A. Aneiros-Batista, M. J. Lombardía Cortiña, E. López Vizcaíno, S. A. Sperlich
This study introduces an area-level mixed model, a component of the Fay-Herriot framework, aimed at estimating labor force indicators at province level in Spain. The proposed model extends the traditional univariate approach to generate estimates for labor force and sociodemographic variables of interest, disaggregated by demographic factors. Additionally, a benchmarking process ensures coherence with Hájek direct estimators. The model’s performance is assessed by estimating mean squared errors using parametric bootstrap methods, with estimators obtained through restricted maximum likelihood estimation. To demonstrate its application, labor force survey data are analyzed, showcasing the model's utility in producing reliable estimates. This research forms part of a broader project funded by the Spanish National Institute of Statistics (INE) under the ETD/503/2021 grant, within the framework of Research in Line 7.
Palabras clave: Area-level mixed model, Fay-Herriot framework, Small area estimation, Labor force survey, Benchmarking.
Programado
Estimación en áreas pequeñas
12 de junio de 2025 17:10
MR 1