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The first line of my last post got eaten up:
http://www.sml.hw.ac.uk/somjaf/Stata/
T
On Sat, May 9, 2009 at 8:16 PM, Tirthankar Chakravarty
<[email protected]> wrote:
> http://www.sml.hw.ac.uk/somjaf/Stata/
>
> http://www.stata.com/statalist/archive/2005-08/msg00745.html
>
> 1) Note however that these are not double hurdle models for _count_
> data - where in my experience these are typically used (hurdle models
> are mixed outcome models with a binary first outcome for participation
> in an activity, and a truncated positive count outcome for amount of
> participation; double hurdle models are non-negative counts in the
> second outcome - entry with zero amount of participation is allowed):
> http://epub.ub.uni-muenchen.de/1528/
> Recommended paper if you are interested in double hurdles.
>
> You can, very easily, fit independent double hurdle models in Stata:
> http://www.stata-journal.com/article.html?article=st0040
> Replace -ztnb- with -nbreg- or any other univariate count regression command.
>
> 2) Of course if you only want (independent) hurdle models - which is
> typically the case - because it is count data, Joseph Hilbe has
> numerous routines to do this:
> ssc install hplogit
> ssc install hnbreg
> ssc install hgclg
> ssc install hglogit
> ssc install hnbclg
>
> 3) Dependent hurdle/double hurdle models are trickier; -gllamm-
>
> ssc install gllamm, replace
>
> is one possible solution. Writing your own -ml- routine is another. I
> don't think -cmp- (D. Roodman, SSC) supports count outcomes (?), else
> that would be ideal.
>
> 4) The code provided is for continuous outcomes.
> http://www.jstor.org/stable/2096488
>
>
> T
>
>
>
> On Sat, May 9, 2009 at 5:47 PM, CHE, Yi <[email protected]> wrote:
>> Dear
>> Is there any stata code for double hurble model now?
>> Thank you very much!
>>
>>
>> Best Wishes
>>
>> Yours
>> CHE, Yi
>> Mphil year 2
>> Division of Social Science
>> Hong Kong University of Science and Technology
>>
>>
>> *
>> * 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/
>>
>
>
>
> --
> To every ω-consistent recursive class κ of formulae there correspond
> recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
> belongs to Flg(κ) (where v is the free variable of r).
>
--
To every ω-consistent recursive class κ of formulae there correspond
recursive class signs r, such that neither v Gen r nor Neg(v Gen r)
belongs to Flg(κ) (where v is the free variable of r).
*
* 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/
