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st: MLE for Tobit I
From
"Alba J. Collart-Dinarte" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: MLE for Tobit I
Date
Fri, 30 Sep 2011 22:19:22 +0000
Dear Stata listers,
I have an inquiry about programming the likelihood function for Tobit models (type I, censored at zero) in STATA 10.1. This is the code I've written:
program mytobit1
version 10.1
args lnf beta sigma
quietly replace `lnf'= log(1-normal(`beta'/`sigma')) if $ML_y1==0
quietly replace `lnf'= log((1/`sigma')*normalden(($ML_y1-`beta')/`sigma')) if $ML_y1>0
end
ml model lf mytobit1 (y1 = x) /sigma
ml check
ml maximize, nolog
but it does not run. I believe that there is a problem in the way I define the likelihood function and in "$ML_y1>0".
I have looked into Gould, Pitblado and Poi (2010), but they mainly discuss probit, normal and weibull models.
I have also tried:
quietly replace `lnf'= cond($ML_y1==0,log(1-normal(`beta',`sigma')),log((1/`sigma')*normalden($ML_y1,`beta',`sigma')))
and using normalden($ML_y1,`beta',`sigma') - instead of - normalden(($ML_y1-`beta')/`sigma')
but no success.
Any suggestions on how can I fix the code would be greatly appreciated.
Thank you very much in advance,
Alba Collart
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