CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id DDSS2006-PB-69
authors Noriel Christopher C. Tiglao
year 2006
title Improving Social Policy through Spatial Information - Application of small area estimation and spatial microsimulation methods in geographical targeting
source Van Leeuwen, J.P. and H.J.P. Timmermans (eds.) 2006, Progress in Design & Decision Support Systems in Architecture and Urban Planning, Eindhoven: Eindhoven University of Technology, ISBN-10: 90-386-1756-9, ISBN-13: 978-90-386-1756-5, p. 69-84
summary The major goal of social policy in most developing countries is poverty alleviation. The ultimate challenge for policymakers is to use the available resources of the Government in order to provide the greatest possible assistance to those who need it most. Geographical targeting has emerged as one of the more feasible and efficient targeting methods. However, its full utilization is seriously hampered by the lack of the needed data sets. On the other hand, new computational approaches have great potential in providing spatially-disaggregate information. The paper explores the application of small area estimation and spatial microsimulation methods in geographical targeting.
keywords Poverty targeting, Spatial information, Microsimulation, Small area estimation
series DDSS
full text file.pdf (1,157,679 bytes)
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