Pull Your Small Area Estimates Up by the Bootstraps

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
Format: Working Paper
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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