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st: RE: Multinomial Logit vs. Regression with dummy
You say you want to see differences between three cities.
Presumably there are several data for each city (census
tracts, or whatever). In this case, a graph will
surely be the first thing to try and something like
-tabstat- the second thing to try. After these, a more
formal modelling approach is superfluous or dubious or
both. In addition to comments made by other people,
note that your density values will surely be spatially
autocorrelated. This makes any P-values coming out of
almost any formal model without a spatial
element close to nonsensical.
> I want someone to help me on a following question.
> Let's suppose we have three cities (city A, city B, city C).
> And we have just one variable which is population density(POPDEN)
> I may try regular regression as follows:
> .reg POPDEN dummy(city A) dummy(city B)
> What if I use multinomial logit?
> In this case, the dependent variable is "CITY"(A,B,C)
> .mlogit CITY POPDEN
> I want to see differences of population density between cities.
> "listcoef" command immediately after "mlogit" will give me these
> My question is whether I can use mlogit for this case?
> If mlogit is possible for this case, I will do analysis with more
> independent variables as follows:
> .mlogit CITY POPDEN INDEP2 INDEP3 INDEP4
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