DOI: 10.1093/jssam/smad020 ISSN: 2325-0984
A Comprehensive Overview of Unit-Level Modeling of Survey Data for Small Area Estimation Under Informative Sampling
Paul A Parker, Ryan Janicki, Scott H Holan- Applied Mathematics
- Statistics, Probability and Uncertainty
- Social Sciences (miscellaneous)
- Statistics and Probability
Abstract
Model-based small area estimation is frequently used in conjunction with survey data to establish estimates for under-sampled or unsampled geographies. These models can be specified at either the area-level, or the unit-level, but unit-level models often offer potential advantages such as more precise estimates and easy spatial aggregation. Nevertheless, relative to area-level models, literature on unit-level models is less prevalent. In modeling small areas at the unit level, challenges often arise as a consequence of the informative sampling mechanism used to collect the survey data. This article provides a comprehensive methodological review for unit-level models under informative sampling, with an emphasis on Bayesian approaches.