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Estimating the Count Error in the Australian Census

Author

Listed:
  • Chipperfield James

    (Australian Bureau of Statistics, Methodology Division, P O Box 10 Belconnen Australian Capital Territory, 2616, Australia)

  • Brown James

    (University of Technology, Sydney, School of Mathematical Sciences, Sydney, New South Wales, Australia)

  • Bell Philip

    (Australian Bureau of Statistics, Methodology Division, Adelaide, South Australia, Australia)

Abstract

In many countries, counts of people are a key factor in the allocation of government resources. However, it is well known that errors arise in Census counting of people (e.g., undercoverage due to missing people). Therefore, it is common for national statistical agencies to conduct one or more “audit” surveys that are designed to estimate and remove systematic errors in Census counting. For example, the Australian Bureau of Statistics (ABS) conducts a single audit sample, called the Post Enumeration Survey (PES), shortly after each Australian Population Census. This article describes the estimator used by the ABS to estimate the count of people in Australia. Key features of this estimator are that it is unbiased when there is systematic measurement error in Census counting and when nonresponse to the PES is nonignorable.

Suggested Citation

  • Chipperfield James & Brown James & Bell Philip, 2017. "Estimating the Count Error in the Australian Census," Journal of Official Statistics, Sciendo, vol. 33(1), pages 43-59, March.
    • Handle: RePEc:vrs:offsta:v:33:y:2017:i:1:p:43-59:n:3
    DOI: 10.1515/jos-2017-0003
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    References listed on IDEAS

    as
    1. J. J. Brown & I. D. Diamond & R. L. Chambers & L. J. Buckner & A. D. Teague, 1999. "A methodological strategy for a one‐number census in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(2), pages 247-267.
    2. Ted Chang & Phillip S. Kott, 2008. "Using calibration weighting to adjust for nonresponse under a plausible model," Biometrika, Biometrika Trust, vol. 95(3), pages 555-571.
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