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Re: st: Re: summary stats at different levels
thanks. i did that, and it gives the std dev within and between, but the means still seem to be
the same as the individ levels?!
james
On Wed, 13 Feb 2008 14:19:04 -0000
"Steven Proud" <[email protected]> wrote:
xtsum should work for your purposes. - Gives within between and overall summary stats.
**********************************************
----- Original Message ----- From: "Daniel Macneil" <[email protected]>
To: <[email protected]>
Sent: Wednesday, February 13, 2008 2:17 PM
Subject: st: summary stats at different levels
Folks,
I have data arranged by 1000 individuals who come from 700 families. How
can i do the basic summary stats on the family level(each family is marked
with code), rather than the individuals? I am using xtlogit for my
analysis, and that works fine, but the simpler task of getting the
descriptive stats at the family level is perplexing me.
James
On Tue, 12 Feb 2008 19:27:02 -0000
Bidisha Sayema <[email protected]> wrote:
Dear Satalisters,
I am using a two sample two stage least square method which essentially
involves getting predicted value of one of the explanatory variables
from one sample and then using that predicted value in another sample to
estimate the final regression. Therefore in my 1st sample I have the
explanatory variable X and instruments Zs and in 2nd sample I don't have
X but I have the dependent variable Y and same instrument set Z. In my
1st stage I estimate model of X while regressing X on Zs. In the 2nd
stage I use the coefficients of Zs obtained from the 1st stage
regression with the values of Zs available in the 2nd sample to get a
predicted value of Xhat. This Xhat is used as a regressor in my final
regression of Y. However as I am using predicted value of Xhat in my
final regression, I need to correct the standard errors manually. It
would be greatly appreciated if someone inform me how to do it in STATA.
Regards
Bidisha *ps: I am having problem while receiving mails from statalist
therefore
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D. James MacNeil
Doctoral Candidate
Harvard Graduate School of Education
[email protected]
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D. James MacNeil
Doctoral Candidate
Harvard Graduate School of Education
[email protected]
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