Publication Type
Journal Article
Version
publishedVersion
Publication Date
10-2008
Abstract
We compare commune-level poverty rankings in Cambodia based on three different methods: small-area estimation, principal component analysis using aggregate data, and interviews with local leaders. While they provide reasonably consistent rankings, the choice of the ranking method matters. In order to assess the potential losses from moving away from census-based poverty mapping, we used the concentration curve. Our calculation shows that about three-quarters of the potential gains from geographic targeting may be lost by using aggregate data. The usefulness of aggregate data in general would depend on the cost of data collection.
Keywords
Asia, Cambodia, poverty, principal component, small-area estimation, targeting
Discipline
Asian Studies | Economics | Public Economics
Research Areas
Applied Microeconomics
Publication
World Development
Volume
36
Issue
10
First Page
1830
Last Page
1842
ISSN
0305-750X
Identifier
10.1016/j.worlddev.2007.10.013
Publisher
Elsevier
Citation
Tomoki FUJII.
How well can we target aid with rapidly collected data? Empirical results for poverty mapping from Cambodia. (2008). World Development. 36, (10), 1830-1842.
Available at: https://ink.library.smu.edu.sg/soe_research/1940
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.worlddev.2007.10.013