2021
DOI: 10.1080/23322705.2021.1897759
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Empirical Analysis of the US State Department’s Annual Trafficking in Persons Report – Insights for Policy-Makers

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Cited by 2 publications
(2 citation statements)
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“…When we transform from the indicator matrix back, we reverse this normalization so that the vulnerability index scales over a realistic range of values. In nation‐by‐nation comparisons, the GSI human trafficking prevalence estimates are lognormal (van der Vink et al, 2021). Therefore, exponentiating the vulnerability index enables a proper scaling for inferring zila‐by‐zila prevalence estimates.…”
Section: Resultsmentioning
confidence: 99%
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“…When we transform from the indicator matrix back, we reverse this normalization so that the vulnerability index scales over a realistic range of values. In nation‐by‐nation comparisons, the GSI human trafficking prevalence estimates are lognormal (van der Vink et al, 2021). Therefore, exponentiating the vulnerability index enables a proper scaling for inferring zila‐by‐zila prevalence estimates.…”
Section: Resultsmentioning
confidence: 99%
“…Researchers have noted the relationship between human trafficking tier levels and forms of governance (e.g., Cho, 2015; McGregor & McEwing, 2013). Statistical analysis demonstrates that a nation's democracy index explains 58.2% of the variance in human trafficking tier ranking, far greater than poverty (at 10.9%) or unemployment (statistically insignificant) (van der Vink et al, 2021). The statistical relationship between governance metrics and tier assignments provides support for those who have called for measures to counter human trafficking to include the promotion of democracy and individual rights (e.g., Landman & Silverman, 2019; Vidwans & Jamal, 2019).…”
Section: Discussionmentioning
confidence: 99%