Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches
The performance of the Simple Poverty Scorecard is compared against the performance of established regression-based estimators. All estimates are benchmarked against observed poverty status based on household expenditure (or income) data from household socioeconomic surveys that span nearly a decade...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Washington, D.C
The World Bank
2016
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| Schriftenreihe: | World Bank E-Library Archive
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| Online-Zugang: | kostenfrei |
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| Zusammenfassung: | The performance of the Simple Poverty Scorecard is compared against the performance of established regression-based estimators. All estimates are benchmarked against observed poverty status based on household expenditure (or income) data from household socioeconomic surveys that span nearly a decade and are representative of subnational populations. When the models all adopt the same "one-size-fits-all" training approach, there is no meaningful difference in performance and the Simple Poverty Scorecard is as good as any of the regression-based estimators. The findings change, however, when the regression-based estimators are "trained" on "training sets" that more closely resemble potential subpopulation test sets. In this case, regression-based models outperform the nationally calculated Simple Poverty Scorecard in terms of bias and variance. These findings highlight the fundamental trade-off between simplicity of use and accuracy |
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| Beschreibung: | 1 Online-Ressource (56 p) |
| DOI: | 10.1596/1813-9450-7793 |