Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/284842 
Year of Publication: 
2021
Citation: 
[Journal:] International Statistical Review [ISSN:] 1751-5823 [Volume:] 89 [Issue:] 3 [Year:] 2021 [Pages:] 635-656
Publisher: 
Wiley, Hoboken, NJ
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.
Subjects: 
Integrated weighting
household surveys
generalised regression estimator
calibration
consistent estimation
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article
Document Version: 
Published Version

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