Inequality of Opportunity and Variance Decomposition: A Methodological Insight

This paper introduces a new variance-based measure of inequality of opportunity (EOp) grounded in a decomposition of the Coefficient of Variation (CV). Our approach disentangles overall inequality into a between-group component driven by circumstances beyond individual control (e.g., gender, family background, or region of birth) and a within-group component which captures effort and idiosyncratic heterogeneity. Within this framework, we characterize three increasingly stringent EOp criteria, capturing equality in group means, equality in within-group dispersion, and their joint validity. Using EU-SILC income data, we illustrate the conceptual and empirical relevance of the method data and highlight substantial cross-country heterogeneity in both average outcomes and within-type variability across European countries. The results show that mean-based evaluations alone may fail to capture important differences in outcome dispersion across circumstance groups, underscoring the value of a variance-based approach for the analysis of equality of opportunity.

Authors

Institutions

Publication Details

Journal
Social Indicators Research
Published
2026-02-01
DOI
https://doi.org/10.1007/s11205-026-03810-2
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inequality of Opportunity and Variance Decomposition: A Methodological Insight

Luca Bonacini, Giuseppe Pignataro, Michele Costa
Social Indicators Research
Income, Poverty, and Inequality
article

Inequality of Opportunity and Variance Decomposition: A Methodological Insight

Luca Bonacini, Giuseppe Pignataro, Michele Costa
article en

Abstract

This paper introduces a new variance-based measure of inequality of opportunity (EOp) grounded in a decomposition of the Coefficient of Variation (CV). Our approach disentangles overall inequality into a between-group component driven by circumstances beyond individual control (e.g., gender, family background, or region of birth) and a within-group component which captures effort and idiosyncratic heterogeneity. Within this framework, we characterize three increasingly stringent EOp criteria, capturing equality in group means, equality in within-group dispersion, and their joint validity. Using EU-SILC income data, we illustrate the conceptual and empirical relevance of the method data and highlight substantial cross-country heterogeneity in both average outcomes and within-type variability across European countries. The results show that mean-based evaluations alone may fail to capture important differences in outcome dispersion across circumstance groups, underscoring the value of a variance-based approach for the analysis of equality of opportunity.

Social Indicators ResearchVol. 181(3)
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), Piedmont University (US), University of Bologna (IT)
No poverty
Openalex Percentile: Top 62%
Income, Poverty, and Inequality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Inequality of Opportunity and Variance Decomposition: A Methodological Insight — Luca Bonacini, Giuseppe Pignataro, et al. · Social Indicators Research (2026) | TGRS Research Map | TGRS