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| From | "Carlo Lazzaro" <carlo.lazzaro@tin.it> |
| To | <statalist@hsphsun2.harvard.edu> |
| Subject | st: R: Estimating the number of workers in each industry in each district - flag: Stata 9/2 SE |
| Date | Wed, 15 Sep 2010 10:07:07 +0200 |
Arka wrote: "Now I want to estimate the number of workers belonging to each industry in a particular district" A quite trivial example about Arka's issue may be the following one (set aside survey technicalities): ---------------------code begins------------------------------------ drop _all set obs 100 g Workers=_n g District="East" in 1/50 replace District="West" in 51/100 g Industry="Concrete" in 1/30 replace Industry="Steel" in 31/100 g A= 1 if District=="East" & Industry=="Steel" g B= 1 if District=="West" & Industry=="Steel" g C= 1 if District=="East" & Industry=="Concrete" ---------------------code ends------------------------------------ HTH and Kind Regards, Carlo -----Messaggio originale----- Da: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Arka Roy Chaudhuri Inviato: mercoledì 15 settembre 2010 9.24 A: statalist@hsphsun2.harvard.edu Oggetto: st: Estimating the number of workers in each industry in each district Dear All, I have a data set which has information at the individual level.I have variables which record the district of residence of the individual, the industry of employment of the individual and other demographic characterstics.The data set also comes with weights which represents the probability that a particular household is included in the sample.Thus all individuals belonging to a particular household get the same weight.Now I want to estimate the number of workers belonging to each industry in a particular district.Could anyone please advice on the correct stata code that I should write to get my desired estimates?Also I would be grateful if somebody could advice me on the possible biases that might affect my estimates at the industry-district level.I would really appreciate any help in this regard.Thanks Regards, Arka -- Arka Roy Chaudhuri PhD Student University of British Columbia 997-1873 East Mall Vancouver Canada Ph: +1 (604) 349-8283 Email: gabuisi@gmail.com * * 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/ * * 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/