st: Jointly testing mean differences among two groups for 2 variables using survey data

[ravi0023@umn.edu]

I am trying to post this message again from my other email account, because 
I can not see the post from my other account.....

Hello everyone!

I have a data base with 2 different test scores and two groups, a treatment 
group and a control group. I have managed to test whether the mean of each 
test scores is different among the two groups using svymean and then lincom 
in this way:

svy: mean testA, over(treatment)
lincom [testA]1-[testA]0

svy: mean testB, over(treatment)
lincom [testB]1-[testB]0

What I want to do is jointly test whether both variables (testA and testB) 
are jointly statistically different among the two groups, but incorporating 
the sample design in my estimation.

I have tryed to do this using the command "test", but it doesn't seem to 
work. I was also thinking in estimate two models like these:

testa= a + b (treatment)
testb= c + d (treatment)

and then jointly estimate whether both b and d are equal to zero. The 
problem is that I would need to use some sort of multiple-equation 
estimation in order to use "test", but I can not find an option to do that 
incorporating the sample design.

Hope somebody can help me to figure this out...

Thanks in advance!

Renato
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