How Accurate is Participatory Wealth Ranking (PWR) in Targeting the Poor? A Case Study from Bangladesh
AbstractPWR is a participatory poverty assessment method that uses the ratings of local reference groups concerning the relative poverty status of households in their community. This paper assesses the accuracy of PWR in predicting absolute (income) poverty, and compares PWR with three other poverty assessment methods. Using a village census in 8 villages located in three of the six divisions of Bangladesh, 1660 households have been scored using the PWR method. A randomly selected subsample of 320 households was interviewed with a questionnaire employing the Living Standard Measurement Survey (LSMS) method. The data allow the identification of households that have per-capita expenditures below the international poverty line of 1 dollar a day. Our results show that calibrated PWR scores can achieve an accuracy of 70 to 79 percent, i.e. up to 8 out of 10 households are correctly predicted as to whether they live in extreme poverty or not. As expected, the so-called Total Accuracy of PWR is higher if its scores are calibrated at lower geographical level, and highest if calibrated at the community level. For the case of Bangladesh, the results confirm the accuracy of PWR as a poverty targeting method for development policies and projects if used at the community level.
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Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia with number 25237.
Date of creation: 2006
Date of revision:
Participatory wealth ranking; poverty targeting; Bangladesh; LSM; Food Security and Poverty; I3; C8;
Find related papers by JEL classification:
- I3 - Health, Education, and Welfare - - Welfare and Poverty
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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- Sharma, Manohar, 2000. "Microfinance," MP05 briefs 0, International Food Policy Research Institute (IFPRI).
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