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Estimating population sizes with the Rasch model

Author

Listed:
  • Chang Xuan Mao

    (Shanghai University of Finance and Economics)

  • Cuiying Yang

    (Shanghai University of Finance and Economics)

  • Yitong Yang

    (Shanghai University of Finance and Economics)

  • Wei Zhuang

    (Shanghai University of Finance and Economics)

Abstract

The Rasch model has been used to estimate the unknown size of a population from multi-list data. It can take both the list effectiveness and individual heterogeneity into account. Estimating the population size is shown to be equivalent to estimating the odds that an individual is unseen. The odds parameter is nonidentifiable. We propose a sequence of estimable lower bounds, including the greatest one, for the odds parameter. We show that a lower bound can be calculated by linear programming. Estimating a lower bound of the odds leads to an estimator for a lower bound of the population size. A simulation experiment is performed and three real examples are studied.

Suggested Citation

  • Chang Xuan Mao & Cuiying Yang & Yitong Yang & Wei Zhuang, 2017. "Estimating population sizes with the Rasch model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(3), pages 705-716, June.
    • Handle: RePEc:spr:aistmt:v:69:y:2017:i:3:d:10.1007_s10463-016-0561-1
    DOI: 10.1007/s10463-016-0561-1
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    References listed on IDEAS

    as
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    8. Chang Xuan Mao & Na You, 2009. "On Comparison of Mixture Models for Closed Population Capture–Recapture Studies," Biometrics, The International Biometric Society, vol. 65(2), pages 547-553, June.
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