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Pull Your Small Area Estimates Up by the Bootstraps

After almost two decades of poverty maps produced by the World Bank and multiple advances in the literature, this paper presents a methodological update to the World Bank's toolkit for small area estimation. The paper reviews the computational...

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Bibliographic Details
Main Authors: Corral, Paul, Molina, Isabel, Nguyen, Minh
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
POVERTY MAPPING
SMALL AREA ESTIMATE
ELL
EMPIRICAL BEST
PARAMETRIC BOOTSTRAP
ELBERS, LANJOUW AND LANJOUW
HETEROSCEDASTICITY
SURVEY WEIGHTS
MEAN SQUARED ERROR ESTIMATION
MONTE CARLO SIMULATION
Online Access:http://documents.worldbank.org/curated/en/714341590090749405/Pull-Your-Small-Area-Estimates-up-by-the-Bootstraps
http://hdl.handle.net/10986/33819

Internet

http://documents.worldbank.org/curated/en/714341590090749405/Pull-Your-Small-Area-Estimates-up-by-the-Bootstraps
http://hdl.handle.net/10986/33819

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