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st: Applying DESMAT to Log-linear saturated models
I have a somewhat technical question.
At the UCLA Stata FAQ site, it can be read that Hendrickx's
DESMAT be used to generate a saturated model for
Agresti's afterlife data.
However, isn't this inappropriate when fitting a saturated model
for a contingency table? Using DESMAT POISSON would indicate
that count is the dependent variable with error terms poisson distributed.
In addition to that, the output shows "model degrees of freedom=11",
the saturated model has 0 df by definition as it fits the data perfectly.
Maybe I am so wrong or stupid or both that I don't get it, but I'd really
appreciate your comments.
Marcus Matthias Keupp, Dipl.-Kfm.
University of St. Gallen
Institute of Technology Management
CH-9000 St. Gallen / Switzerland
Tel. +41 (0)71 224 7236
Fax +41 (0)71 224 7301
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