Gini Coefficient Limitations
The Gini coefficient, while widely used, is acknowledged by the authors as a simplistic measure that does not capture where inequality occurs within a distribution or shifts in wealth concentration over time, potentially oversimplifying complex social structures.
Small Sample Sizes for Gini
Gini calculations can be less reliable with small sample sizes, a condition the authors note for some periods, which could affect the statistical significance of observed trends.
Inconsistent Wealth Proxies
Gini values derived from house sizes and mortuary data represent different forms of wealth and exhibit different persistence properties, making direct comparison and interpretation complex.
There is a significant gap in data points for all variables between 3800 and ~2000 BCE, which could obscure trends or important developments during this long period.
For the Bronze Age, measurements are primarily from fortified 'apex sites' where the highest degree of inequality would naturally be expected, potentially skewing the representation of inequality for the broader population or region.
Settlement longevity (apogee) calculations are influenced by radiocarbon dating availability and research focus on certain periods (e.g., Early Neolithic), and flatter radiocarbon curves can lead to longer span estimates, potentially impacting the accuracy of duration trends.