| 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) |
| references |
Content-type: text/plain
|
Baker, Judy and M. Grosh (1994)
 Poverty reduction through geographic targeting: How well does it work?
, World Development, 22(7): 983-995
|
|
|
|
|
Battese, G.E., R.M. Harter and W.A. Fuller (1988)
An Error Component Model for Prediction of Country Crop Areas Using Survey and Satellite Data
, Journal of the American Statistical Association, 83: 28-36
|
|
|
|
|
Bigman, D. and H. Fofack (2000)
Geographical Targeting for Poverty Alleviation: An Introduction to the Special Issue
, World Bank Economic Review, 14(1): 129-145
|
|
|
|
|
Bigman, D. and U. Deichmann (2000)
Geographical Targeting: A Review of Different Methods and Approaches
, Bigman, D. and H. Fofack (eds.), Geographical Targeting for Poverty Alleviation: Methodology and Applications, The World Bank Regional and Sectoral Studies, p. 43-73
|
|
|
|
|
Clarke, G. and E. Holm (1987)
Microsimulation Methods in Spatial Analysis and Planning
, Geografiska Annaler B, 69(2): 145-164
|
|
|
|
|
Clarke, G. (1996)
Microsimulation for Urban and Regional Policy Analysis
, Pion Ltd., London
|
|
|
|
|
Durrant, F. (1995)
Role of Information in Social Policymaking: Latin America and the Caribbean
, Social Policy in a Global Society: Parallels and Lessons from the Canada–Latin America Experience, Morales-Gómez, D. and Mario Torres A. (eds.), IDRC
|
|
|
|
|
Fay, R. E. III and Herriot, R. A. (1979)
Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data
, Journal of the American Statistical Association, 74(366): 269.277
|
|
|
|
|
Ghosh, M., and J.N.K. Rao (1994)
Small Area Estimation: An Appraisal
, Statistical Science, 9(1): 55-93
|
|
|
|
|
Lee, L. F. and R. P. Trost (1978)
Estimation of Some Limited Dependent Variable Models with Application to Housing Demand
, Journal of Econometrics, 8: 357-383
|
|
|
|
|
Rao, J.N.K. (1999)
Some Recent Advances in Model-Based Small Area Estimation
, Survey Methodology, 25(2): 175-186
|
|
|
|
|
Tiglao, N. C. (2002)
Small Area Estimation and Spatial Microsimulation of Household Characteristics in Developing Counties with Focus on Informal Settlements in Metro Manila
, Unpublished Ph.D. Dissertation, University of Tokyo
|
|
|
|
|
Tiglao, N. (2004)
Spatial Microsimulation and Small Area Estimation of Household Characteristics in Metro Manila: Towards Effective Geographical Targeting of Urban Poverty
, Paper presented during the International Conference on Official Poverty Statistics: Methodology and Comparability, 4-6 October 2004, EDSA Shangri-la Hotel, Mandaluyong City, Philippines
|
|
|
|
| last changed |
2006/08/29 12:55 |
|
