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Re: st: predict


From   Chiara Mussida <[email protected]>
To   [email protected]
Subject   Re: st: predict
Date   Thu, 2 Jun 2011 20:46:21 +0200

On 2 June 2011 18:08, Chiara Mussida <[email protected]> wrote:
> Dear Richard and you All,
> I simply want the coefficients (of my covariates) which allow me to
> get the predicted outcome of each equation of my MNL.
>
> example: I get a predicted probability (say to move from employment to
> unemployment) of 0.4:
> what is the contribution (numerical) of each covariate I included in
> my equation (suc as sex, individual age, etc.). Is it given by the
> exponential of the coef I find in the STATA output? therefore by
> summing/subtracting the exp of each coef I get my predicted of 0.4
> (but there is also a standard error)
>
> many thanks
> C
>
> On 2 June 2011 17:08, Richard Williams <[email protected]> wrote:
>> At 07:41 AM 6/2/2011, Chiara Mussida wrote:
>>>
>>> Deal All,
>>> I run mlogit estimates and thereafter the predict command to get the
>>> predcted outcomes from the equations.
>>> Is there the possibility to obtain the fitted values of the
>>> coefficients of each covariate which determinne each predicted
>>> outcome?
>>>
>>> Thanks,
>>> Chiara
>>
>> I don't understand the question Chiara. Are you saying that, for each case,
>> you want X1B1, X2B2, etc.? Or what? Maybe you could give an example of what
>> you are after.
>>
>> If you just want the coefficients, they are ereturned as e(b). If you want
>> to do something with them, you could first do something like
>>
>> mat bmat = e(b)
>>
>> and then manipulate bmat as you wished.
>>
>>
>> -------------------------------------------
>> 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
>>
>> *
>> *   For searches and help try:
>> *   http://www.stata.com/help.cgi?search
>> *   http://www.stata.com/support/statalist/faq
>> *   http://www.ats.ucla.edu/stat/stata/
>>
>
>
>
> --
> Chiara Mussida
> PhD candidate
> Doctoral school of Economic Policy
> Catholic University, Piacenza (Italy)
>



-- 
Chiara Mussida
PhD candidate
Doctoral school of Economic Policy
Catholic University, Piacenza (Italy)

*
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