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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have