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st: Re: Variance-Covariance Matrix
From
Christopher Baum <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Re: Variance-Covariance Matrix
Date
Sun, 5 Jan 2014 13:15:46 +0000
<>
On Jan 5, 2014, at 2:33 AM, Adrian wrote:
> I'm sorry for asking such a simple question but unfortunately I
> couldn't find an answer. How do you get the variance-covariance matrix
> in Stata?
> I know it's available in postestimations using e(V) but in my case
> there is no estimation. Specifically I got two variables each with
> length of 306 that I transformed into a matrix
>
> .mkmat x1 x2, matrix(test1)
>
> Now there must be some way to calculate the variance-covariance matrix
> in an efficient way as in other known mathematical software.
>
> Something like:
> .matrix cov test1
>
> Am I missing something?
> Does anyone have an idea to get the v-cov matrix in some way? Help is
> very much appreciated. Thanks.
There is no need for matrix commands, Mata, or regression formulae.
. sysuse auto
(1978 Automobile Data)
. corr price mpg,cov
(obs=74)
| price mpg
-------------+------------------
price | 8.7e+06
mpg | -7996.28 33.472
. ret li
scalars:
r(N) = 74
r(cov_12) = -7996.282858200665
r(Var_2) = 33.47204738985561
r(Var_1) = 8699525.97426879
matrices:
r(C) : 2 x 2
. mat li r(C)
symmetric r(C)[2,2]
price mpg
price 8699526
mpg -7996.2829 33.472047
Kit Baum
Professor of Economics and Social Work, Boston College, Chestnut Hill MA, USA
DIW Research Professor, Department of Macroeconomics, DIW Berlin, Berlin, Germany
[email protected] | http://ideas.repec.org/e/pba1.html
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