1. Small area estimation of poverty indicators under partitioned area-level time models
- Author
-
Morales, D., Maria Chiara Pagliarella, and Salvatore, R.
- Subjects
62D05, 62J05 ,Area-level models ,Small area estimation ,Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC] ,Time correlation ,62 Statistics::62J Linear inference, regression [Classificació AMS] ,Area-level models, small area estimation, time correlation, poverty indicators ,Poverty indicators ,62 Statistics::62D05 Sampling theory, sample surveys [Classificació AMS] - 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.
- Published
- 2015