Thank you,
I thought also at that command. However first my share are th
proportion of white collar on total employment in any firm. therefore
i do not know if a population averaged model is adapt in these case.
Secondly with xtgee you can not perform fixed effects estimates and
thus you can not take into account the likely correlation between
fixed effects and explanatory varibales.
No answers for the second question?
Thank you to pay attention
ilaria
2007/11/6, Maarten buis <[email protected]>:
> --- Ilaria Tucci <[email protected]> wrote:
> > I have a panel dataset and I am estimating a model where the
> > dependent variable is a share which varies between 0 and 1. I used
> > the glm command. However, it does not apply to panel dataset and
> > therefore it is not able to take into account fixed effects. I would
> > like to ask you if you a know a way to take into account the fixe d
> > effects,.
>
> The use of -glm- for fractional dependent variable rests on
> quasi-likelihood type of reasoning. The logical extension to a panel
> environment is -xtgee-. This will give you a population average model.
>
> Hope this helps,
> Maarten
>
> -----------------------------------------
> 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/
> -----------------------------------------
>
>
> ___________________________________________________________
> Want ideas for reducing your carbon footprint? Visit Yahoo! For Good http://uk.promotions.yahoo.com/forgood/environment.html
> *
> * 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/
