Suppose you have a variable -group-. Then
egen rank = rank(uniform()), unique
gen group2 = group[rank]
creates such pseudo-groups. (The -unique-
is paranoia, based on a worry that there
might be ties in the random numbers.)
However, you still need machinery
on top of this.
In addition to what you mention,
-permute- might help.
Nick
[email protected]
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]]On Behalf Of
> Gabriel Kaplan
> Sent: 12 May 2004 20:09
> To: [email protected]
> Subject: st: Random Group Resampling
>
>
> Does anyone know of a user created ado file to implement Bliese's RGR
> (Random Group Resampling) procedure?
>
> Essentially, this involves randomly creating pseudo groups of
> equal size
> to the groups in your data by reassigning the observations to groups
> randomly. One then calculates test statistics for the pseudo
> groups such
> as mean and variance and contrasts these with the means and
> variances of
> the actual groups.
>
> I am interested in running RGR in STATA. Bliese wrote some
> programming
> language for S-Plus, but I wanted to try this in STATA.
> Before I go off
> and try to implement this, has anyone done this? More info is
> available
> at:
>
> Paul D. Bliese and Ronald R. Halverson. 2002. "Using Random Group
> Resampling in multilevel research*1: An example of the
> buffering effects
> of leadership climate" in Leadership Quarterly, (13(1):53-68.
>
> My sense is I will need to run a combination of SIMUL and BSTRAP 1000
> times to get this done. I know that the Boston College
> Archive maintains some
> ado files for random group variance estimators labeled RGROUP
> and RANVAR,
> but I am not sure this is the same thing since it is form the
> economics
> literature and RGR is from the organizational literature. Any ideas?
>
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