Multiple Systems Estimation (MSE) 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.

A bootstrap approach to account for model selection in Multiple Systems Estimation

Chan, Kwo Lik
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Abstract

Multiple Systems Estimation (MSE) 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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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/182262
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