Econometrica

Journal Of The Econometric Society

An International Society for the Advancement of Economic
Theory in its Relation to Statistics and Mathematics

Edited by: Marina Halac • Print ISSN: 0012-9682 • Online ISSN: 1468-0262

Econometrica: Jan, 2026, Volume 94, Issue 1

Subgroup Decomposition of the Gini Coefficient: A New Solution to an Old Problem

https://doi.org/10.3982/ECTA22145
p. 169-192

Vesa‐Matti Heikkuri|Matthias Schief

We derive a novel decomposition of the Gini coefficient into within‐ and between‐group inequality terms that sum to the aggregate Gini coefficient. This decomposition is derived from a set of axioms that ensure desirable behavior for the within‐ and between‐group inequality terms. The decomposition of the Gini coefficient is unique given our axioms, easy to compute, and can be interpreted geometrically.


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Supplemental Material

Supplement to "Subgroup Decomposition of the Gini Coefficient: A New Solution to an Old Problem"

Vesa-Matti Heikkuri and Matthias Schief

In this online appendix, we extend our axiomatic framework and provide additional results. In online appendix A, we show that our axiomatic framework can also be used to uniquely determine the standard decomposition formulas for the generalized entropy and Foster–Shneyerov indices. In online appendix B, we derive asymptotic confidence intervals for the within and between-group inequality terms of the Gini decomposition. In online appendix C, we show how the decomposition formula can be extended to multivariate Gini coefficients. Online appendix D provides an arithmetic interpretation of the Gini decomposition. Online appendix E illustrates the aggregation of subgroup Lorenz regions and the geometric interpretation of the decomposition in the case of continuous distributions. Online appendix F presents additional empirical applications.

Supplement to "Subgroup Decomposition of the Gini Coefficient: A New Solution to an Old Problem"

Vesa-Matti Heikkuri and Matthias Schief

The replication package for this paper is available at https://doi.org/10.5281/zenodo.17122639. The Journal checked the data and codes included in the package for their ability to reproduce the results in the paper and approved online appendices.