Operational Poverty Targeting by Means of Proxy Indicators - The Example of Peru
The measurement of per capita daily expenditures which are compared with a monetary poverty line is the most widely used approach regarding poverty assessment. It is, however, based on the implementation of time and cost-intensive household surveys and, therefore, not an operational method for targeting poor households with development services. The paper shows how to identify an alternative poverty assessment tool for Peru. It consists of a maximum of 15 powerful predictors of per-capita household expenditures selected out of a wide range of indicators from different poverty dimensions such as education, assets and housing characteristics. By applying the maximizing-R-squared regression technique to identify the best 5 to 15 predictors, we avoid an arbitrary indicator selection and the application of external weights. In a second step, an innovative approach based on the percent point function of the predicted expenditures is used for the poverty classification of households. The resulting poverty classification of households, as validated by different accuracy measures and their 95% confidence intervals, reveals that the 15 indicator tool correctly identifies over 81% of the poor households when taking the national poverty line as the relevant benchmark. The high accuracy in terms of its predictive power is confirmed by out-of-sample tests and suggests that the tool is an interesting alternative to the collection of detailed expenditure data. Before employing the tool in practice, the indicators still have to be tested for their robustness across time and then transformed to a short, focused questionnaire suitable for both ex-ante poverty targeting and ex-post impact assessment.
|Date of creation:||2006|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.iaae-agecon.org/|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Ravallion, Martin, 1988. "Expected Poverty under Risk-Induced Welfare Variability," Economic Journal, Royal Economic Society, vol. 98(393), pages 1171-82, December.
- Alkire, Sabina, 2005.
"Valuing Freedoms: Sen's Capability Approach and Poverty Reduction,"
Oxford University Press, number 9780199283316, March.
- Alkire, Sabina, 2002. "Valuing Freedoms: Sen's Capability Approach and Poverty Reduction," OUP Catalogue, Oxford University Press, number 9780199245796, March.
- Ravallion, M., 1992. "Poverty Comparisons - A Guide to Concepts and Methods," Papers 88, World Bank - Living Standards Measurement.
- Ahmed, Akhter U. & Bouis, Howarth E., 2002. "Weighing what's practical: proxy means tests for targeting food subsidies in Egypt," Food Policy, Elsevier, vol. 27(5-6), pages 519-540.
- Filmer, Deon & Pritchett, Lant, 1998. "Estimating wealth effects without expenditure data - or tears : with an application to educational enrollments in states of India," Policy Research Working Paper Series 1994, The World Bank.
- Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
- Sen, Amartya, 1988. "The concept of development," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 1, chapter 1, pages 9-26 Elsevier.
When requesting a correction, please mention this item's handle: RePEc:ags:iaae06:25492. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.