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Re: st: matching childrens to mothers information


From   Maarten buis <[email protected]>
To   [email protected]
Subject   Re: st: matching childrens to mothers information
Date   Sun, 20 Jan 2008 09:23:51 +0000 (GMT)

If you would manually match a child to a mother, what variables would
you use?

--- Ana Gabriela Guerrero Serdan <[email protected]> wrote:

> Dear Maarten, 
> 
> Yes, ofcourse. The problem is that if I merge by using
> hhnumber and mothers number there is a mismatch
> because it means i merge the children dataset with its
> own number as it is indicated in the mothersnumber. I
> cant use roster number neither. 
> 
> I have created an additional identifier for each of
> them. So i can merge child rosternumb 12 with mother
> rosternum 9. Here is waht I have tried generating an
> additional id to be used for both datasets. 
> 
> In childrens dataset: 
> gen id= Mothernum
> 
> In other dataset:
> gen id=rosternum
> 
> 
> sort Hhnum id
> 
> merge Hhnum id using " dta"
> 
> but i somehow dont get the mothers variables
> adequately into the children's dataset. 
> 
> 
> txs, 
> Gaby 
> 
> --- Maarten buis <[email protected]> wrote:
> 
> > Did you take a look at -merge- ?
> > 
> > -- Maarten
> > 
> > --- Ana Gabriela Guerrero Serdan
> > <[email protected]> wrote:
> > 
> > > Dear Stata users, 
> > > 
> > > Im trying to match children information with that
> > of
> > > their mothers. I have two datasets, one includes
> > some
> > > information for all members of the household and
> > the
> > > second includes child specific information. I want
> > to
> > > be able to create a variable in the children's
> > dataset
> > > about the mothers education levels, age, etc.. 
> > > 
> > > My first dataset looks like this: 
> > > 
> > > list HHnum Rosternum Mothernum age HR07 schooling 
> > > 
> > >
> >
> +--------------------------------------------------------------+
> > > HHnum Rosternum Mothernum  sex  age    HR32
> > schooling 
> > >
> >
> --------------------------------------------------------------
> > > 1      1        .     Male     62   Not elig   Has
> > > atte 
> > > 1      2        .   Female     62   Not elig   Has
> > > atte 
> > > 1      3        .     Male     41   Not elig   Has
> > > atte 
> > > 1      4        .   Female     28   Whole qu   Has
> > > atte 
> > > 1      5        .     Male     10          .   Has
> > > atte 
> > >
> >
> --------------------------------------------------------------
> > > 1      6        .     Male      6          .   Has
> > > atte 
> > > 1      7        .     Male      5          .   
> > Has
> > > not 
> > > 1      8        .     Male     40   Not elig   Has
> > > atte 
> > > 1      9        .   Female     30   Whole qu   Has
> > > atte 
> > > 1     10        .     Male      7          .   Has
> > > atte 
> > >
> >
> --------------------------------------------------------------
> > > 1     11        .   Female      6          .   Has
> > > atte 
> > > 1     12        9     Male      0          .   
> > Has
> > > not 
> > > 1     13        .     Male     38   Not elig   Has
> > > atte 
> > > 1     14        .   Female     32   Whole qu   Has
> > > atte
> > > 1     17        .     Male     35   Not elig   Has
> > > atte 
> > > 1     18        .   Female     29   Whole qu   Has
> > > atte 
> > > 1     19        .     Male      8          .   Has
> > > atte 
> > > 1     20        .   Female      6          .   
> > Has
> > > not 
> > >
> >
> --------------------------------------------------------------
> > > 1     21       18   Female      3          .   
> > Has
> > > not 
> > > 1     22       18   Female      0          .   
> > Has
> > > not 
> > >  
> > > 
> > > So, for household 1, child 12, the mother is 9,
> > for
> > > household 1, children 21 & 22 mother is 18. 
> > > 
> > > My second dataset is basically a subset of the
> > first
> > > one but with additional children's information. 
> > > 
> > > list  Hhnum  Rosternum age    sex   Mothersnum ,
> > > etc...
> > > 
> > > +----------------------------------------+
> > >      Hhnum Rosternum age    sex   Mothersnum 
> > > ----------------------------------------
> > > 1.      1     12     Male      0         9 
> > > 2.      1     22   Female      0        18 
> > > 3.      1     21   Female      3        18 
> > > 4.      2      7   Female      1         4 
> > > 5.      2      6   Female      1         4 
> > > ----------------------------------------
> > > 6.      2      5     Male      3         4 
> > > 7.      3      8   Female      0         . 
> > > 8.      3      7     Male      3         2 
> > > 9.      8      5     Male      2         2 
> > > 10.     19      6   Female      4         2 
> > > 
> > > i have tried a few things like generating new
> > > variables  for mother's var but havent come up
> > with a
> > > way  to do so.
> > > 
> > > can you suggest anyways to best do the matches? 
> > > 
> > > thanks, 
> > > gaby  
> > > 
> > > 
> > > Gaby Guerrero Serdan 
> > > 
> > > Deparment of Economics
> > > Royal Holloway, University of London
> > > TW20 OEX
> > > Egham, Surrey
> > > England, UK
> > >
> >
> http://www.rhul.ac.uk/economics/About-Us/postgrads.html
> > > http://www.flickr.com/photos/49939890@N00/
> > > 
> > > Tel: +44 7912657259
> > > 
> > > 
> > >      
> > >
> >
>
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> > 
> > 
> > -----------------------------------------
> > Maarten L. Buis
> > Department of Social Research Methodology
> > Vrije Universiteit Amsterdam
> > Boelelaan 1081
> > 1081 HV Amsterdam
> > The Netherlands
> 
=== message truncated ===


-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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