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From |
Todd Wagner <twagner@stanford.edu> |

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

Subject |
Re: st: RE: RE: RE: proportion as a dependent variable |

Date |
Mon, 14 Jul 2003 09:20:35 -0700 |

I think you are referring to the fractional logit (flogit). These models are discussed (briefly) in Wooldridge's book. Also there is a talk by John Mullahy, see http://lhcwww.soph.uab.edu/presentation.pdf.

It is a relatively simple model and can be run with Stata.

glm <dv> <iv's> , link(logit) family(binomial) robust

As Mullahy's talk shows, it is critical to use the robust option.

Todd

At 04:56 PM 7/14/2003 +0100, Nick Cox wrote:

Joao Pedro W. de Azevedo > > I've seen papers in which the authors used a tobit model > censored at 0 and 1 > to model a proportion. > Would this be an acceptable approach? > Without knowing about the data or the underlying science, it is difficult to say. But it does not sound like a general solution to me. Nick n.j.cox@durham.ac.uk * * 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/

* * 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/

**Follow-Ups**:**RE: st: RE: RE: RE: proportion as a dependent variable***From:*"Ronnie Babigumira" <ronnie.babigumira@ios.nlh.no>

**References**:**st: RE: RE: proportion as a dependent variable***From:*"Joao Pedro W. de Azevedo" <jazevedo@provide.com.br>

**st: RE: RE: RE: proportion as a dependent variable***From:*"Nick Cox" <n.j.cox@durham.ac.uk>

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