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Triple-System Modeling of Census, Post-enumeration Survey, and Administrative-List Data

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  • Zaslavsky, Alan M
  • Wolfgang, Glenn S

Abstract

Dual-system measurement of census coverage using a post-enumeration survey has been criticized for correlation bias, resulting when responses to the census and survey are not independent. A third system provides additional information to assess that independence. This study focuses on urban Black male adults, using data from the 1988 Dress Rehearsal Census and its Post-Enumeration Survey and from other government sources. Results using a variety of models confirm that their population is underestimated by dual-system methods. Problems involving classification and matching errors are also discussed. The results suggest that triple-system modeling has great potential for more precise estimation of the hard-to-count population and its census coverage.

Suggested Citation

  • Zaslavsky, Alan M & Wolfgang, Glenn S, 1993. "Triple-System Modeling of Census, Post-enumeration Survey, and Administrative-List Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 279-288, July.
    • Handle: RePEc:bes:jnlbes:v:11:y:1993:i:3:p:279-88
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    Cited by:

    1. Baffour Bernard & Brown James J. & Smith Peter W.F., 2021. "Latent Class Analysis for Estimating an Unknown Population Size – with Application to Censuses," Journal of Official Statistics, Sciendo, vol. 37(3), pages 673-697, September.
    2. Griffin Richard A., 2014. "Potential Uses of Administrative Records for Triple System Modeling for Estimation of Census Coverage Error in 2020," Journal of Official Statistics, Sciendo, vol. 30(2), pages 1-13, June.
    3. Kenneth W. Wachter & David A. Freedman, 2000. "The Fifth Cell," Evaluation Review, , vol. 24(2), pages 191-211, April.
    4. Stephen Fienberg & Daniel Manrique-Vallier, 2009. "Integrated methodology for multiple systems estimation and record linkage using a missing data formulation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(1), pages 49-60, March.

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