--- On Tue, 22/12/09, Ekrem Kalkan wrote:
> in my case every equation has 860 number of
> observartion.
I interpret that as meaning that your dataset contains
860 observations, and you are estimating a model with
14 equations, is that correct? In that case you have
only 860/14= 61.4 observations per equation, which was
my point.
> Still, I think there should be a different
> reason rather than degrees of freedom.
I think degrees of freedom is the reason why you get
negative likelihood ratio statistics. Remember that
the reasoning behind the likelihood ratio test is
asymptotic, so strictly speaking it is only valid in
case of a infinitly large sample. What sample size is
close enough to infinity depends on the kind of
information you are trying to extract from: the more
complex the information you are trying to extract the
larger the sample size needs to be.
Hope this helps,
Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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