Dear all,
does someone know about the fastest way to compute gini coefficients of several income variables over many sub-groups (say, 2000) of a large dataset (with several million observations)? I am using Stata 10.1 on Windows XP.
There are many user-written programs calculating gini coefficients. I have been using the following:
(1) -egen_inequal- (by Michael Lokshin and Zurab Sajaia), followed by a -collapse- (although this can be sped up by using -keep-) and
(2)-fastgini- (by Zurab Sajaia), looping over groups and collecting the results in a matrix.
Both ways of calculation take pretty long (I haven't timed them against each other). Any ideas?
Many thanks,
Philipp
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