
I should also add that the R squared is a mere 0,1038. However, as I account for other variables composition of immigrants in particular I expect to see a stronger correlation.

It does indeed seem that Gini scores fluctuate quite a bit. I redid my scatter chart with the latest available data on Wikipedia and got a slightly different picture. Here's a new scatter chart with a regresson line. In this chart I have excluded a few outliers, namely Luxembourg (outlier), Chile (outlier), Turkey + Mexico (low GDP), and Estonia

Thanks for the input. Truth be told numbers aren't my strongest side, but I'll fiddle around with the figures and see what comes out. If anyone might recall any relevant studies or figures, that would also be very much appreciated.

That scatter chart is just something I drew up rather quickly using statistics from Wikipedia (Not very academic, I know, but it will do for now). It will get more accurate as my research progresses. For the time being, only consider it a rough guide. Here's a Wikipedia article with a list of countries by migration rate http://en.wikipedia.org/wiki

Hi all. This is my first post in the Mises community. I am fishing for resources and leads (and thoughts) for my Masters dissertation at the LSE. I will be exploring a theory I have about how immigration might be the main factor in explaining differing levels of inequality in the OECD states. As it turns out immigrants tend to mostly enter the workforce