Thank you so much for reply. BTW, Sorry I didn't make myself clear in the
previous question that I was actually looking for commands to constraint
these estimates in multinomial situations.
So, again using the hypothetical example:
Dependant variable: PAR
Independent variables: e1, e2, e3, race, earn1, earn2, earn3.
If I want to constraint estimates of my earn variables only, ie.
earn1=earn2=earn3.
What's the appropriate command I shall be using in the multinomial
situation? Thanks again for all suggestions in advance.
Regards,
Hannah
--On Monday, September 16, 2002 2:33 -0400 Hannah wrote:
I have rephrased my question and hope to get more suggestions.Let say my
dependant variable: PAR
Independent variables: e1, e2, e3, race, status, earn1, earn2,
earn3. If I want to constraint estimates of my earn variables only, ie.
earn1=earn2=earn3.
What's the appropriate command I shall be using? Thanks for all
suggestions in advance.
----
Presuming that you are using linear regression,
g totearn = earn1 + earn2 + earn3
reg par e1 e2 e3 race status totearn
does this by substituting the constraint into the model.
Alternatively,
cons def 1 earn1=earn2
cons def 2 earn1=earn3
cnsreg par e1 e2 e3 race status earn*, c(1 2)
Since you are applying two constraints to the coefficient vector
(i.e. if you ran the unconstrained regression and tested
earn1=earn2=earn3, you would be doing an F with 2 and ? d.f.), you
must define two constraints.
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