A Two‐level GREG Estimator for Consistent Estimation in Household Surveys
提出一种两层广义回归估计量，能在家庭调查中同时保证个人和家庭层面估计的一致性，并允许家庭成员使用不同权重，蒙特卡洛模拟显示其优于传统整合加权法。
Summary 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.