Note: PROC UNIVARIATE actually computes excess Kurtosis.
%macro jbtest(data = , var = );
ods listing close;
proc univariate data = &data ;
var &var;
ods output moments = _1;
run;
data _2;
set _1;
label = label1; value = nValue1; output;
label = label2; value = nValue2; output;
drop cvalue: label1 label2 nvalue:;
run;
proc transpose data = _2 out = _3;
by varname notsorted;
id label;
var value;
run;
data _4;
set _3;
jb = (skewness**2 * n)/6 + ((kurtosis)**2 *n)/24;
p = 1 - probchi(jb, 2);
lable jb = 'JB Statistic' p = 'P-value'
kurtosis = 'Excess Kurtosis';
run;
ods listing;
proc print data = _4 label;
title "Jarque-Bera test for variable &var from data &data";
var varname n skewness kurtosis jb p;
run;
proc datasets nolist;
delete _:;
quit;
%mend;
/* Run a test using a data set from SAS's HELP library */
%jbtest(data = sashelp.class, var = age height weight);
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