A spatial decomposition of the Gini coefficient

Original Paper

Abstract

The paper introduces a spatial decomposition of the Gini coefficient that supports the detection of spatial autocorrelation conjointly with an indicator of overall inequality. An additive pairwise decomposition based on a spatial weights matrix partitions inequality between observations that are geographically neighbors and those that are not. A framework for inference on the spatial decomposition is also suggested. The statistical properties of the decomposition measure are evaluated in a Monte Carlo simulation and an empirical illustration involving per capita income inequality in the US states is also provided.

Keywords

Spatial inequality Spatial autocorrelation 

JEL Classification

R1 D63 R12 C15 C63 

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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  1. 1.GeoDa Center for Geospatial Analysis and ComputationSchool of Geographical Sciences and Urban Planning, Arizona State UniversityTempeUSA
  2. 2.School of Social WorkWayne State UniversityDetroitUSA

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