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Process / pipelinePoverty mapping and small-area estimation

Poverty Mapping (Small-Area Estimation)

ELL poverty mapping, named after Chris Elbers, Jean Lanjouw, and Peter Lanjouw, is a small-area estimation method that produces poverty and inequality estimates for geographic units far smaller than a household survey can support on its own. It combines two data sources: a detailed household survey that measures consumption but covers too few households per locality, and a population census that covers everyone but does not measure consumption. The method estimates a model of consumption on variables common to both, imputes consumption into the census, and simulates to generate poverty estimates — with statistically valid standard errors — for districts, communes, or even villages, which are then drawn as poverty maps.

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Vyanzo

  1. Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro-Level Estimation of Poverty and Inequality. Econometrica, 71(1), 355-364. DOI: 10.1111/1468-0262.00399
  2. Bedi, T., Coudouel, A., & Simler, K. (Eds.) (2007). More Than a Pretty Picture: Using Poverty Maps to Design Better Policies and Interventions. World Bank, Washington, DC. ISBN: 9780821369319

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 22). ELL Poverty Mapping (Elbers-Lanjouw-Lanjouw Small-Area Estimation). ScholarGate. https://scholargate.app/sw/development-studies/small-area-estimation-poverty

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Imerejelewa na

ScholarGatePoverty Mapping (Small-Area Estimation) (ELL Poverty Mapping (Elbers-Lanjouw-Lanjouw Small-Area Estimation)). Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/development-studies/small-area-estimation-poverty · Seti ya data: https://doi.org/10.5281/zenodo.20539026