. Err. [95% Conf. Interval] -------------+------------------------------------------------ R_NON_HH | Urban | 74081.45 10843.76 52703.09 95459.82 Rural | 331441.9 53385.76 226192.4 436691.4 -------------------------------------------------------------- Now the PSUs are 209 in both!! (il line with the report. it says 200 but with a small correction). I think this procedure should work. What do you think? Thank you Rebecca 2012/11/21 Steve Samuels <sjsamuels@gmail.com>: > ou report the separate totals and the combined total, but with * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/