Abstract
AbstractM-quantile small area estimation (SAE) 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 organizations, official statistical agencies, and local governmental agencies. In particular, the estimates produced using these SAE 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 SAE methods are used in poverty assessment in three Italian Regions.KeywordsM-quantile modelsPoverty mappingSmall area estimation
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
