[R] Hi,
Chong Gu
chong at stat.purdue.edu
Wed Jan 30 05:15:13 CET 2002
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Date: Tue, 29 Jan 2002 21:18:40 -0500
From: "Michael Roberts" <mroberts at ers.usda.gov>
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Hi,
Sorry for the confusion.
I would like to estimate a model wherein
the marginals of z with respect to w1 and w2
are smooth functions of x and y. I have data
on z, x, y, w1 and w2.
so E[dz/dw1] = f(x,y) and E[dz/dw2] = g(x,y)
and I would like to estimate f(x,y) and g(x,y)
I suppose I could try to fit something more general
using projection pursuit, but the nature of the problem
suggests the above structure.
For some reason I thought
x:y:z
would fit just the interaction term
xyz
and not expend to
x + y + z + xy +xz + yz + xyz
like x*y*z, which is why I wrote it the way I did.
So maybe it should have bern written
y ~ I(f(x,y)*w1) + I(g(x,y)*w2) + e
e is a symmetric random error.
This seems identifiable to me, but am I missing something?
Michael J. Roberts
Resource Economics Division
Production, Management, and Technology
USDA-ERS
(202) 694-5557 (phone)
(202) 694-5775 (fax)
gss would in principal fit y~x*y*w1+x*z*w2 for you, but the current
algorithm is too slow for the sample size needed for fitting such a
model successfully.
As for identifiability, the current form MIGHT be okey, but are you
sure y=e for w1=w2=0?
Chong Gu
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