Publication Type

Journal Article

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

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org/10.1016/j.worlddev.2007.10.013

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