Developing and evaluating small-area indicators of the neighbourhood social environment
Developing and evaluating small-area indicators of the neighbourhood social environment
We describe a method of producing small-area estimates of characteristics of the neighbourhood social environment, such as participation in associational life. The method may be characterised as ‘modelling nationally, and predicting locally’ because the initial models are estimated using multilevel data derived from national datasets, calibrated to allow for within-region as well as between-region variation. These models produce coefficients which can then be applied to socioeconomic data at the local scale. As an example we outline a model of the determinants of volunteering. This indicates significant variation between places in the relationship between individual and area characteristics which influence the probability of volunteering. Then we proceed to show how this can be used to generate predictions of the variations between places in a number of aspects of the social environment. The estimates we produce are validated against survey data from other surveys, and a satisfactory degree of correlation is obtained, giving us confidence in the estimates we have produced.
2173-2192
Twigg, Liz
01d0f96b-aee7-4f4d-ad3f-e177231005f6
Barnard, Steve
edbd8ffc-5cb4-42a0-ae03-e276b3135eab
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e
2006
Twigg, Liz
01d0f96b-aee7-4f4d-ad3f-e177231005f6
Barnard, Steve
edbd8ffc-5cb4-42a0-ae03-e276b3135eab
Jones, Kelvyn
0df468d5-eeec-4694-8415-352df0e2e36e
Twigg, Liz, Barnard, Steve and Jones, Kelvyn
(2006)
Developing and evaluating small-area indicators of the neighbourhood social environment.
Environment and Planning A, 38 (11), .
(doi:10.1068/a36213).
Abstract
We describe a method of producing small-area estimates of characteristics of the neighbourhood social environment, such as participation in associational life. The method may be characterised as ‘modelling nationally, and predicting locally’ because the initial models are estimated using multilevel data derived from national datasets, calibrated to allow for within-region as well as between-region variation. These models produce coefficients which can then be applied to socioeconomic data at the local scale. As an example we outline a model of the determinants of volunteering. This indicates significant variation between places in the relationship between individual and area characteristics which influence the probability of volunteering. Then we proceed to show how this can be used to generate predictions of the variations between places in a number of aspects of the social environment. The estimates we produce are validated against survey data from other surveys, and a satisfactory degree of correlation is obtained, giving us confidence in the estimates we have produced.
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Published date: 2006
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Local EPrints ID: 34899
URI: http://eprints.soton.ac.uk/id/eprint/34899
PURE UUID: ac53aa26-9776-4d9e-8d3d-3a6e885883da
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Date deposited: 13 Jul 2006
Last modified: 15 Mar 2024 07:49
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Author:
Liz Twigg
Author:
Steve Barnard
Author:
Kelvyn Jones
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