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st: RE: Re: How should I treat my dataset???Paneldata/cross section/clustering
From
Jan Bryla <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: RE: Re: How should I treat my dataset???Paneldata/cross section/clustering
Date
Thu, 17 Mar 2011 16:07:28 +0100
Well, if you have time-invariant observables and include them in a fixed-effects estimation such as -xtreg,fe-, they will simply drop out. What I meant to say - and maybe this was not clear - was what you believe regarding unobservables. If your community variables such as #beds is the average in that community you may find it more convenient to pool. But all in all, I guess I return to Maartens reply in that it really depends on the characteristics of the data.
Maybe this clears it up.
/Jan
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of ajita
Sent: 17. marts 2011 15:52
To: [email protected]
Subject: st: Re: How should I treat my dataset???Paneldata/cross section/clustering
Hi Jan,
I have other variables that are time invariant such as attributes of the
houses (no of beds, no of baths) location attributes such as the distance
to nearest river, lakes, railroads,school etc..I have community fixed effect
(11 communities) I pooled the data and ran OLS and it works fine...But I was
trying to treat the data as panel using community as id and saleyear as time
variable but I got an error message "time variables repeated within panels".
Therefore I was trying to get second opinion to whether pooling the data and
running the OLS is enough to determine the effect of X on Y or is there any
method that will make my results more accurate.
Thank You
Ajita
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