st: Re: Re: RE: weight and easier way

["Michael Blasnik" <michael.blasnik@verizon.net>]

...

Woops, typo on last line -- replace it with:

gen corrector=N_dpto_el/(proyection*N_dpto_agegp_el)

Michael

----- Original Message ----- 
From: "Michael Blasnik" <michael.blasnik@verizon.net>
To: <statalist@hsphsun2.harvard.edu>
Sent: Thursday, July 12, 2007 7:59 AM
Subject: st: Re: RE: weight and easier way



> ...
> I'm not sure exactly what you are doing, but it doesn't seem like you need a 
> loop at all, or even many commands.
>
> 1) Create the agegp variable and save the master dataset.
>
> 2) Create a dataset with the "proyection" constants by department and gender. 
> It should have three variables: dpto, el, and  proyection.  Sort it by dpto el 
> before saving it as proyection.dta
>
> Then:
>
> use masterdata
> bysort dpto agegp el: gen N_dpto_agegp_el=_N
> bysort dpto el: gen N_dpto_el=_N
> merge dpto el using proyection, nokeep
> gen corrector=N_dpto/(proyection*N_dpto_agegp_el)
>
>
> Michael Blasnik
>
> ----- Original Message ----- 
> From: "Sebastian Kruk" <residuo.solow@gmail.com>
> To: <statalist@hsphsun2.harvard.edu>
> Sent: Thursday, July 12, 2007 7:39 AM
> Subject: st: RE: weight and easier way
>
>
>
> > Hi dear statalist users,
> >
> > I have been in vacation but I work anyway.
> >
> > Do you remember my problem?
> >
> > I have a households survey and population proyections.
> >
> > All the weights are wrong.
> >
> > Some of my varriables are:
> <snip>
> > Weights in microsurvey are wrong, It must be corrected by new one
> > using population proyections.
> >
> > I do the next but I have problems using a loop.
> >
> > *Make a categorical variable for group of age:
> >
> > egen agegp=cut(e2), at
> > (0,1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100)
> >
> > *Put labels
> >
> > label define agegp 0 "0" 1 "1-4" 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
> > "80-84" 85 "85-89" 90 "90-94" 95 "95+"
> >
> > *Compute number of men by group of age and departamento (means state in 
> > English)
> >
> > egen n_h_0=total(agegp==0 & e1==1), by (dpto)
> > egen n_h_1=total(agegp==1 & e1==1), by (dpto)
> <snip>
> > egen n_h_95=total(agegp==95 & e1==1), by (dpto)
> >
> > *Computo total men by departemanto
> > egen h_dpto=rowtotal(n_h_*)
> >
> > *Repit for women
> > egen n_m_0= total(agegp==0 & e1=!1), by (dpto)
> > …………………………………………………..
> > egen n_m_95=total(agegp==95 & e1=!1), by (dpto)
> > egen m_dpto=rowtotal(n_m_*)
> >
> > *Make a constan equals men's proyection by departamento
> >
> > gen h_1_p=643547
> > gen h_2_p=
> > …………………..
> > gen h_19_p=
> >
> > *Repet for women
> > gen m_1_p=
> > gen m_2_p=
> > …………………..
> > gen m_19_p=
> >
> > *Compute annual men expansor by departemanto
> > gen corrector=h_dpto/(h_1_p*n_h_0) if  e1==1 & agegp==0
> > replace corrector=h_dpto/(h_1_p*n_h_1) if  e1==1 & agegp==1
> <snip>
> > replace corrector=h_dpto/(h_1_p*n_h_95) if  e1==1 & agegp==95
> >
> > *Repet for women
> > replace corrector=h_dpto/(h_1_p*n_h_0) if  e1==1
> >
> > Bye,
> >
> > Sebastian.
> *
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