Small area estimation of poverty indicators under partitioned area-level time models

Identificador:  RP:2422

Handle: https://hdl.handle.net/20.500.11797/RP2422

Autors:  Salvatore, Renato; Pagliarella, Maria Chiara; Morales, Domingo

Resum:
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.