Date of Award

Summer 8-6-2013

Degree Type

Thesis

Degree Name

M.A.

Degree Program

Political Science

Department

Political Science

Major Professor

Michael Huelshoff

Second Advisor

Christine Day

Third Advisor

Richard Frank

Abstract

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.

Rights

The University of New Orleans and its agents retain the non-exclusive license to archive and make accessible this dissertation or thesis in whole or part in all forms of media, now or hereafter known. The author retains all other ownership rights to the copyright of the thesis or dissertation.

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