Multiple Systems Estimation has been used as an approach to quantify hard-to-reach or hidden populations and to inform public policy. Motivated by the application to human trafficking and to modern slavery, we review a particular methodological advancement in the frequentist regime, that makes it possible to account for model selection when finding confidence intervals for estimates.

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A Bootstrap Approach to Account for Model Selection in Multiple Systems Estimation

  • Lax Chan,
  • Bernard W. Silverman

摘要

Multiple Systems Estimation has been used as an approach to quantify hard-to-reach or hidden populations and to inform public policy. Motivated by the application to human trafficking and to modern slavery, we review a particular methodological advancement in the frequentist regime, that makes it possible to account for model selection when finding confidence intervals for estimates.