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st: RE: constraint in regression and forval
From
"Nick Cox" <[email protected]>
To
<[email protected]>
Subject
st: RE: constraint in regression and forval
Date
Mon, 22 Mar 2010 18:03:30 -0000
Try
constraint 1 dumy97 = `= xalea[`i']'
Nick
[email protected]
SCHOUMAKER Bruno
I want to run a series of 100 constrained regressions with different
constraints randomly selected from a normal distribution
I tried use the following program, but it looks like the constriant is
ignored. When I define the constraint to be equal to a number (eg.
constraint 1 dumy97=0.03), it works... but I want the constraint to
change automatically.
Has anyone an idea on how I could do this (use randomly selected
constraints for a large number of models) ?
Thank you in advance
Bruno
*****
generate xalea = rnormal()*0.0645+0.028
forvalues i = 1(1) 100 {
constraint 1 dumy97 = xalea[`i']
xi: poisson _d i.ageg rcsp1-rcsp4 v1-v4 dumy97, exposure(exposy)
const(1)
}
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