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RE: st: questions about Fixed Effect models


From   "Lachenbruch, Peter" <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   RE: st: questions about Fixed Effect models
Date   Fri, 4 Mar 2011 09:30:52 -0800

The point of the FAQ is that you should NOT BE USING THE NAME MYSTATAEMAIL.  You should use the name that you receive your email with.  Do not expect many solutions to this.  It is most irritating.

Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Stata Email
Sent: Friday, March 04, 2011 8:35 AM
To: [email protected]
Cc: Syed Basher
Subject: Re: st: questions about Fixed Effect models

Thanks Syed, I actually found this material at the internet and it really helped

Isabel Pereira

On Fri, Feb 25, 2011 at 7:55 PM, Syed Basher <[email protected]> wrote:
> Hi,
>
> Since you're new to panel data (and therefore FE models), you may find the
> following a very useful read:
> http://dss.princeton.edu/training/Panel101.pdf
>
> Syed Basher
>
>
>
> ----- Original Message ----
> From: Stata Email <[email protected]>
> To: [email protected]
> Sent: Fri, February 25, 2011 11:05:28 PM
> Subject: st: questions about Fixed Effect models
>
> Dear Statalist members
>
> I am new in panel data and I am working with fixed effect models. I
> would like to confirm if I am doing the right thing
>
> When working with panel data, the data set is such that we have
> information about individuals i and we observe these individuals
> through different time periods t. My questions are
>
> 1) Which part of the Stata output shows me that the fixed effect is important?
> 2) What does it mean exactly R-sq within? R-sq between?
> 3) If I run a fixed effect model, the sigma-u is the std dev of the
> residuals inside (within) each group of individuals i. So a higher
> number means that I have more variability inside each group?
> 4) sigma-e show the std dev of the residuals after excluding the
> variability inside each group i? If that is true, a higher number
> means that I have a big variability among groups i and therefore the
> fixed effect is important?
>
> Now let me explain what kind of data set I have. I have a data set
> with the proficiency level of students, followed for 5 years. But I
> know who is the teacher for every student in all 5 years. I want to
> calculate a teacher fixed effect (and I control for the proficiency
> level from the previous year instead of having a student fixed
> effect). My other questions are
>
> 5) My individuals i here are the teachers and, instead of having a
> time t, I have students s with the same teacher
> 6) All within statistic will refer the the differences among students
> with the same teacher?
>
> I really appreciate any comment
> Isabel
>
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