Abstract

This study seeks to close the gap between the theoretical rationale for the role of income inequality in human trafficking and lack of empirical evidence supporting this relationship. It is argued that differences in income, especially the income of the poorest in the population, is a significant push factor encouraging individuals to undertake risky migration. Nonetheless, the Gini coefficient, which is typically used in human trafficking research, does not accurately capture the theoretical rationale for why difference in population income, especially the income of the poorest in the population, should matter. A different metric for measuring income inequality – one that is tied to the theoretical underpinnings -- is introduced. Empirical evidence supporting the role that income plays on the poorest in the population on human trafficking outflows is offered. Specifically, as the poorest in the population become marginally better off, there is an increase in human trafficking outflows at the country level.

This work is licensed under a Creative Commons Attribution 4.0 License.