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.
Authors
- Charles M. Beach (ORCID: https://orcid.org/0000-0001-5262-0728)
- Russell Davidson (ORCID: https://orcid.org/0000-0003-4214-5198)
Institutions
- Queen's University (CA)
- Groupement de Recherche en Économie Quantitative d’Aix-Marseille (FR)
- McGill University (CA)
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
Funders
- McGill University