[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
"Nick Cox" <n.j.cox@durham.ac.uk> |

To |
<statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: RE: RE: fractional logit? |

Date |
Fri, 1 Feb 2008 19:33:12 -0000 |

Maarten already suggested the Dirichlet. Nick n.j.cox@durham.ac.uk Feiveson, Alan H. ================= ALso consider using a beta distribution to model the fractions - ssc describe betafit Viktor Slavtchev ================ 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?<< * * 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/

**References**:**st: fractional logit?***From:*Viktor Slavtchev <viktor.slavtchev@uni-jena.de>

**st: RE: fractional logit?***From:*"Verkuilen, Jay" <JVerkuilen@gc.cuny.edu>

**st: RE: RE: fractional logit?***From:*"Feiveson, Alan H. (JSC-SK311)" <alan.h.feiveson@nasa.gov>

- Prev by Date:
**st: RE: RE: RE: fractional logit?** - Next by Date:
**st: RE: R: RE: testing for overdispersione after Poisson Regression** - Previous by thread:
**st: RE: RE: RE: fractional logit?** - Next by thread:
**RE: st: xttobit with multiple upper limits** - Index(es):

© Copyright 1996–2017 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |