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Re: st: When number of regressors greater than the number of clusters in OLS regression
From |
Steven Samuels <[email protected]> |
To |
[email protected] |
Subject |
Re: st: When number of regressors greater than the number of clusters in OLS regression |
Date |
Mon, 1 Sep 2008 13:05:39 -0400 |
More basic questions, Divya: What is your target population: the 17
states (of India, perhaps?) or the entire country? Were the 17
states selected from all states by a sampling process? Or were they
chosen in some other way--for example, because they had data
available. Are all districts from the selected states in your sample?
-Steven
On Sep 1, 2008, at 12:35 PM, Divya Balasubramaniam wrote:
Dear Dr.Schaffer,
I am using clustering in my analysis and I am having some trouble
understanding some of the important issues. I have read several
papers you have written on clustering issues and hence I am
emailing you to seek help.
I am doing a district level analysis for the census year 2001. I
have 436 districts in total coming from 17 States. I run an OLS
regression of Share of households having tap water access on
several controls variables (I have about 25 Regressors). I use the
STATA command areg Y on X, absorb(State) cluster(state). I have the
state fixed effects and clustered by State.
My question is: I have more regresors(25) than the number of
clusters(17). I also find in the STATA output that I have F-stat
missing. I would like to seek your advice on whether I can make
inference by looking at the individual coefficient estimates and
the reported robust Standard errors. I did see your comment on this
issue on the STATA listserv. However, I could not find answers as
to how to fix this problem of having more regressors than the
number of clusters.
I will be extremely thankful if you can kindly help me in this regard.
Sincerely,
Divya.
=======================================
Divya Balasubramaniam
Economics PhD Student
Terry College of Business
University of Georgia
Athens -30602.
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