Estimating Poverty Rates in Target Populations

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Tác giả: Alexis Diamond

Ngôn ngữ: eng

Ký hiệu phân loại: 741.59 Collections

Thông tin xuất bản: World Bank, Washington, DC, 2016

Mô tả vật lý:

Bộ sưu tập: Tài liệu truy cập mở

ID: 291876

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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