Premium
A Two‐level GREG Estimator for Consistent Estimation in Household Surveys
Author(s) -
Konrad Anne,
Burgard Jan Pablo,
Münnich Ralf
Publication year - 2021
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/insr.12460
Subject(s) - weighting , estimator , estimation , statistics , econometrics , a weighting , regression , monte carlo method , small area estimation , regression analysis , mathematics , economics , medicine , management , radiology
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.