This looks like a case for -dirifit-, which can be downloaded from
-ssc-. This command was discussed at the UK Stata Users' Group Meeting
in 2006. The slides of that talk can be found on
http://home.fsw.vu.nl/m.buis/software/dirifit.html.
Hope this helps,
Maarten
--- Viktor Slavtchev <[email protected]> wrote:
> Dear all,
> I have the following questoin:
> I have individual data where people report the share of time they
> spend
> in five distinct activities. People can do more than one activity
> every
> day: first jogging, then go to work, then shopping, whatever. That
> is,
> there are five observation per ID individual. Actually, the ID is the
>
> (each person's) day. I wish to explore the individual characteristics
>
> determining the share of time spent for each activity.
> As the dependent variable is a share [0;1] I was thinking about
> fractional logit. In Stata it would be (I guess):
> glm y x, family(binomial) link(logit).
> However, I am not clear whether fractional logit can be applied on
> the
> original data, or the data have first to be transformed in some way.
> Moreover, in doing -glm- live above I implicitly assume that each
> observation is independent which is definitely not true.
> Does anybody know some solution?
> Any help is greatly appreciated.
> thanks a lot
> viktor
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
___________________________________________________________
Yahoo! Answers - Got a question? Someone out there knows the answer. Try it
now.
http://uk.answers.yahoo.com/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
