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

dc.creatorEdig, Xenia van
dc.creatorSchwarze, Stefan
dc.creatorZeller, Manfred
dc.date2017-04-01T20:05:59Z
dc.date.accessioned2026-07-09T07:22:11Z
dc.descriptionThis 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.
dc.identifierOther:ISSN 0049-8599
dc.identifierdoi:10.22004/ag.econ.155485
dc.identifierhttps://ageconsearch.umn.edu/record/155485/files/2_van%20Edig.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/155485
dc.identifier.urihttp://hdl.handle.net/123456789/587525
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/155485
dc.titlePoverty Assessment by Proxy-Means Tests: Are Indicator-Based Estimations Robust over Time? A Study from Central Sulawesi, Indonesia
dc.typeText

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