i think a better way to go might be to look at predictions instead of all
these statistics. do either of the models predict the data better? you can
do things like cross-validation or training data...
2009/3/24 sparsha saha <sparshahoneysaha at gmail.com>
sorry, so obviously you want smaller residuals...but
is this how we should
think about fit? so if the residuals are smaller with one model
specification (say 10 explanatory variables) does that make it automatically
better than the one with 12 explanatory variables? what are other
diagnostics that we can run (on negative binomial models or in general that
work for all types) to check to see what specification is actually "better"?
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Patrick Lam
Department of Government and Institute for Quantitative Social Science,
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http://www.people.fas.harvard.edu/~plam