Camilla Andersson wrote:
Does anyone know how to estimate a nonlinear seemingly unrelated
regressions model in Stata?
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Take a look at either of the following two posts, and see if it points you
in the right direction.
http://www.stata.com/statalist/archive/2004-01/msg00816.html
http://www.stata.co.uk/statalist/archive/2003-10/msg00820.html
I noticed that your first post on this described the particulars:
"Is it possible to estimate SUREG when the regressions are nonlinear in the
parameters?
I want to estimate a system that looks like this:
Y1=exp(alfa1 X1)*( beta1+beta2 X2)
Y2=exp(alfa1 X3)*( beta1+beta2 X4)
How can I do this?"
The coefficients are the same between the two equations (as if a
multivariate nonlinear regression); would -nl , cluster()- get you close
enough to where you need to go?
Joseph Coveney
clear
set more off
set obs 100
set seed `=date("2006-08-31", "ymd")'
forvalues i = 1/4 {
generate float x`i' = uniform()
}
local alpha1 1
local beta1 2
local beta2 3
generate float y1 = (`beta1' + `beta2' * x2) * ///
exp(`alpha1' * x1) + invnorm(uniform())
generate float y2 = (`beta1' + `beta2' * x4) * ///
exp(`alpha1' * x3) + invnorm(uniform())
*
* Begin here
*
rename x1 x10
rename x3 x11
rename x2 x20
rename x4 x21
rename y1 y0
rename y2 y1
generate byte id = _n
reshape long x1 x2 y, i(id) j(rep)
nl (y = ( {beta1} + {beta2} * x2 ) * exp( {alpha1} * x1) ), cluster(id)
exit
*
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