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Re: st: Wanted: simulated data with cluster structure


From   Bert Jung <[email protected]>
To   [email protected]
Subject   Re: st: Wanted: simulated data with cluster structure
Date   Wed, 11 May 2011 15:04:27 -0400

Thanks for the heads-up Austin.  I wonder if it would be useful to
post (here or elsewhere) simulation code for various standardized
situations?  Apart from my own need, I understand from colleagues that
there is both demand and confusion on these matters.

Bert

On Wed, May 11, 2011 at 12:06 PM, Austin Nichols
<[email protected]> wrote:
> Bert Jung <[email protected]>:
> Don't forget that your X vars (if any) also must be clustered if you
> want the nonrobust SE to be incorrect on average.
>
> On Wed, May 11, 2011 at 8:04 AM, Bert Jung <[email protected]> wrote:
>> Thanks Stas... -expand-, of course...
>> Bert
>>
>> On Tue, May 10, 2011 at 10:48 PM, Stas Kolenikov <[email protected]> wrote:
>>> On Tue, May 10, 2011 at 9:31 PM, Bert Jung <[email protected]> wrote:
>>>> I need a simulated dataset with clustered data to test a user-written
>>>> bootstrap routine.  The only important feature is that the cluster
>>>> structure should lead to visibly biased standard errors in -regress-
>>>> and that a -regress, cluster()- should return the correct standard
>>>> error.
>>>
>>> Oh come on.
>>>
>>> set obs 20
>>> gen u = rnormal()
>>> gen cl = _n
>>> expand 20
>>> gen e = 0.2*rnormal()
>>> gen y = u+e
>>> reg y
>>> reg y, cl(cl)
>>>
>>> --
>
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