Poverty mapping with aggregate census data: what is the loss in precision?
Spatially disaggregated maps of the incidence of poverty can be constructed by combining household survey data and census data. In some countries (notably China and India), national statistics agencies are reluctant, for reasons of confidentiality, to release household‐level census data, but they ar...
| Autores principales: | , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2005
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/172332 |
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Poverty mapping with aggregate census data: what is the loss in precision?
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Poverty mapping with aggregate census data: what is the loss in precision?
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Poverty mapping with aggregate census data: what is the loss in precision?
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