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st: constraint in regression and forval
From
SCHOUMAKER Bruno <[email protected]>
To
[email protected]
Subject
st: constraint in regression and forval
Date
Mon, 22 Mar 2010 18:42:49 +0100
Hello,
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)
}
--
Bruno SCHOUMAKER
Centre de recherche en démographie et sociétés
Université catholique de Louvain
1-17 PLace Montesquieu
1348 Louvain-la-Neuve
BELGIUM
Tel. +32 10 474136
Fax. +32 10 472952
[email protected]
www.uclouvain.be/demo
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