A spatial decomposition of the Gini coefficient
Sergio Rey () and
Richard Smith
Letters in Spatial and Resource Sciences, 2013, vol. 6, issue 2, 55-70
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. Copyright Springer-Verlag 2013
Keywords: Spatial inequality; Spatial autocorrelation; R1; D63; R12; C15; C63 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://hdl.handle.net/10.1007/s12076-012-0086-z (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lsprsc:v:6:y:2013:i:2:p:55-70
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12076
DOI: 10.1007/s12076-012-0086-z
Access Statistics for this article
Letters in Spatial and Resource Sciences is currently edited by Henk Folmer and Amitrajeet A. Batabyal
More articles in Letters in Spatial and Resource Sciences from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().