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
_________________________________________________________________
Diplom-Kaufmann Martin Weiss
Mohlstrasse 36
Room 415
72074 Tuebingen
Germany
Fon: 0049-7071-2978184
Home: http://www.wiwi.uni-tuebingen.de/cms/index.php?id=1130
Publications: http://www.wiwi.uni-tuebingen.de/cms/index.php?id=1131
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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