for my dissertation I need to compare the Gini coefficients of 5 different markets with approx. the sample population size. I would like to do bootstrapping to compare the means (instead of permutation tests). What I've currently done is:
1. I bootstrapped all markets individually 1000 times and received 1000 Gini-coefficients each, so 5000 in total for 5 markets.
2. I used the 1000 Gini values in a two-group t-test to compare their mean with another 1000 Gini-values from a different market and thus received a p-value.
Observation: Even small differences tend to become significant.
Is this a potential way to do it? I've read other board entries on this, but I still don't quite get it what to do. Thanks for your help!