Disaggregating data in household surveys: Using small area estimation methodologies
Isabel Molina
Estudios Estadísticos from Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL)
Abstract:
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.
Date: 2022-09-06
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://repositorio.cepal.org/handle/11362/48107
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ecr:col027:48107
Access Statistics for this paper
More papers in Estudios Estadísticos from Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL) Contact information at EDIRC.
Bibliographic data for series maintained by Biblioteca CEPAL ().