I agree largely with Daniel here, although
a bigger difficulty is that I don't understand
your specific questions.
Nevertheless given your code note that
you could define your dummies much more concisely:
First,
if year==1986 | year==1987 | year==1988 | year==1989 |
year==1990 | year==1991 | year==1992 | year==1993 | year==1994 |
year==1995
collapses to
if inrange(year, 1986, 1995)
so that the code then looks like
gen pre96=0
replace pre96= 1 if inrange(year, 1986, 1995)
Second, that in turn collapses to
gen pre96 = inrange(year, 1986, 1995)
Similarly
gen pos86 = inrange(year, 1996, 2002)
However, it would seem that you wouldn't
normally need both these dummies.
Nick
[email protected]
Tae Hun Kim
> Yes, I know this question is not directly related to State program.
> But I need someone's help to understand the problem.
>
> The Ststa code to generate dummy variables is
> **dummy variable
> gen pre96=0;
> replace pre96=1 if year==1986 | year==1987 | year==1988 | year==1989 |
> year==1990 | year==1991 | year==1992 | year==1993 | year==1994 |
> year==1995;
> gen post96=0;
> replace pos96=1 if year==1996 | year==1997 | year==1998 | year==1999 |
> year==2000 | year==2001 | year==2002;
>
> **interactive term
> gen pre96s=pre96*smom;
> gen post96s=post96*smom;
Daniel Lawson
> > This doesn't sound like a Stata-specific question. You
> might get more
> > or better responses to this question if you asked this question in
> > another forum.
> >
> > In terms of Stata code, how did you generate your dummy variable?
Tae Hun Kim
> > > I would be greatfull if someone helps me to understand
> dummy variables.
> > >
> > > For example,
> > > Y= a+b*X+c*dum+d*(X*dum)+e
> > > where Y : income, X : education(years), dum=dummy
> variable (dum=1 if
> > > male, dum=0 if female)
> > >
> > > If I estimate this equation using OLS, recalulated
> coefficents are the
> > > same regardless of whether dum=1 if male (0 otherwise) or
> dum=1 if
> > > female(0 otherwise).
> > > i.e. if I define a dummy variable as dum=1 if male, o otherwise
> > > male(1) : E(Y)= (a+c)+(b+d)X, female(1) : E(Y)=a+bX
> > > if I define a dummy variable as dum=1 if female, o otherwise
> > > male(2) : E(Y)=a+bX, female(2) : E(Y)=
> (a+c)+(b+d)X
> > > =>the coefficients of male(1) and male(2) equation are the same.
> > >
> > > (Question)
> > > 1. But when I estimate this equation using GMM or IV, the
> coefficients
> > > of male(1) and male(2) equation are not the same. Why?
> > > 2. If the coefficient are different, what is the criteria
> to define a
> > > dummy variable(male=1 or female=1) ?
> > >
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