BREAD Working Paper No. 545, October 2018

Understanding Human Trafficking Using Victim-Level Data

Martina Bjorkman, Maria Kuecken, Eliana La Ferrara, Elsa Artadi


Quantitative research on human trafficking is scant due to lack of data. This study makes use of a unique survey we collected on former victims of trafficking and vulnerable women and girls in the Philippines. We start by exploring the correlates of trafficking and show that household composition (in particular the presence of older sisters) and plausibly exogenous measures of health and economic shocks predict the likelihood of being trafficked. We then study the effects of trafficking on victims' intertemporal and risk preferences using entropy balancing. We find that trafficking victims are not differentially patient, but they are more risk loving. Our novel data and findings have implications for the design of policies to prevent trafficking and reintegrate victims.

Keywords: human trafficking

JEL classification codes: O12, J12

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