Each week, we select a recently published Open Access article to feature. This week’s article comes from the International Statistical Review and proposes a new two-level generalised regression estimator for consistent estimates in household surveys.
The article’s abstract is given below, with the full article available to read here.
, , and (2021) A Two-level GREG Estimator for Consistent Estimation in Household Surveys. International Statistical Review, https://doi.org/10.1111/insr.12460
Household surveys provide information on both person-level and household-level characteristics. To ensure consistent estimates between both levels, statistical offices often use integrated weights that are equal for all persons within a household and the household itself. However, these integrated weights ignore the individual patterns of the persons, and the heterogeneity within a household is no longer reflected. As an alternative to integrated weighting, we propose a two-level generalised regression estimator that is capable of both ensuring consistent person and household estimates and allowing for different weights for persons within a household. A Monte Carlo simulation supports the superiority of our two-level generalised regression estimator compared with integrated weighting.