Título: Small area estimation of poverty indicators under partitioned area-level time models
Ponente: Maria Chiara Pagliarella (INAPP of Rome and University of Cassino and Southern Lazio)
Organizador: Domingo Morales
Date: Jueves 1 de julio de 2021 a las 12:00 horas.
Abstract: This paper deals with small area estimation of poverty indicators. Small area estimators of these quantities are derived from partitioned time-dependent area-level linear mixed models. The introduced models are useful for modelling the different behaviour of the target variable by sex or any other dichotomic characteristic. The mean squared errors are estimated by explicit formulas. An application to data from the Spanish Living Conditions Survey is given.