I would like to some totals by sex, departament, etc and then store
this values in a variable to posteriori use.
Sebastian.
2008/2/28 Martin Weiss <[email protected]>:
> Unless I am missing something, there is no question here to answer to. If
> there was one, it would be helpful to have it framed in terms of a dataset
> shipped with Stata so that the list can relate to your problem...
>
> Martin Weiss
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> SSRN: http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=669945
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Sebastian Kruk
> Sent: Thursday, February 28, 2008 12:13 PM
> To: [email protected]
> Subject: st: totals by dpto, sex et al.
>
> Dear statlist users,
>
> I'm computing totals by departament, sex, etc, depending of survey's year.
>
> Next is program:
>
> *fabrico c85
> *fabricacion de b85
>
> local i=1991
> while `i' < 1997 {
> *Preparacion del archivo con las proyecciones
> insheet using "D:\utiles\trimestrestodos.csv", clear
> keep if anio==`i'
> drop v*
> sort agegp e1 trimestre
> save D:\utiles\using`i', replace
> *Uso archivo del INE
> *uso archivo del IEcon
> *use "d:\personas\p`i'.dta", clear
> *use "D:\utiles\p95.dta", clear
> *drop aniosed-lp02
> *ren nivel pe141
> *ren finalizo pe15
> *keep pe* pobpcoac pf* pg* ph* pt1 pt2 pt3
> use d:\personas\p`i'.dta, clear
> ren pe3 e2
> ren pe1c dpto
> ren pe2 e1
> ren pe1b semana
> ren pe1a anio
> replace anio=`i'
> ren pe1g loc
> *como hay cuatro casos en los cuales el valor de la variable sexo es
> 0 se van a eliminar. Adem�s en los cuatro la edad es cero por lo cual
> no tienen ingresos.n dos casos y por 2 en los otros dos.
> drop if e1==0
> *drop if e2==.
> sort dpto loc
> merge dpto loc using "D:\utiles\b85.dta", uniqusing nokeep
> _merge(_merge1)
> replace borrar=1 if dpto==1
> drop if borrar == 0
> *union con la proyeccion y obtencion de la poblacion expandida
> gen trimestre=1
> replace trimestre=2 if inrange(semana, 13,24)
> replace trimestre=3 if inrange(semana, 25,36)
> replace trimestre=4 if semana >36
> egen agegp=cut(e2),
> at(0,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,100)
> label define agegp 0 "0-4" 5 "5-9" 10 "10-14" 15 "15-19" 20 "20-25"
> 25 "25-29" 30 "30-34" 35 "35-39" 40 "40-44" 45 "45-49" 50 "50-54" 55
> "55-59" 60 "60-64" 65 "65-69" 70 "70-74" 75 "75-79" 80 "80+"
> sort e1 trimestre agegp
> bysort e1 trimestre agegp: gen N_e1_trimestre_agegp=_N
> joinby e1 trimestre agegp using "d:\utiles\using`i'.dta",
> unmatched(master)
> gen expansor = proyeccion / N_e1_trimestre_agegp
> save "d:\personas\final`i'.dta", replace
> forvalues x = 1(1)5 {
> egen y`x' = rowtotal(pg`x'?p) if pobpcoac<21
> gen e_y`x' = 3*expansor*(y`x')
> forvalues t=1(1)4 {
> egen e_y`x'`t'=total(e_y`x')if trimestre==`t'
> }
> }
> foreach x of numlist 1 2 {
> gen b`x' = pg`x'4p+pg`x'5p if pobpcoac<21
> gen e_b`x' = 3*expansor*(b`x')
> forvalues t=1(1)4 {
> egen e_b`x'`t'=total(e_b`x')if trimestre==`t'
> }
> }
> forvalues x = 1(1)5 {
> forvalues t=1(1)4 {
> egen e_y_`x'`t'=max(e_y`x'`t')
> }
> }
> forvalues x = 1 (1) 2 {
> forvalues t=1(1)4 {
> egen e_b_`x'`t'=max(e_b`x'`t')
> }
> }
> forvalues t=1(1)4 {
> gen
> masa_tri_`t'=e_y_1`t'+e_y_2`t'+e_y_3`t'+0.73*e_y_4`t'+0.4*e_y_5`t'
> gen masa_tri_`t'_sbs=masa_tri_`t'-(e_b_1`t'+e_b_2`t')
> }
> keep masa*
> keep in l
> gen anio=`i'
> save d:\utiles\masa`i', replace
> local i = `i' + 1
> }
>
> Thanx,
>
> Sebasti�n Kruk.
>
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