A geographically weighted regression method to spatially disaggregate regional employment forecasts for South East Queensland

Li, Tiebei, Corcoran, Jonathan, Pullar, David, Robson, Alistair and Stimson, Robert J. (2009) A geographically weighted regression method to spatially disaggregate regional employment forecasts for South East Queensland. Applied Spatial Analysis and Policy, 2 2: 147-175. doi:10.1007/s12061-008-9015-3

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Author Li, Tiebei
Corcoran, Jonathan
Pullar, David
Robson, Alistair
Stimson, Robert J.
Title A geographically weighted regression method to spatially disaggregate regional employment forecasts for South East Queensland
Journal name Applied Spatial Analysis and Policy   Check publisher's open access policy
ISSN 1874-463X
1874-4621
Publication date 2009-07
Year available 2008
Sub-type Article (original research)
DOI 10.1007/s12061-008-9015-3
Open Access Status
Volume 2
Issue 2
Start page 147
End page 175
Total pages 29
Editor John Stillwell
Mark Birkin
Place of publication Dordrecht, The Netherlands
Publisher Springer Netherlands
Collection year 2009
Language eng
Subject C1
160404 Urban and Regional Studies (excl. Planning)
910103 Economic Growth
1205 Urban and Regional Planning
1603 Demography
Abstract In this paper we present a new methodology by which regional employment forecasts can be spatially disaggregated to smaller administrative units. We develop a statistical model for disaggregating spatial data based upon related employment determinants (for example, the proximity of an area to a shopping centre), demonstrating there is a degree of spatial dependence and spatial heterogeneity in relationships. Applying an advanced statistical procedure, Geographically Weighted Regression (GWR), to account for these spatial effects this method utilises the locally fitted relationships to estimate employment numbers at the smaller geography whilst being constrained by the regional forecast. Results demonstrate that our GWR method generates superior estimates over a global regression model for spatially disaggregating regional employment forecasts. © Springer Science + Business Media B.V. 2008
Keyword Employment forecast
Spatial heterogeneity
Spatial dependence
Spatial disaggregation
Geographically weighted regression
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online: 25 November 2008

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2009 Higher Education Research Data Collection
Social Research Centre Publications
 
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Created: Tue, 07 Apr 2009, 11:57:13 EST by Ms Christina Wilson on behalf of Social Research Centre