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Re: st: AW: Help with ologit


From   "Daniel J. Quinones" <Daniel.Quinones@cgu.edu>
To   Stata <statalist@hsphsun2.harvard.edu>
Subject   Re: st: AW: Help with ologit
Date   Mon, 14 Dec 2009 08:33:12 -0800

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" <Richard.A.Williams.5@ND.edu> 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:  Richard.A.Williams.5@ND.Edu
> WWW:    http://www.nd.edu/~rwilliam
> 
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