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Income Inequality: A State-by-State Complex Network Analysis

Periklis Gogas (), Rangan Gupta (), Stephen Miller (), Theophilos Papadimitriou () and Georgios Sarantitis ()

No 2-2016, DUTH Research Papers in Economics from Democritus University of Thrace, Department of Economics

Abstract: This study performs a long-run, inter-temporal analysis of income inequality in the U.S. spanning 1916-2012. We employ both descriptive analysis and the Threshold-Minimum Dominating Set from Graph Theory to examine the evolution of inequality through time.. In doing so, we use two alternative measures of inequality: the Top 1% share of income and the Gini coefficient. This provides new insight on the literature of income inequality across the U.S. states. Several empirical findings emerge. First, there is a heterogeneous evolution of inequality across the four focal sub-periods. Second, the results differ between the inequality measures examined. Finally, we identify groups of similarly behaving states in terms of inequality. These findings can be used by the U.S. authorities to identify inequality trends and innovations and/or examples to investigate the causes of inequality within the U.S. in order to implement appropriate policies

Keywords: Income inequality; graph theory; U.S. states (search for similar items in EconPapers)
JEL-codes: D63 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2016-06-06
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Working Paper: Income Inequality: A State-by-State Complex Network Analysis (2016) Downloads
Working Paper: Income Inequality: A State-by-State Complex Network Analysis (2015)
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