Examining a weight reallocation method for small area estimation of poverty
Arturo Martínez
Abstract
Arturo Martínez
Abstract
Small area estimation methodologies used in poverty estimation usually entail significant data requirements and sophisticated modeling techniques. However, there is a growing need for simpler small area estimation tools which can be easily institutionalized by national statistical offices of developing countries. Using a survey reweighting method, the paper demonstrates a more straightforward approach of estimating poverty statistics at the sub-domain level.
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Small area estimation methodologies used in poverty estimation usually entail significant data requirements and sophisticated modeling techniques. However, there is a growing need for simpler small area estimation tools which can be easily institutionalized by national statistical offices of developing countries. Using a survey reweighting method, the paper demonstrates a more straightforward approach of estimating poverty statistics at the sub-domain level.
Key concepts: Small area estimation, Estimation, Poverty, Computer science, Econometrics, Domain (mathematical analysis), Statistics, Mathematics