Assessing alternative poverty proxy methods in rural Vietnam

Vu, L and Baulch, B 2011, 'Assessing alternative poverty proxy methods in rural Vietnam', Oxford Development Studies, vol. 39, no. 3, pp. 341-362.


Document type: Journal Article
Collection: Journal Articles

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Title Assessing alternative poverty proxy methods in rural Vietnam
Author(s) Vu, L
Baulch, B
Year 2011
Journal name Oxford Development Studies
Volume number 39
Issue number 3
Start page 341
End page 362
Total pages 22
Publisher Routledge
Abstract This paper compares and contrasts the use of four "short-cut" methods for identifying poor households: the poverty probability method; ordinary least squares regressions; principal components analysis; and quantile regressions. After evaluating these four methods using two alternative criteria (total and balanced poverty accuracy) and representative household survey data from rural Vietnam, it is concluded that the poverty probability method-which can correctly identify around four-fifths of poor and non-poor households-is the most accurate "short-cut" method for measuring poverty for specific subpopulations, or in years when household surveys are not available. The performance of the poverty probability method was then tested with different poverty lines and using an alternative household survey, and found to be robust
Subject Applied Economics not elsewhere classified
DOI - identifier 10.1080/13600818.2011.599207
Copyright notice © 2011 Oxford Department of International Development
ISSN 1360-0818
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