<>
These are -ssc- commands. Type - ssc install margeff- and -ssc install mfx2-
to get them...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Daniel J.
Quinones
Gesendet: Montag, 14. Dezember 2009 17:33
An: Stata
Betreff: Re: st: AW: Help with ologit
Are the syntax simply "margeff" and "mfx2" or do I have to add any variables
(assuming I have just run the model? The suggestions come up as
"unrecognized command."
On 12/14/09 8:27 AM, "Richard Williams" <[email protected]> wrote:
> At 11:06 AM 12/14/2009, Daniel J. Quinones wrote:
>> I am using Stata 10.1.
>> At first I was simply using "mfx compute," as I had done with a probit
>> model. I am now using "mfx compute, predict outcome(#))" where #
represents
>> an outcome of my dependent variable. The latter method provides results.
>
> Again, -margeff- or -mfx2- can simplify your life, by automating the
> process so you get every outcome with a single command. -margeff- is
> also faster than -mfx- and offers additional powerful options.
>
>> Is there a function for ologit similar to what lstat does for probit
>> (specifically to get a % for correctly predicted)? I would like to get
some
>> idea of my model's reliability.
>
> Not to my knowledge. I've never been that fond of -lstat-
> anyway. Especially if the outcome is relatively rare, or common, you
> can wind up having all the cases be predicted as a 1 or else as a 0.
>
> You might consider the -leastlikely- command, which is part of Long
> and Freese's -spost9- package. It will help to identify those cases
> where the model seems to be having the most trouble.
>
>
> -------------------------------------------
> Richard Williams, Notre Dame Dept of Sociology
> OFFICE: (574)631-6668, (574)631-6463
> HOME: (574)289-5227
> EMAIL: [email protected]
> WWW: http://www.nd.edu/~rwilliam
>
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