Poverty Assessment by Proxy-Means Tests: Are Indicator-Based Estimations Robust over Time? A Study from Central Sulawesi, Indonesia

This study aims to test 1. whether two indicator-based tools for poverty assessment in rural Central Sulawesi, Indonesia, developed in 2005 are capable of predicting absolute poverty in 2007, and 2. whether the indicator composition of these poverty assessment tools remains robust over time. In 2005 and 2007 we surveyed 264 households in Central Sulawesi to obtain indicators of poverty and to derive their daily per capita consumption expenditures. Ordinary least squares and quantile regression models were fit to these data sets. Each of the models yielded a different set of 15 indicators for poverty prediction. Applying the 2005 indicators to the 2007 data set, the prediction power of the indicators from 2005 mainly was influenced by the error of over-predicting poverty in 2007. When re-estimating the regression models with the 2007 data set, the accuracy levels were found to be similar, but the indicator composition of the tools changed.

Issue Date:
Publication Type:
Journal Article
DOI and Other Identifiers:
ISSN 0049-8599 (Other)
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Published in:
Quarterly Journal of International Agriculture, Volume 52, Number 1
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JEL Codes:
I32; C23; C52; R29
Series Statement:
Quarterly Journal of International Agriculture 52 (2013)

 Record created 2017-04-01, last modified 2018-01-22

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