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From |
Michael Ingre <Michael.Ingre@ipm.ki.se> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: question on GLLAMM |

Date |
Thu, 19 Aug 2004 13:32:15 +0200 |

On 2004-08-18, at 17.04, lm0542 wrote:

Dear Matt,Dear Stata Experts, I would like to estimate a model of occupational choice of university graduates, taking as endogenous each of the following 3 sequential decision nodes:

Unfortunately, not many people answers questions on -gllamm-. I try too, but not because I'm an expert ... Hopefully though, my small contribution will help to make others aware of the amazing potential of -gllamm- so that the user community grows to a critical mass, with more responses to -gllamm- questions on Statalist.

-gllamm- can fit a variety of choice models e.g. with alternative-specific covariates and multilevel structure of the data. Some of them are a bit complicated to implement and needs reshaping of the data, generation of alternative-dummy variables and the use of the -expand()- option.

There is a brief example of a choice model with alternative specific covariates in the manual (chapter 9) that can be downloaded here: http://www.gllamm.org. Also, there are a few examples in: http://stata.com/bookstore/glvm.html (chapter 13) but, the book does not discuss how to implement them with -gllamm-. There are however some .do files and datasets available for download here http://www.gllamm.org/books/genlat.html.

My guess is that the forthcoming book by Sophia Rabe-Hesketh, Andrew Pickles, and Anders Skrondal will be the long time needed revision of the manual with direct references to -gllamm- http://www.stata-press.com/forthcoming.html. You should check it out when it is released.

I can't say for sure, but if you have longitudinal/multilevel-data and use Stata, then -gllamm- seems to me to be the obvious first choice.I was thinking to use GLLAMM for this purpose but since I'm new to the program I'm not sure whether it might be suitable.

Michael

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**Follow-Ups**:**Re: st: question on GLLAMM***From:*lm0542 <lm0542@yahoo.com>

**References**:**st: question on GLLAMM***From:*lm0542 <lm0542@yahoo.com>

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