In this paper we present an analysis of per capita personal income inequality within seven Metropolitan Statistical Areas of the USA between 2010 and 2018. The analysis is conducted by calculating several well-known income inequality indexes and their variations over the selected period. Then, for each MSA we produce kernel density estimates of the distributions in 2010 and 2018 and perform Kolmogorov-Smirnoff and Kramér-Von Mises tests to evaluate whether they are the same. All results unequivocally portray a picture of significant increases in per capita personal income inequalities.
Local inequality analysis in the US: evidence from some metropolitan statistical areas
Gerolimetto Margherita
;Magrini Stefano
2021-01-01
Abstract
In this paper we present an analysis of per capita personal income inequality within seven Metropolitan Statistical Areas of the USA between 2010 and 2018. The analysis is conducted by calculating several well-known income inequality indexes and their variations over the selected period. Then, for each MSA we produce kernel density estimates of the distributions in 2010 and 2018 and perform Kolmogorov-Smirnoff and Kramér-Von Mises tests to evaluate whether they are the same. All results unequivocally portray a picture of significant increases in per capita personal income inequalities.File in questo prodotto:
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