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Operational Poverty Targeting In Peru ? Proxy Means Testing With Non-Income Indicators

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Author Info
Julia Johannsen () (Department of Agricultural Economics and Rural Development, University of Goettingen, Germany)
Abstract

he measurement of per capita daily expenditures relative to a monetary poverty line, also known as ?sophisticated means testing?, is the most widely used approach to poverty assessment. However, it is reliant on the implementation of time- and cost-intensive household surveys. Hence, for operational purposes, it is not an effective method for targeting poor households with development services. This paper shows how to identify an alternative poverty assessment tool for Peru. The tool consists of a maximum of 15 indicators that are powerful predictors of per capita household expenditures. The indicators were selected out of a wide range of indicators used to gauge different poverty dimensions. The resultant poverty classification of households is based on the ?percent point function? of the predicted expenditures and validated by various accuracy measures and their confidence intervals. The results reveal that the 15 indicators correctly identify over 81 per cent of poor households when the national poverty line is employed as the benchmark. Thus, this tool might be considered, under certain conditions, as an alternative to the collection of detailed expenditure data. It offers an operational instrument for fairly accurate ex-ante poverty targeting and ex-post impact assessments.

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File URL: http://www.undp-povertycentre.org/pub/IPCWorkingPaper30.pdf
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File Function: First version, 2006
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Publisher Info
Paper provided by International Poverty Centre in its series Working Papers with number 30.

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Length: 20
Date of creation: Oct 2006
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Publication status: Published by UNDP - International Poverty Centre, October 2006, pages 1-20
Handle: RePEc:ipc:wpaper:30

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Keywords: Poverty targeting Targeting accuracy Expenditure predictions Percent point function Latin America Peru

Find related papers by JEL classification:
I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
O57 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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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.:
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    Other versions:
  2. Hentschel, Jesko, et al, 2000. "Combining Census and Survey Data to Trace the Spatial Dimensions of Poverty: A Case Study of Ecuador," World Bank Economic Review, Oxford University Press, vol. 14(1), pages 147-65, January.
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