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Re: st: fixed and random effects for longitudinal censored continuous data
From
House Wang <[email protected]>
To
[email protected]
Subject
Re: st: fixed and random effects for longitudinal censored continuous data
Date
Fri, 14 Oct 2011 17:41:22 -0500
This paper is too complicated for me. I need practical STATA command
and examples. Thanks.
On Fri, Oct 14, 2011 at 10:13 AM, Maarten Buis <[email protected]> wrote:
>
> On Fri, Oct 14, 2011 at 4:10 PM, House Wang wrote:
> > The data is proportional data, lasting from 0 to 1, without either 0
> > or 1. And the data is longitudinal across 30 years. In the model, I
> > want to address the fixed and random effects of years OR congresses
> > (every two years).
> >
> > I have found: xttobit can address random effects for longitudinal
> > censored continuous data, but I do not know how to address fixed
> > effects.
> >
> > My questions:
> > 1, what are the correct command of STATA to address fixed effects for
> > longitudinal censored continuous data. Any good examples?
> >
> > 2, xttobit can address random effects, but can you recommend any good
> > examples?
>
> I don't think a tobit model particularly useful for modeling
> proportions as the logic of that model does not correspond well with
> proportions. You are probably better of with some models for
> fractional logit models for panel data proposed by Jeffrey Wooldridge
> at the 2008 North American Stata Users' meeting:
>
> http://ideas.repec.org/p/boc/nsug08/17.html
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
>
> http://www.maartenbuis.nl
> --------------------------
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