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|a Cho, Seo-Young
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|a Modeling for determinants of human trafficking: an empirical analysis
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|a This study aims to identify robust push and pull factors of human trafficking. I test for the robustness of 70 push and 63 pull factors suggested in the literature. In doing so, I employ an extreme bound analysis, running more than two million regressions with all possible combinations of variables for up to 153 countries during the period of 1995-2010. My results show that crime prevalence robustly explains human trafficking both in destination and origin countries. Income level also has a robust impact, suggesting that the cause of human trafficking shares that of economic migration. Law enforcement matters more in origin countries than destination countries. Interestingly, a very low level of gender equality may have constraining effects on human trafficking outflow, possibly because gender discrimination limits female mobility that is necessary for the occurrence of human trafficking.
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|a Kriminalität
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|a Menschenhandel
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|a Einkommen
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|a Wirtschaftliche Lage
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|a Einfluss
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|a Diskriminierung
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|a Gleichstellung
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|a Analyse
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|i In
|a Social Inclusion
|g 3(2015), 1, Seite 2-21
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