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
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
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Working Paper: Income Inequality: A State-by-State Complex Network Analysis (2016)
Working Paper: Income Inequality: A State-by-State Complex Network Analysis (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:ris:duthrp:2016_002
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