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From |
Tirthankar Chakravarty <tirthankar.chakravarty@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: double hurble |

Date |
Sat, 9 May 2009 21:25:33 +0100 |

<> <> 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 <tirthankar.chakravarty@gmail.com> 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 <tccheyi@ust.hk> 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/

**References**:**st: double hurble***From:*"CHE, Yi" <tccheyi@ust.hk>

**Re: st: double hurble***From:*Tirthankar Chakravarty <tirthankar.chakravarty@gmail.com>

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