Pre-print | arXiv (2023)

Defining the sample designs for small area estimation

Piero Demetrio Falorsi, Stefano Falorsi, Vincenzo Nardelli, Paolo Righi

Link to Pre-print

Abstract

The paper delineates a proper statistical setting for defining the sampling design for a small area estimation problem. This problem is often treated only via indirect estimation using the values of the variable of interest also from different areas or different times, thus increasing the sample size. However, let us suppose the domain indicator variables are available for each unit in the population. In that case, we can define a sampling design that fixes the small-area samples sizes, thereby significantly increasing the accuracy of the small area estimates. We can apply this sampling strategy to business surveys, where the domain indicator variables are available in the business register and even household surveys, where we can have the domain indicator variables for the geographical domains.

Spatial Small Area Estimation Sampling