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st: using ML for hurdle model, invalid syntax error
From
Leny Mathew <[email protected]>
To
[email protected]
Subject
st: using ML for hurdle model, invalid syntax error
Date
Thu, 21 Oct 2010 17:18:50 -0400
Hello All,
I'm trying to use the ml function to estimate a hurdle model. Instead
of the Poisson or the negative binomial, I'm using the gamma
distribution for the second part of the model. I've written this based
on the article on the stata journal, 3, No.2, PP 178-184.
stata is returning an invalid syntax error to ml check. The code is below:
ml model lf hurdle_gam (cnew= time tsq) (time tsq) if T <=3 &
final==0, robust cluster(ID)
ml check
Test 1: Calling hurdle_gam to check if it computes log pseudolikelihood and
does not alter coefficient vector...
FAILED; hurdle_gam returned error 198.
Here is a trace of its execution:
------------------------------------------------------------------------------
-> hurdle_gam __000007 __000005 __000006
- `begin'
= capture noisily version 10.1: hurdle_gam __000007
__000005 __000006
--------------------------------------------------------------------------------------------------------------
begin hurdle_gam ---
- version 10.1
- args lnf beta1 beta2 lnphi
- tempvar T E C phi pi
- quietly {
- gen double `pi' = exp(`beta1')
= gen double __00000C = exp(__000005)
- gen double `E' = exp(`beta2')
= gen double __000009 = exp(__000006)
- gen double `phi' = exp(`lnphi')
= gen double __00000B = exp()
invalid syntax
gen double `T' = 1/`phi'
gen double `C' =
`T'*ln($ML_y1/`phi')-ln($ML_y1)-lngamma(1/`phi')
replace `lnf' = cond($ML_y1==0, -`pi',
log(1-exp(-`pi'))+`T'*($ML_y1*(-1/`E')-`beta2')+`C')
}
----------------------------------------------------------------------------------------------------------------
end hurdle_gam ---
- `end'
= set trace off
------------------------------------------------------------------------------
Fix hurdle_gam.
r(198);
I can see that when trying to do "gen double `phi'=exp(`lnphi'), the
temporary variable returns exp(), but I'm not sure how to fix that.
Any comments on this is greatly appreciated.
Thanks,
Leny
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