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RE: <POSSIBLE SPAM>st: RE: RE: comparing different means using ttest
From
DE SOUZA Eric <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
RE: <POSSIBLE SPAM>st: RE: RE: comparing different means using ttest
Date
Thu, 16 Dec 2010 19:26:58 +0100
Reply to original post, which once again I have deleted !
Why not just pool your data and regress %GDP-growth on a dummy (binary) variable (and a constant, of course) which takes the value of one for one of the two sub-samples and zero for the other; and test whether the coefficient on the dummy is significantly different from zero (or examine its confidence interval) ?
You can robustify for heteroscedasticity.
Eric de Souza
College of Europe
Dyver 11
BE-8000 Brugge (Bruges)
Belgium
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of Nick Cox
Sent: 16 December 2010 19:17
To: '[email protected]'
Subject: <POSSIBLE SPAM>st: RE: RE: comparing different means using ttest
A senior Stata user, who might not want to be named, pointed out the counter-example of a Poisson variable. Clearly correct: if you know that your variable is Poisson, then the mean is also the variance.
Nick
[email protected]
Nick Cox
[...]
any more than the mean of anything tells you about its variability.
[...]
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