At 12:49 PM 8/15/2003 +1000, Susan Donath wrote:
I have a query about the svr programs.
I am using a dataset containing unit record data from the Australian
Bureau of Statistics (ABS). The ABS provides a set of 30 replicate
weights for each case in the dataset. According to their documentation,
the estimated standard error of an estimate can be found using
the following formula :
SE(y) = sqrt( 29/30 S ( y(g) - y )*( y(g) - y ) )
where y(g) is the gth estimate of the parameter y using the gth set of
replicate weights
and y is the estimate of the parameter using the full person weight
The supplied dataset includes a person weight for each case, but no
information on strata or psu.
I assume that I can use the svr programs to calculate standard errors but
I can't quite figure out the exact syntax of the command. I assume that I
need to use the brr version of svrset, but this requires me to enter a
number of degrees of freedom, and I don't understand what this refers to.
As the author of the -svr- routines, I'll take a crack at this one. It
sounds from the formula given that these are JK1 (ie, delete-one
jackknife) weights, and you should, therefore, use that method. Generally
the degrees of freedom for the JK1 method is one less than the number of
replicates, or 29 in your case.
So, you should use -svrset- to specify the method (jk1), the variable
names for the full-sample and replicate weights, and the degrees of freedom:
. svrset set meth jk1
. svrset set pw [sample-weight-spec]
. svrset set rw [replicate-weight-spec]
. svrset set dof 29
Then you can be off and running with your analyses, using the suite of
-svr- commands. (By the way, -help survwgt- gives the methods and
formulae for variance estimation for each of the various replication methods.)
-Nick Winter
(note the new email address; different from that in the help file for -svr-)
-------------------------------------------------------
Nicholas Winter 308 White Hall
Assistant Professor t:607.255.8819
Department of Government f:607.255.4530
Cornell University [email protected]
Ithaca, NY 14853-7901 falcon.arts.cornell.edu/nw53
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Susan Donath
