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), however, national statistics agencies are reluctant, for reasons of confidentiality, to release household-level census data to...
| Autores principales: | , |
|---|---|
| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
2003
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/157845 |
Ejemplares similares: Poverty mapping with aggregate census data: what is the loss in precision?
- Poverty mapping with aggregate census data: what is the loss in precision?
- Poverty mapping with aggregate census data: what is the loss in precision?
- Poverty mapping with aggregate census data: what is the loss in precision?
- A long-term census and survey program for Ghana
- The use of unit-level census data for research on poverty: a multiscale approach
- What the new livestock census has to say on Indian dairying?