This paper introduces a three-fold Fay–Herriot model with random effects at three
hierarchical levels. Small area best linear unbiased predictors of linear indicators are …

Small area estimation (SAE) entails estimating characteristics of interest for domains, often
geographical areas, in which there may be few or no samples available. SAE has a long …

Abstract The bivariate Fay–Herriot model is an area-level linear mixed model that can be
used for estimating the domain means of two correlated target variables. Under this model …

The purpose of the Dutch Travel Survey is to produce reliable estimates on mobility of the
Dutch population. In this paper mobility trends are estimated at several aggregation levels …

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 …

This article develops model-based predictors for area-level proportions of employed men
and women by occupation sectors and for entropies and divergence indexes (DIs) within …

Socioeconomic indicators play a crucial role in monitoring political actions over time and
across regions. Income-based indicators such as the median income of sub-populations can …

Major depression is a severe mental disorder that is associated with strongly increased
mortality. The quantification of its prevalence on regional levels represents an important …

Small area estimation of multivariable non-linear domain indicators using aggregated data
is addressed. By assuming that the target vector follows a multivariate Fay-Herriot model …

Assessing regional population compositions is an important task in many research fields.
Small area estimation with generalized linear mixed models marks a powerful tool for this …