2023
DOI: 10.1017/s095653612300024x
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Understanding and calculating household size, wealth, and inequality in the Maya Lowlands

Adrian S.Z. Chase,
Amy E. Thompson,
John P. Walden
et al.

Abstract: Inequality is present in all human societies, but building a robust understanding of how that inequality developed and persisted for centuries requires historical and archaeological data. Identifying the degree of inequality (or disparity) in ancient communities can be addressed through a variety of methods. One method becoming standard practice in archaeology evaluates inequality through quantitative analysis of robust settlement data. In this Compact Special Section, we assess household size as a potential r… Show more

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Cited by 5 publications
(11 citation statements)
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“…This could be due to an underestimation of labor needed to build raised plazuelas or in some other component of the formula, but it may also represent a closer approximation of wealth inequality than either the volume or area measures. As it derives from a different dataset, our labor investment Gini is not directly comparable to the area Ginis it most closely resembles from other Maya centers, although it provides another potential avenue for multiproxy approaches to material wealth distribution for future comparisons (see Munson et al 2023;Walden et al 2023).…”
Section: Gini Coefficient Resultsmentioning
confidence: 94%
See 1 more Smart Citation
“…This could be due to an underestimation of labor needed to build raised plazuelas or in some other component of the formula, but it may also represent a closer approximation of wealth inequality than either the volume or area measures. As it derives from a different dataset, our labor investment Gini is not directly comparable to the area Ginis it most closely resembles from other Maya centers, although it provides another potential avenue for multiproxy approaches to material wealth distribution for future comparisons (see Munson et al 2023;Walden et al 2023).…”
Section: Gini Coefficient Resultsmentioning
confidence: 94%
“…Techniques for estimating area and volume, and the calculation of Gini indices for household groups based on these measurements, provide new ways to quantify inequality among non-royal households. Gini coefficients produce a global measure of inequality for a population by comparing each unit of analysis to every other comparable element (see Chase et al 2023). The index ranges from zero to one, with zero representing perfect equality and one reflecting perfect inequality.…”
Section: Introductionmentioning
confidence: 99%
“…Structure and plazuela areas were obtained through the Calculate Geometry function, while volume calculations were run using a custom Python script provided by Chase and colleagues (2023), building on existing methodologies (Chase 2017;Ebert et al 2016;Šprajc et al 2022;Stanton et al 2020). Lorenz curves and Gini coefficients (raw and corrected) were computed for each of the three units of analysis in Excel and R, based on Shryock and Siegel (1976), and a bootstrapping procedure was used to find the 95 percent confidence interval for the generated data (see Chase et al, 2023).…”
Section: Methodsmentioning
confidence: 99%
“…Adapting methods to local contexts: Taphonomy, settlement preservation, and house size Gini coefficients are typically used to assess wealth concentration within a population (Chase et al 2023; see also Peterson and Drennan 2018). Gini coefficients range between 0 (perfect equality) to 1 (maximal inequality).…”
Section: The Belize River Valleymentioning
confidence: 99%
“…The Gini coefficient is commonly used to measure wealth inequality, although it is, in reality, a measure of the unevenness of a batch of the input variable the coefficient is based on (not dissimilar to diversity indices; see Peterson and Drennan 2018). Based on this unevenness, a higher Gini coefficient is usually associated with greater degrees of wealth inequality (see Chase et al 2023), but this study uses the Gini coefficient to characterize residential differentiation at Baking Pot and Lower Dover, discussing the implications of these Gini coefficients in relation to political models of labor organization (Abrams 1994).…”
Section: Introductionmentioning
confidence: 99%