[Limdep Nlogit List] Multinomial Probit Model

[Abdulbaki Bilgic]

Merhaba Ozge,
Oncelikle hangi degiskenlerinin "Attributes" ve hangi degiskenlerinin
de "Characteristics" oldugunu sizlerin onceden bilmeniz gerekiyor.
Bunlar belirlendikten sonra LIMDEP' de multinomial logit veya
multivariate probit modellerini programlamak kolaylasmaktadir. Genelde
attributes olan degiskenler Rhs ve characteristics olan degiskenlerde
rh2 de yeralmaktadir. Anladigim kadariyla X2 degiskenin categorical, X3
degiskeninde basit kukla degiskenine benziyor. Bagimli degiskenini
baska bir sekilde de olusturabilirsin. Ornegin uc tane kukla seklinde
Y0, Y1 ve Y2 ve bunlarin herbiri eger dogru ise 1 degilse 0 seklinde
olsa sonra
probit; lhs=Y0,Y1,Y3
      ; rhs=x2
      ; rh2=x3 $
seklinde programi kosturabilirsin. Su anda yanimda LIMDEP manual
olmadigi icin fazla yardimci olamiyorum, ama aksam isterseniz sizlere
programi yazip, gonderebilirim. Take care for now and have a good day.
Bilgic 
--- Özge Akkus <ozgeucar at hacettepe.edu.tr> wrote:

> 
> > Hello Dear Limdep Users,
> 
> > I have an example data set as,
> 
>                    X2             X3              Y
>       0 0 0
>       1 0 1
>       2 0 2
>       3 0 2
>       4 0 1
>       0 1 1
>       1 1 0
>       2 1 2
>       3 1 1
>       4 1 1
>       0 2 0
>       1 2 0
>       2 2 0
>       3 2 1
>       4 2 2
> 
> 
> while Y is the dependent variable with J unordered categories and X2
> and X3
> are independent variables. I would like to apply multinomial probit
> model to
> the data set but I don't know which variables I will attain to
> "Attributes
> (RHS)" and "Characteristics (RH2)" cells. Also, when I applied MPM, 
> an
> error appears such as "1 responses should sum to 1.0. Sum is 0.00". I
> would
> like know the reason of this error.
> 
> I'm waiting for your help.
> 
> > Thanks.
> 
> > Özge
> 
> Hacettepe University
> Faculity of Science
> Department of Statistics
> Beytepe/Ankara-TURKIYE
> 
> _______________________________________________
> Limdep site list
> Limdep at limdep.itls.usyd.edu.au
> http://limdep.itls.usyd.edu.au
> 



       
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