This thesis employs the most recent and best available data on human trafficking, the United Nations Office on Drugs and Crime’s Trafficking in Persons Global Report 2006, as well as nine independent variables to determine what their effects are on countries’ volumes of human trafficking outflows. By completing a cross-sectional analysis via an OLS regression, I found statistically significant support for three factors that I hypothesize lead to greater outflows of human trafficking. My findings suggest that countries that are less corrupt, have more seats in parliament held by women, and score higher on Cho, Dreher, and Neumayer’s Anti-Trafficking Policy Index are less likely to experience high outflows of human trafficking. Additionally, while they narrowly avoid statistical significance, this study also suggests that states that have a legal stance on prostitution and have fewer women employed in the non-agricultural sector experience less human trafficking outflows.
| Identifer | oai:union.ndltd.org:uno.edu/oai:scholarworks.uno.edu:td-2739 |
| Date | 06 August 2013 |
| Creators | White, Robyn L |
| Publisher | ScholarWorks@UNO |
| Source Sets | University of New Orleans |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | University of New Orleans Theses and Dissertations |
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