Re: st: programming maximum likelihood estimation for specific logistic function

[Matthew Baker <matthew.baker@hunter.cuny.edu>]

Miriam --

It looks to me like you just need to specify a second variable in the
"model" statement. That is:

ml model lf mylogit ( bserved= titfortat) ()

instead of

ml model lf mylogit ( bserved= titfortat)

Best,

Matt Baker

On Wed, Aug 8, 2012 at 3:24 PM, Miriam Dietrich <miri.dietrich@gmail.com> wrote:
> Hello,
>
> I want to run a maximum likelihood estimation of the following
> logistic function:
>
> L=ππ(1/(1+e^(-x/variance) ))^y (1/(1+e^(x/variance) ))^(1-y)
>
> And this is what I wrote in Stata:
>
> program define mylogit
> 1.
> . args lnf mu sigma
> 2.
> . quietly replace `lnf' = -ln(1+exp(-`mu'/`sigma')) if $ML_y1==1
> 3.
> . quietly replace `lnf' =-ln(1+exp(`mu'/`sigma')) if $ML_y1==0
> 4.
> . end
> . ml model lf mylogit ( bserved= titfortat)
> . ml maximize
>
> The problem is that Stata gives me an error message saying invalid name.
>
> I have also tried a couple of variations to understand what the
> problem might be. It works if I use:
> quietly replace `lnf' = -ln(1+exp(-`Xb')) if $ML_y1==1
> but if i use quietly replace `lnf' = -ln(1+exp(-`Xb'/`sigma')) if
> $ML_y1==1 it says unknown function.
>
> Does anyone has any ideas?
>
> Thank you very much for your help in advanced.
>
> Miriam
>
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-- 
Dr. Matthew J. Baker
Department of Economics
Hunter College and the Graduate Center, CUNY

*
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