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A Two‐level GREG Estimator for Consistent Estimation in Household Surveys

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  • Anne Konrad
  • Jan Pablo Burgard
  • Ralf Münnich

Abstract

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.

Suggested Citation

  • Anne Konrad & Jan Pablo Burgard & Ralf Münnich, 2021. "A Two‐level GREG Estimator for Consistent Estimation in Household Surveys," International Statistical Review, International Statistical Institute, vol. 89(3), pages 635-656, December.
    • Handle: RePEc:bla:istatr:v:89:y:2021:i:3:p:635-656
    DOI: 10.1111/insr.12460
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    References listed on IDEAS

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