It would seem more straightforward,
and more appropriate, to fit
areg y1 x1 x2 con, absorb(hhno) cluster(hhno)
which provides your test directly -- unless
I am missing some subtlety here.
Nick
[email protected]
Dawit Lidia
> I am running the following types of regressions
>
> areg y1 x1 x2 if con ==1, absorb(hhno) cluster(hhno)
> predict conhat if con ==1, xbd
>
> areg y2 x1 x2 if con ==0, absorb(hhno) cluster(hhno)
> predict wconhat if con ==0, xbd
>
> y1 and y2 are dependent variables and xs are independent variables.
>
>
> I want to test if there is mean difference between the two
> predicted values
> uisng simple 'ttest'.
>
> My question is, do I need to correct standard errors(se) of
> the 'ttest'
> since the observed ys are not independent. If the answer is
> yes, would you
> please suggest me how i can correct it or any other
> altenative test that can
> adjust se.
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