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st: Re: jackknifing and loop question [was: <meaningless title>]
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: Re: jackknifing and loop question [was: <meaningless title>]
Date
Tue, 12 Mar 2013 16:00:14 +0000
You have to think about a loop. The analogy with jackknifing here is
far too tenuous to be pertinent to your programming.
But before you think about a loop, have you done the combinatorics
here? For 10 provinces, I count about 1000 regressions, and naturally
they are highly dependent.
Nick
On 12 Mar 2013, at 15:36, "Von Fintel, Dieter <[email protected]>" <[email protected]
> wrote:
I have a question about delete k jackknife estimation. However, I
would like to delete k groups at a time, rather than k observations.
Basically I want to run a regression of the type:
reg y i.province othercontrols
I then want to leave out all combinations of 1 province (with a
dataset saving coefficients).
Then I want to leave out all combinations of 2 provinces, all
combinations of 3 provinces, etc
Up to this point, all that I see would be possible is all
combinations of deleting 1 observation at a time, or deleting 1
cluster at a time. I could define province as my cluster, but this
will still only leave out one at a time. Other than writing a loop,
is there any way that you know of how I could use the jackknife
command to achieve this.
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