Disaggregating data in household surveys: Using small area estimation methodologies
Household surveys are widely used as a tool for obtaining information on people's socio-economic status and well-being. However, the accuracy of household survey estimates decreases significantly when it comes to making inferences for population groups who represent disaggregations for which the survey was not designed. It is possible, in this context, to use estimation processes that combine information from household surveys with existing auxiliary information at population level, such as censuses or administrative records. This paper offers a methodological guide to the combination of survey statistical techniques with probabilistic models in order to produce disaggregations for interest groups, known as small area estimation (SAE) techniques.
| Main Author: | |
|---|---|
| Format: | Texto biblioteca |
| Language: | English |
| Published: |
ECLAC
2022-09-06
|
| Subjects: | ENCUESTAS DE HOGARES, METODOLOGIA ESTADISTICA, ESTADISTICA, INDICADORES SOCIALES, POBREZA, IGUALDAD, MODELOS MATEMATICOS, ESTUDIOS DE CASOS, HOUSEHOLD SURVEYS, STATISTICAL METHODOLOGY, STATISTICS, SOCIAL INDICATORS, POVERTY, EQUALITY, MATHEMATICAL MODELS, CASE STUDIES, |
| Online Access: | https://hdl.handle.net/11362/48107 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|