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dear listers,
I am working on a ml-evaluator and I'm a litte confused by the
documentation. My estimator has to deal with panel data and survey-data
adjustment and I need to use the mata function cvpermute() to evaluate
the log-likelihood. Does that mean that if want to implement the
evaluator directly in mata, I need to implement it as an v-evaluator?
From the examples in Gould, Pitbaldo and Sribney (2006): ML estimation
with Stata in chapter 4.5 I get the impression that I can implement the
evaluator with ml as an lfs-evaluator and add the mata-function in the
stata evaluator. Is this correct?
regards
Klaus
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__________________________________
Klaus Pforr
MZES AB - A
Universität Mannheim
D - 68131 Mannheim
Tel: +49-621-181 2801
fax: +49-621-181 2803
URL: http://www.mzes.uni-mannheim.de
Besucheranschrift: A5, Raum A312
__________________________________
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