A spatial decomposition of the Gini coefficient
AbstractThe 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. Copyright Springer-Verlag 2013
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Bibliographic InfoArticle provided by Springer in its journal Letters in Spatial and Resource Sciences.
Volume (Year): 6 (2013)
Issue (Month): 2 (July)
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Web page: http://www.springer.com/economics/journal/12076
Find related papers by JEL classification:
- R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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