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Accuracy Results for 12 Poverty Assessment Tool Countries

Using the results of accuracy tests to develop and refine poverty assessment tools
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Judging the accuracy of poverty assessment tools helps to refine and evaluate their performance. This document presents results from the tests conducted in twelve countries as part of the Poverty Assessment Tools Project. It highlights that:

  • For eight countries - Albania, Ghana, Guatemala, Kazakhstan, Jamaica, Peru, Tajikistan and Vietnam - the poverty line to classify the very poor has been derived from median consumption expenditure of the households that were classified as poor by the official poverty line;
  • For remaining four countries - Bangladesh, India (Bihar and Uttar Pradesh), Madagascar, and Uganda - the international poverty line of US$1.08 a day (in local purchasing power parity terms) is used to generate the accuracy figures.

Further, the data tables are organized in a manner such that:

  • The type of poverty line used for each country is displayed next to its name and the poverty rate is listed under the country's name;
  • All results are based on models with controls, plus 15 best predictors;
  • The best model for each country is in bold and the second-best model is in italics.

About this Publication

By The IRIS Center
Published