I think Stephen meant:
Test statistic = (Gini_a - Gini_b) / sqrt[ SE(Gini_a)^2 +
SE(Gini_a)^2 ]
On Apr 11, 2007, at 4:24 AM, Stephen P. Jenkins wrote:
The key issue is whether the 2 samples are independent. Then it is a
straightforward "t test" of differences, unless I am missing
something. Test statistic = (Gini_a - Gini_b) / sqrt[ SE(Gini_a) +
SE(Gini_a) ]
You can get the Gini and its standard error directly (and quickly) by
using -svylorenz- on SSC
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