2014Università del SalentoOpen access

Examining a weight reallocation method for small area estimation of poverty

Arturo Martínez

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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.

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Available 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.

Key concepts: Small area estimation, Estimation, Poverty, Computer science, Econometrics, Domain (mathematical analysis), Statistics, Mathematics

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