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...
Gespeichert in:
| 1. Verfasser: | |
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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
|
| Online-Zugang: | Volltext |
| 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 |
| Beschreibung: | 1 Online-Ressource (56 p) |
| DOI: | 10.1596/1813-9450-7793 |
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| 520 | |a 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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| spellingShingle | Diamond, Alexis Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| title | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| title_auth | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| title_exact_search | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| title_exact_search_txtP | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| title_full | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches Alexis Diamond |
| title_fullStr | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches Alexis Diamond |
| title_full_unstemmed | Estimating Poverty Rates in Target Populations An Assessment of the Simple Poverty Scorecard and Alternative Approaches Alexis Diamond |
| title_short | Estimating Poverty Rates in Target Populations |
| title_sort | estimating poverty rates in target populations an assessment of the simple poverty scorecard and alternative approaches |
| title_sub | An Assessment of the Simple Poverty Scorecard and Alternative Approaches |
| url | https://doi.org/10.1596/1813-9450-7793 |
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