Regression trees for poverty mapping

DOI10.1111/anzs.12312zbMath1522.62317MaRDI QIDQ6057866

Geoffrey Jones, Unnamed Author, Siva Ganesh, Stephen J. Haslett

Publication date: 5 October 2023

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

small area estimationcomplex survey datasustainable development goalspoverty gappoverty severity

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Statistical methods; economic indices and measures (91B82)

Cites Work

• Small area estimation of poverty indicators
• Classification trees for poverty mapping
• Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators
• A Class of Decomposable Poverty Measures
• Micro-Level Estimation of Poverty and Inequality
• Random forests
• A Comparison of Methods for Poverty Estimation in Developing Countries

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