There are lots of issues with the Gini as a measurement tool, although it's not clear there is a better one.
The other tool that I'm familiar with has been used in Statistics Canada in work by Frenette, Green, and Milligan. Instead of the labour surveys and the types of data that are used in the Gini coefficient, they have used income tax data and related materials. They've written a couple of papers. Their last one was in 2009, I think. I have the reference if anybody wants it.
They have indicated that they think perhaps the Gini coefficient, to some extent, understates the effects of the two ends of the income spectrum. However, when they did their results, they really weren't significantly different from what you're seeing here, in effect. They've only done them through the year 2000.