Small area estimation of proportions under area-level compositional mixed models
15.03.2019 11:15 – 12:15
RESEARCH CENTER FOR STATISTICS SEMINAR / 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 analyze 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.
Lieu
Bâtiment: Uni Mail
Bd du Pont-d'Arve 40
1205 Geneva
Room: M 5220, 5th floor
Organisé par
Faculté d'économie et de managementResearch Center for Statistics
Intervenant-e-s
Domingo MORALES, Professor at Centro de Investigación Operativa, Universidad Miguel Hernández de Elche, Spainentrée libre
Classement
Catégorie: Séminaire
Mots clés: Linear mixed models, Small area estimation, Time correlation, Poverty proportions