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Re: st: Multinomial Logit vs. Regression with dummy


From   "Clive Nicholas" <Clive.Nicholas@newcastle.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Multinomial Logit vs. Regression with dummy
Date   Thu, 17 Jun 2004 19:20:27 +0100 (BST)

Sugie Lee wrote:

> 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
> .listcoef
>
> I want to see differences of population density between cities.
> "listcoef" command immediately after "mlogit" will give me these
> differences.
>
> My question is whether I can use mlogit for this case?

Not if your real research question is "what affects population density?",
which I suspect is what you really want to ask. If so, using -mlogit- with
cities as the dependent variable strikes me as a bizarre approach: asking
the question "does density affect the probability of a city being a city
(or being the city that it actually is)" makes little sense, to me at
least. In my opinion, the OLS formulation you provided is much more
sensible, so try that and work from there.

CLIVE NICHOLAS        |t: 0(044)191 222 5969
Politics              |e: clive.nicholas@ncl.ac.uk
Newcastle University  |http://www.ncl.ac.uk/geps
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