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Studies have shown that rape victimization as well as other factors play a role in prostitution, due to many factors as in the lessening of self-worth, past experiences and the income it produces. The hypothesis drawn within this study is that there is an interaction effect between disadvantage and rape rate that significantly predicts prostitution controlling for race index, road networks, interstate exits and the log of population. The data used within this study was provided by Dr. James McCutheon, Aron Poole and Kayla Toohy. The results show that indeed the interaction is significant with an R2 of 0.268 without the interaction and once the interaction is taken into account, the R2 increases to 0.304. The interaction shows for high disadvantage areas the slope for rape is the largest while for low disadvantage areas the slope for rape is the weakest. As disadvantage increases the slope for rape increases. Both theoretical and methodological implications of the models will be discussed.
Nadiya Ghosheh Workman, University of Memphis
Bert Burraston, University of Memphis
James McCutcheon, University of Memphis
Kayla Toohy, University of Memphis