A Statistical Characterization of Median-Based Inequality Measures

For income distributions divided into middle, lower, and higher regions based on scalar median cut-offs, this paper establishes the asymptotic distribution properties—including explicit empirically applicable variance formulas and hence standard errors—of sample estimates of the proportion of the population within the group, their share of total income, and the groups’ mean incomes. It then applies these results for relative mean income ratios, various polarization measures, and decile-mean income ratios. Since the derived formulas are not distribution-free, the study advises using a density estimation technique proposed by Comte and Genon-Catalot. A shrinking middle-income group with declining relative incomes and marked upper-tail polarization among men’s incomes are all found to be highly statistically significant.

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Publication Details

Journal
Econometrics
Published
2025-08-09
DOI
https://doi.org/10.3390/econometrics13030031
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00

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article

A Statistical Characterization of Median-Based Inequality Measures

Charles M. Beach, Russell Davidson
Econometrics
Income, Poverty, and Inequality
article

A Statistical Characterization of Median-Based Inequality Measures

Charles M. Beach, Russell Davidson
article en

Abstract

For income distributions divided into middle, lower, and higher regions based on scalar median cut-offs, this paper establishes the asymptotic distribution properties—including explicit empirically applicable variance formulas and hence standard errors—of sample estimates of the proportion of the population within the group, their share of total income, and the groups’ mean incomes. It then applies these results for relative mean income ratios, various polarization measures, and decile-mean income ratios. Since the derived formulas are not distribution-free, the study advises using a density estimation technique proposed by Comte and Genon-Catalot. A shrinking middle-income group with declining relative incomes and marked upper-tail polarization among men’s incomes are all found to be highly statistically significant.

EconometricsVol. 13(3)
Queen's University (CA), Groupement de Recherche en Économie Quantitative d’Aix-Marseille (FR), McGill University (CA)
McGill University
No poverty
Openalex Percentile: Top 72%
Income, Poverty, and Inequality
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A Statistical Characterization of Median-Based Inequality Measures — Charles M. Beach, Russell Davidson · Econometrics (2025) | TGRS Research Map | TGRS