M-quantile small area estimation methods constitute a set of advanced statistical inference techniques that can be used for the measurement of poverty and living conditions by survey practitioners, researchers in private and public organi- zations, official statistical agencies and local governmental agencies. In particular, the estimates produced using these small area estimation methods are well suited to mapping geographical variations in these conditions. In this paper, we summarize the ideas set out in some recent papers on M-quantile methods and their extensions and also comment on important issues that arise when small area estimation meth- ods are used in in poverty assessment in three Italian Regions.
M-Quantile Small Area Models for Measuring Poverty at a Local LeveI
PRATESI, MONICA
2014-01-01
Abstract
M-quantile small area estimation methods constitute a set of advanced statistical inference techniques that can be used for the measurement of poverty and living conditions by survey practitioners, researchers in private and public organi- zations, official statistical agencies and local governmental agencies. In particular, the estimates produced using these small area estimation methods are well suited to mapping geographical variations in these conditions. In this paper, we summarize the ideas set out in some recent papers on M-quantile methods and their extensions and also comment on important issues that arise when small area estimation meth- ods are used in in poverty assessment in three Italian Regions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
