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st: moptimize gf evaluator
From
Klaus Pforr <[email protected]>
To
[email protected]
Subject
st: moptimize gf evaluator
Date
Mon, 15 Nov 2010 15:21:52 +0100
<>
Dear Listers,
I posted this already a few days ago, but obviously put my question to
complicated to receive any answers. Is it true, that the gf type
evaluator for moptimize expects a score matrix of dimension L x K, with
L being the the number of independet elements and K being the number of
coefficients? I do not understand how I can derive such a matrix with
panel data, for which this evaluator type is recommended. Is this a
matrix of dL[j]/dbeta[i], with L[j] being the log likelihood
contribution of panel group j derived with respect to beta coeffient i?
best regards
Klaus Pforr
--
__________________________________
Klaus Pforr
MZES AB - A
Universität Mannheim
D - 68131 Mannheim
Tel: +49-621-181 2801 (nachmittags)
fax: +49-621-181 2803
URL: http://www.mzes.uni-mannheim.de
Besucheranschrift: A5, Raum A312
__________________________________
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