Visualizing inequality

Iddo Eliazar

Physica A: Statistical Mechanics and its Applications, 2016, vol. 454, issue C, 66-80

Abstract: The study of socioeconomic inequality is of substantial importance, scientific and general alike. The graphic visualization of inequality is commonly conveyed by Lorenz curves. While Lorenz curves are a highly effective statistical tool for quantifying the distribution of wealth in human societies, they are less effective a tool for the visual depiction of socioeconomic inequality. This paper introduces an alternative to Lorenz curves—the hill curves. On the one hand, the hill curves are a potent scientific tool: they provide detailed scans of the rich–poor gaps in human societies under consideration, and are capable of accommodating infinitely many degrees of freedom. On the other hand, the hill curves are a powerful infographic tool: they visualize inequality in a most vivid and tangible way, with no quantitative skills that are required in order to grasp the visualization. The application of hill curves extends far beyond socioeconomic inequality. Indeed, the hill curves are highly effective ‘hyperspectral’ measures of statistical variability that are applicable in the context of size distributions at large. This paper establishes the notion of hill curves, analyzes them, and describes their application in the context of general size distributions.

Keywords: Inequality; Gini index; Lorenz curves; Hill curves; Statistical variability; Infographics (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:454:y:2016:i:c:p:66-80

DOI: 10.1016/j.physa.2016.02.062

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