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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 10:23:28 -0500
Maarten, Thank you very much.
The D.V. is not a usual proportional, though it looks like proportional data.
It is the sum of three proportional scores divided by three, though
the result is never bigger than 0.8.
For this kind of data, do you still think the model you mentioned is
good? Thanks.
Jianying
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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