Small area estimation of proportions under area-level compositional mixed models
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Small area estimation of proportions under area-level compositional mixed modelsAutor(es)
Data
2020-09Cita bibliográfica
Esteban, M.D., Lombardía, M.J., López-Vizcaíno, E. et al. Small area estimation of proportions under area-level compositional mixed models. TEST 29, 793–818 (2020). https://doi.org/10.1007/s11749-019-00688-w
Resumo
[Abstract]: This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable are derived from the new model, and the corresponding mean squared errors are estimated by parametric bootstrap. Several simulation experiments designed to analyse the behaviour of the introduced estimators are carried out. An application to real data from the Spanish Labour Force Survey of Galicia (north-west of Spain), in the first quarter of 2017, is given. The target is the estimation of domain proportions of people in the four categories of the variable labour status: under 16 years, employed, unemployed and inactive.
Palabras chave
Labour Force Survey
Small area estimation
Area-level models
Compositional data
Bootstrap
Labour status
Small area estimation
Area-level models
Compositional data
Bootstrap
Labour status
Versión do editor
Dereitos
Atribución 3.0 España
ISSN
1863-8260