Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

An accessible introduction to indirect estimation methods, both traditional and model-based.
Readers will also find the latest methods for measuring the variability of the estimates as …

Small area estimation is a growing area of research for making inferences over geographic,
demographic, or temporal domains smaller than those in which a particular survey data set …

Background Undernutrition is a pervasive condition in Afghanistan, and prevalence is
among the highest in the world. We aimed to comprehensively assess district-level …

This paper evaluates the benefits of combining household surveys with satellite and other
geospatial data to generate small area estimates of non-monetary poverty. Using data from …

Area level models, such as the Fay–Herriot model, aim to improve direct survey estimates for
small areas by borrowing strength from related covariates and from direct estimates across …

Summary The Fay–Herriot model is a standard model for direct survey estimators in which
the true quantity of interest, the superpopulation mean, is latent and its estimation is …

Small area estimates based on the widely used area-level model proposed in Fay and
Herriot (1979) assume that the area-level direct estimates are spatially uncorrelated. In …

This paper introduces a temporal bivariate area-level linear mixed model with independent
time effects for estimating small area socioeconomic indicators. The model is fitted by using …

A model-based small area method for calculating estimates of poverty rates based on
different thresholds for subsets of the Italian population is proposed. The subsets are …