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Bayesian analysis of the multivariate geographical distribution of the socio-economic environment in England

โœ Scribed by Juan J. Abellan; Daniela Fecht; Nicky Best; Sylvia Richardson; David J. Briggs


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
199 KB
Volume
18
Category
Article
ISSN
1180-4009

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โœฆ Synopsis


Abstract

In this paper we analyse the geographical distribution of the Indices of Deprivation 2004, a set of seven areaโ€based indices measuring multiple dimensions of socioโ€economic status (SES) related to income, employment, education, health, access to services and housing, crime, and living environment in England at district level. We first study all the seven SES โ€˜domainsโ€™ separately using spatial hierarchical models to assess the level of underlying geographical structure in each of them. We then explore their joint relationships using a spatial factor model that extracts the information common and specific to the income, employment and education domains and regress the other domains on the extracted components. We use Bayesian inference throughout. Results show that all seven domains present strong spatial structure. The income, employment, education and health domains largely share the same information, which moderately overlaps with the crime and environment domains. The domain on access to services and housing is quite different from the others. The geographical patterns found in the latent common and specific factors are however difficult to interpret without further complementary information. Further investigation is required to identify plausible causal processes related to current economic and regional policies, and also to historic factors and their longโ€lasting socioโ€economic legacy. Copyright ยฉ 2007 John Wiley & Sons, Ltd.


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