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RE: st: Re: How to extract and recode variables in a multiple member household survey


From   ra248@columbia.edu
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: Re: How to extract and recode variables in a multiple member household survey
Date   Fri, 11 Feb 2005 10:44:04 -0500

Thank you very much Nick and Friedrich. I will try the -reshape- as
you both suggested.

Regina

Quoting Nick Cox <n.j.cox@durham.ac.uk>:

> In addition, your example shows that you
> want to zap the originals once they have
> been copies, so that you
> would need two extra lines in your
> loop:
>
> 	replace S_`M' = . in `i'
> 	replace A_`M' = . in `i'
>
> If I were doing this, I would -reshape-, as Friedrich
> suggested. That would be easier if you used names S_0
> and A_0 rather than SA and MA. That way it would be
> easy to sort mothers to the start of each block of
> observations.
>
> Nick
> n.j.cox@durham.ac.uk
>
> n j cox
>
> > Friedrich's advice is very good. Nevertheless here is one way
> to
> > do what you want:
> >
> > gen SA = .
> > gen MA = .
> > qui forval i = 1/`=_N' {
> > 	local M = Mom[`i']
> > 	replace SA = S_`M' in `i'
> > 	replace MA = A_`M' in `i'
> > }
> >
> >  >>> ra248@columbia.edu
> >
> > The variables S_i, A_i represent characteristics of household
> member
> > i.  The column Mom gives me the underscored value of where the
> Mom's
> > characteristics are. For instance, in the first household, the
> mom's
> > characteristics are S_2 and A_2 cause Mom takes the value 2. In
> the
> > second household, Mom is in S_1 and A_1...
> >
> > Id   Mom   S_1   A_1   S_2   A_2   S_3   A_3 ... S_46   A_46
> > 1      2     0    24     0    22     1    12 ...   0      67
> > 2      1     1    29     0    32     0     8 ...   .       .
> > .
> > .
> > 20     3     1    76     0    75     0    46 ...   1      41
> > .
> > .
> >
> > What I want to create is the following:
> >
> > Id  Mom  S_1  A_1  S_2  A_2  S_3  A_3 ... S_46  A_46  SA   MA
> > 1     2    0   24    .    .    1   12 ...    0    67   0   22
> > 2     1    .    .    0   32    0    8 ...    .     .   1   29
> > .
> > .
> > 20    3    1   76    0   75    .    . ...    1    41   0   46
> >
>
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