You want
... if husband == 1 | wife == 1
Otherwise put, | gives you unions, & gives you intersections.
Nick
[email protected]
Nirina F
Dear Nick,
Also, husband's age, wife's age etc... were created using if wife==1&
husband==1, so even if I don't use the constraint "if wife==1&
husband==1", I get 0 observation.
I am stuck with my definition.
On 3/7/08, Nirina F <[email protected]> wrote:
> I am sorry Nick, I meant sex==0 is male and I had it correct in my do
> file but somehow I had it 1 here.
> So after I generate these and then run reg with if wife==1 &
> husband==1, I get 0 observation because the union of the two is zero.
>
>
> On 3/6/08, Nick Cox <[email protected]> wrote:
> > It seems that you have data on individuals, some male, some female;
> > some husbands, some wives, some other categories.
> >
> > Your definitions are
> >
> > gen wife = ms == 2 & sex == 1 & head == 2
> >
> > gen husband = ms == 2 & sex == 1 & head == 1
> >
> > I assume here heterosexual marriages. Hence a husband must
> > be male. So sex == 1 is wrong to define husbands if, as you say,
> > that designates females.
> >
> > Nick
> > [email protected]
> >
> > Nirina F
> >
> > Dear Nick,
> > I looked at what you put together on Stata faqs
> > http://stata.com/support/faqs/data/members.html
> > so could you may be help me in this.
> > I have one dataset so I don't need to merge but to separate members
of
> > household out but then be able to run a
> > reg income ageofwife ageofhusband schoolingofwife fe
> > This is how I defined
> >
> > gen wife=0
> > replace wife=1 if ms==2 & sex==1 & head==2
> >
> > [ms is marital status, taking value 2 if married
> > sex is gender, taking value 1 if female
> > head is the relationship to hh head, taking value 2 if wife]
> >
> > gen husband=0
> > replace husband=1 if ms==2 & sex==1 & head==1
> >
> > I have one dataset so I don't need to merge but to separate members
of
> > household out but then be able to run an equation like:
> >
> > reg income ageofwife ageofhusband schoolingofwife schoolingofhusband
> >
> > I know something is wrong with my definition above because I get 0
> > observation when I run the regression.
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