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Re: st: Re: Variance-Covariance Matrix
From
Adrian Stork <[email protected]>
To
[email protected]
Subject
Re: st: Re: Variance-Covariance Matrix
Date
Mon, 6 Jan 2014 11:11:40 +0100
Hi Chrisopher
Thanks for that. Very elegant, I think it might be a bit more
efficient, altough I finally can say I used mata :-)
Best,
A.
2014/1/5 Christopher Baum <[email protected]>:
> <>
> 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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