Zero, Some, or Zero-Sum: Exploring Trade-Offs in Identifying Human Trafficking Among Migration Flows 1.0.0
The author establishes a rudimentary metric called “Permissive Score” to measure the selectiveness of simulated government immigration policies. ABMs are then used to explore the impact of a policy’s Permissive Score on the identification of human trafficking victims. Preliminary findings suggest a relatively high negative correlation (-0.77) between the permissiveness of an immigration policy and the rate at which victims were identified by governments with those policies.