Abstract
AbstractThis paper introduces an area-level Poisson mixed model with SAR(1) spatially correlated random effects. Small area predictors of proportions and counts are derived from the new model and the corresponding mean squared errors are estimated by parametric bootstrap. The behaviour of the introduced predictors is empirically investigated by running model-based simulation experiments. An application to real data from the Spanish living conditions survey of Galicia (Spain) is given. The target is the estimation of domain proportions of women under the poverty line.
Funder
Ministerio de Economía, Industria y Competitividad, Gobierno de España
Generalitat Valenciana
Xunta de Galicia
GAIN (Galician Innovation Agency) and the Regional Ministry of Economy, Employment and Industry
Centro de Investigacion del Sistema universitario de Galicia
Universidade da Coruña
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
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