RE: st: Multinomial logit in stata

 From Maarten buis To statalist@hsphsun2.harvard.edu Subject RE: st: Multinomial logit in stata Date Fri, 3 Mar 2006 21:37:27 +0000 (GMT)

```Al:
Say you wanted to know how the proportions of city budget spent on programs 1 till 5 dependent on
the size of the city, strength of the republican party, and the number of dogs eating hotdogs of
brand 3, than I don't see why you would need the size of the budget in order to make inference.
(the absolute amount spent on the various programs might also be of substantive interest but that
is another question)
Maarten

--- "Feiveson, Alan H. (JSC-SK311)" <alan.h.feiveson@nasa.gov> wrote:

> Maarten - But suppose I told you I had two types of coins - one that
> depend on the type of coin? If you knew the number of trials that
> produced those proportions you could do the inference. If all you were
> given were the two numbers 45 and 53, you could do nothing useful. On
> the other hand if you were given N1 sample proportions from Coin 1 and
> N2 proportions from Coin 2, you could do inference even if you did not
> know the number of flips per proportion, but you would also have to
> assume the numbers of flips were the same for each proportion otherwise
> the sample proportions would not be identically distributed. Even in
> this case, unless you had a large number of proportions per coin, you
> would sacrifice a lot in power compared to knowing the actual number of
> flips.
>
> Al
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Maarten buis
> Sent: Friday, March 03, 2006 3:07 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: RE: st: Multinomial logit in stata
>
> Alan and Albert
> Inference could be done if the unit of analysis is cities (in Alberts
> example), e.g. proportion of city budget spent on categories 1, 2, 3, 4,
> and 5. If you wanted to do the inference on lower level units
> (individuals/companies/dogs who choose to buy/eat hotdog brand 1, 2, 3,
> 4, or 5 within
> cities) than the problem is even more severe than Alan's remark suggest:
> than you also have the ecological inference problem. See for example:
> http://www.stat.columbia.edu/~cook/movabletype/archives/2006/03/the_ecol
> ogical.html . Note that the Papke and Wooldridge paper I reccomended
> falls in the ecological inference trap.
> HTH,
> Maarten
>
> --- "Feiveson, Alan H. (JSC-SK311)" <alan.h.feiveson@nasa.gov> wrote:
> > Unless you had repeated observations for the same covariate pattern, I
>
> > don't see how proportions alone would be enough information to do
> > proper inference. Those same proportions could have arisen from 100,
> > 1000 or 100000 observations. Clearly the inference would be different
> > for those situations.
>
> -----------------------------------------
> between 1/2/2006 and 31/3/2006 I will be visiting the UCLA, during this
> time the best way to reach me is by email
>
> Maarten L. Buis
> Department of Social Research Methodology Vrije Universiteit Amsterdam
> Boelelaan 1081
> 1081 HV Amsterdam
> The Netherlands
>
> Buitenveldertselaan 3 (Metropolitan), room Z214
>
> +31 20 5986715
>
> http://home.fsw.vu.nl/m.buis/
> -----------------------------------------
>
>
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-----------------------------------------
between 1/2/2006 and 31/3/2006 I will be
visiting the UCLA, during this time the
best way to reach me is by email

Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

Buitenveldertselaan 3 (Metropolitan), room Z214

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------

___________________________________________________________
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```