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Simulated Probabilistic Population Estimation

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  • Dorn, Sherman

Abstract

One can estimate population sizes from random nonunique identifier variables such as birthdates or first names. Banks and Pandiani (2001) developed an efficient method of estimating population from the number of birthdates, and extended that to estimating overlaps of two populations. Banks and Pandiani took advantage of the (almost) uniform distribution of birthdates using the coupon-collector model in probability. This paper develops an alternative method from simulated data and extends the method to nonuniform distributions, such as names. The appendix provides applicable R code.

Suggested Citation

  • Dorn, Sherman, 2017. "Simulated Probabilistic Population Estimation," SocArXiv dpc7z, Center for Open Science.
    • Handle: RePEc:osf:socarx:dpc7z
    DOI: 10.31219/osf.io/dpc7z
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