How to use replicate weights with SAS - American Community Survey or Current Population SurveyFor some reason, there are negative replicate weights in the ACS data. (I don’t know if this is the case with the CPS data.) data acs; set a.acs; array temp(*) pwgtp1-pwgtp80; do i = 1 to dim(temp); if temp(i) < 0 then temp(i)=0; end; run; proc surveymeans data = indiana varmethod=jackknife; var agep; weight pwgtp; repweights pwgtp1-pwgtp80 / jkcoefs=0.05; run; The value for jkcoefs (4/80=0.05) comes from the documentation for variance estimation (chapter 12 of the design methodology):

For some reason, there are negative replicate weights in the ACS data. (I don’t know if this is the case with the CPS data.) See also IPUMS.

data acs;
 set a.acs;
 array temp(*) pwgtp1-pwgtp80;

 do i = 1 to dim(temp);
   if temp(i) < 0 then temp(i)=0;
 end;
run;

proc surveymeans data = indiana varmethod=jackknife;
var agep;
weight pwgtp;
repweights pwgtp1-pwgtp80 / jkcoefs=0.05;
run;

The value for jkcoefs (4/80=0.05) comes from the documentation for variance estimation (chapter 12 of the design methodology):

Update: I believe the following statements will also work but haven't verified this:

proc surveymeans data = indiana varmethod=brr (fay=0.5);
var agep;
weight pwgtp;
repweights pwgtp1-pwgtp80;
run;