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Re: st: -merge- which one would make sense?


From   "Nirina F" <fstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: -merge- which one would make sense?
Date   Thu, 22 May 2008 14:30:30 -0400

Thank you very much,
Nirina

On 5/22/08, David Bell <dcbell@iupui.edu> wrote:
> Nirina-
>
> I am assuming that there are only two persons in a household for whom
> maritalstatus==1 (no married grandmother-grandfathers).  If so, you don't
> need to save and merge.  You can just do -keep if maritalstatus==1-.  At
> this point sex identifies spouses (unless you have any same-sex marriages).
> If you have multiple marriages within a household, you would need to do
> something to distinguish them, for example giving each marriage a different
> variation on the original hhid.
>
> The essential question for what to do depends on what sort of analyses you
> intend.  Clearly, you can analyze the married study participants as
> individual cases; you would probably want to use -, cluster(hhid)- options
> to adjust variances for within household similarities.
>
> If you want to do dyadic analyses (husband's values affect wife's and vice
> versa), you need to do something as the following:
> ***
> sort hhid sex /* So husbands and wives are in the same order in each family
> */
> by hhid: gen spouseVar = ownVar[_n+1] if sex==1
> by hhid: replace spouseVar = ownVar[_n-1] if sex==2
> ***
>
> Hope this helps.
> Dave
> ====================================
> David C. Bell
> Professor of Sociology
> Indiana University Purdue University Indianapolis (IUPUI)
> (317) 278-1336
> ====================================
>
>
>
>
> On May 22, 2008, at 6:02 AM, Nirina F wrote:
>
> > Dear Friedrich,
> >
> > Thank you again for responding.
> >
> > My problem is that I do not have a relationship to household head but
> > I only have the line number of each respondent.
> >
> > Nirina
> >
> > On 5/21/08, Friedrich Huebler <fhuebler@gmail.com> wrote:
> >
> > > Nirina,
> > >
> > > Let's say we have the household below. Assume that the two
> > > 40-year-olds are married and that the 50-year-old man is married to
> > > the 30-year-old woman. Your code merges the 50-year-old man with the
> > > 40-year-old woman and the 40-year-old man with the 30-year-old woman,
> > > which would be wrong. Given only the data below it is not possible to
> > > identify married couples. You need something like line number of the
> > > spouse.
> > >
> > > hhid sex age maritalstatus
> > > 1    1   50  1
> > > 1    1   40  1
> > > 1    2   40  1
> > > 1    2   30  1
> > > 1    1   5   0
> > > 1    2   3   0
> > >
> > > It may help if you read two Stata FAQs about data on families.
> > >
> > > http://www.stata.com/support/faqs/data/members.html
> > > http://www.stata.com/support/faqs/data/anyall.html
> > >
> > > Friedrich
> > >
> > > On Wed, May 21, 2008 at 6:52 PM, Nirina F <fstata@gmail.com> wrote:
> > >
> > > > Dear David and Friedrich,
> > > >
> > > > You are right, within one household, there are the wife and husband,
> > > > children and other people like mother of husband.
> > > > This is the code I used originally:
> > > >
> > > > Using the original data:
> > > >
> > > > keep if sex==1 & maritalstatus==1
> > > > foreach x of var * {
> > > >      rename `x' h_`x'
> > > > }
> > > >
> > > > gen hid=h_hhid
> > > > sort hid
> > > > save  husband.dta
> > > >
> > > > keep if sex==2 & maritalstatus==1
> > > > foreach x of var * {
> > > >      rename `x' w_`x'
> > > > }
> > > > gen hid=w_hhid
> > > > sort hid
> > > > save wife.dta
> > > > merge using husband.dta
> > > >
> > > > I also tried to include line number of respondent after each -keep-
> > > > but it does not give me the answer where answers from husband on hh
> > > > characteristics should match wive's.
> > > > I am looking into details of what I have.
> > > > thank you,
> > > > nirina
> > > >
> > > >
> > > >
> > > > On 5/21/08, Friedrich Huebler <fhuebler@gmail.com> wrote:
> > > >
> > > > > Nirina,
> > > > >
> > > > > Further to my earlier question, I assume you have a variable that
> > > > > identifies the marital status of each household member. Your
> > > > > description is not clear but from what I understand you selected men
> > > > > and women whose marital status is "married" and then assumed that a
> > > > > married man and a married woman in the same household are each
> other's
> > > > > spouse. Is this what you did? What did you do with households with
> > > > > more than one married man and woman?
> > > > >
> > > > > Other possibilities are that you have a variable with the line
> number
> > > > > of each household member's spouse or a variable that describes the
> > > > > relationship to the household head. Either way, we need more
> > > > > information in order to help you.
> > > > >
> > > > > Friedrich
> > > > >
> > > > > On Wed, May 21, 2008 at 10:56 AM, Friedrich Huebler
> <fhuebler@gmail.com> wrote:
> > > > >
> > > > > > Nirina,
> > > > > >
> > > > > > First, please include the Stata commands you used.
> > > > > >
> > > > > > Second, how do you identified husbands and wives? A married man
> and a
> > > > > > married woman living in the same household are not necessarily
> married
> > > > > > to each other.
> > > > > >
> > > > > > Friedrich
> > > > > >
> > > > > > On Wed, May 21, 2008 at 8:29 AM, Nirina F <fstata@gmail.com>
> wrote:
> > > > > >
> > > > > > > Hello,
> > > > > > > I have a microdataset with 5000 individuals. In the data, I have
> > > > > > > household questionnaires and individual questionnaires together,
> pid,
> > > > > > > hhid.
> > > > > > >
> > > > > > > I did the following scenarios and now I'm lost:
> > > > > > >
> > > > > > > 1- I separated the household(hh) questionnaire from the
> individual(i)
> > > > > > > questionnaires.
> > > > > > > I split the remaining individual questionnaires into married
> female
> > > > > > > and  married male renamed all variables accordingly.
> > > > > > > Then I merged the male and female because they are husband and
> wife by
> > > > > > > their household id. I had 2000 households
> > > > > > > Afterward, I merged the hh questionnaire. I end up back to 5000
> observations.
> > > > > > >
> > > > > > > 2- I kept the original dataset and just split into two datasets
> > > > > > > married female and  married male which I merged afterward to
> have
> > > > > > > husband and wives. I arrive at 2000 observations.
> > > > > > > When I assert if household information from husband and wife is
> the
> > > > > > > same, almost 90% of the observation is false.
> > > > > > >
> > > > > > > What do you think I should do? Which one of the two should make
> sense?
> > > > > > > Thank you very much from your help.
> > > > > > > Nirina
> > > > > > >
> > > > > >
> > > > > >
> > > > >
> > > >
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