How Well Can We Target Resources with 'Quick-and-Dirty' Data?: Empirical Results from Cambodia

SMU Economics & Statistics Working Paper No. 03-2006

27 Pages Posted: 2 Aug 2006

See all articles by Tomoki Fujii

Tomoki Fujii

Singapore Management University - School of Economics

Date Written: February 2006

Abstract

We compare two methods of commune-level poverty rankings in Cambodia, one based on the small-area estimation and the other based on the principal component analysis of aggregate data. We also compare them against the rankings based on the local leaders. While all of the three produce reasonably consistent rankings, the choice of the method matters. Our calculation shows about a quarter of the potential gains from geographic targeting can be captured by using the aggregate data. The usefulness of such aggregate data in general would depend on the cost of data collection.

Keywords: Cambodia, Poverty, Small-area Estimation, Principal Component, Targeting

JEL Classification: O20, I32

Suggested Citation

Fujii, Tomoki, How Well Can We Target Resources with 'Quick-and-Dirty' Data?: Empirical Results from Cambodia (February 2006). SMU Economics & Statistics Working Paper No. 03-2006. Available at SSRN: https://ssrn.com/abstract=920582 or http://dx.doi.org/10.2139/ssrn.920582

Tomoki Fujii (Contact Author)

Singapore Management University - School of Economics ( email )

90 Stamford Road
178903
Singapore
+6568280279 (Phone)
+6568280833 (Fax)

HOME PAGE: http://www.mysmu.edu/faculty/tfujii/

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
41
Abstract Views
475
PlumX Metrics