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Re: st: question for hierarchical (i.e. hh & person) file


From   Susanne und Ulrich Kohler <[email protected]>
To   [email protected]
Subject   Re: st: question for hierarchical (i.e. hh & person) file
Date   Thu, 6 Oct 2005 21:17:19 +0200

Assuming that X1 contains only  0 and 1 and has no missings, you can go on as 
follows:

. by UIDhhstr (X1), sort:  gen x2 = x1[_N]

If X1 also has other values than 0 and 1 or has missings, the following should 
work:

. by UIDhhstr, sort: gen x2 = sum(X1==1)
. by UIDhhstr: replace x2 = x2[_N]>=1

My general advice here is to learn recoding with -by varlist:- and explicit 
subscripts. A possible starting point would be

SJ-2-1  pr0004  . . . . . . . . . . Speaking Stata:  How to move step by: step
        . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  N. J. Cox
        Q1/02   SJ 2(1):86-102                                   (no commands)
        explains the use of the by varlist : construct to tackle
        a variety of problems with group structure, ranging from
        simple calculations for each of several groups to more
        advanced manipulations that use the built-in _n and _N

(or take a look at  pg. 80-86 in "Data Analysis Using Stata" by Frauke Kreuter 
and myself, if you allow me that advertisement.)

many regards
Uli


On Thursday 06 October 2005 19:58, F V wrote:
> I have a very large data-set (i.e. around 60,000
> households, and around 320,000 individuals). say that
> i have three variables: a hh identifier, a person
> identifier, and an X1 variable of interest that
> measures whether a person is X1 or not.
>
>
> UIDhhstr	X1	UIDpersonstr
> 01101021	1	0110102101
> 01101021	0	0110102102
> 01101021	0	0110102103
> 01101031	1	0110103101
> 01101031	0	0110103102
> 01101031	0	0110103103
> 01101031	0	0110103104
> 01101031	0	0110103105
> 01101031	0	0110103106
>
>
> say I wanted to tell Stata: gen a variable X2 such
> that it takes the value of 1 if for any member of a
> household X1==1. how can i do this in stata? after
> generating X2, then i could collapse the data down to
> the household level.

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