Revealing my ignorance of the mathematical proofs, I'm struggling to
get a grip on exactly what the Grouped Logit function does and how it
should be used appropriately. Specifically I wonder about the use of
count vs. proportion variables on both the left and right hand side.
the command is (of course)
glogit depvar denominator list_of_covariates
Also, I assume that what this does (in layman terms) is essentially
weight each row by the relative size of that observation compared to
the size of the other observations. In my case I have observations by
county and running the regression for the full US... i.e. I have some
3200 observations representing all use households.
