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

Kwo Lik CHAN; Bernard W. Silverman

doi:10.1007/978-3-031-64447-4_37

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

Kwo Lik CHAN
, Bernard W. Silverman

Dipartimento di Studi per l'Economia e l'Impresa

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

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.

Lingua originale	Inglese
Pagine	218-222
Numero di pagine	5
DOI	https://doi.org/10.1007/978-3-031-64447-4_37
Stato di pubblicazione	Pubblicato - 2025
Evento	The 52nd Scientific Meeting of the Italian Statistical Society - Bari Durata: 1 gen 2025 → …

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???event.eventtypes.event.conference???	The 52nd Scientific Meeting of the Italian Statistical Society
Città	Bari
Periodo	1/01/25 → …

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SDG 16 Pace, giustizia e istituzioni solide

Keywords

Bootstrap
Modern slavery
Multiple Systems Estimation

Accesso al documento

10.1007/978-3-031-64447-4_37

https://hdl.handle.net/11579/182262

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AB - 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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KW - Modern slavery

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

Abstract

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OSS delle Nazioni Unite

Keywords

Accesso al documento

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