Data analysis reveals that common language, transportation costs, and income disparities drive human trafficking flows.
International human trafficking is a growing problem, driven by conflict, forced migration, and increasing numbers of refugees. Using data from the US Department of State's Trafficking in Persons reports, we study human trafficking in the context of three possible explanatory variables: a common language, cost of transportation, and difference in national median income. All three factors are predictive of trafficking flows. These findings provide useful information for mitigation policies.
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Browne et al. (2025) studied this question.
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