Autor/es de la URV: Salvatore, Renato Pagliarella, Maria Chiara Morales, Domingo

Palabras clave: Area-level models, small area estimation, time correlation, poverty indicators

Resumen: 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.

Año de publicación de la revista: 2015

Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article