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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/935587

Title
Developing spatial measures of residential segregation using kernel density estimation
Author/Creator
Watts, Martin J.
Description
In the USA residential segregation has been shown to reinforce racial inequality and promote labour market segregation through income polarisation and differential rates of unemployment. However the available population data can compromise the measurement of residential segregation due to the MAUP and the checkerboard problem. Also debate continues over the desirable criteria of residential segregation indexes. This paper has two objectives: i) to investigate the use of kernel density estimation as a means of spatially smoothing population data prior to the measurement of residential segregation ; and ii) to explore the merits of different criteria underpinning spatial measures of residential segregation, given the arguments of Reardon and O'Sullivan and other contemporary literature. These objectives will be illustrated by the analysis of residential segregation in the Sydney Commuting Area in 2001, using different parameter values for the underlying kernel density estimation.
Relation
The Challenge to Restore Full Employment: Incorporating the 9th Path to Full Employment Conference and 14th National Conference on Unemployment. The Challenge to Restore Full Employment: Incorporating the 9th Path to Full Employment Conference and 14th National Conference on Unemployment: Proceedings: Refereed Papers (Newcastle, N.S.W. 6-7 December, 2007) p. 344-356
Date
2007
Publisher
Centre of Full Employment and Equity, University of Newcastle
Keyword(s)
residential segregation;  racial inequality;  income polarisation;  labour markets
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/935587
Identifier
ISBN:9781920701895
Language
eng
Reviewed
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"Developing spatial measures of residential segregation using kernel density estimation"
 
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