The fourth dependent variable is total human

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only those prosecuted by state law enforcement agencies. The fourth dependent variable is total human trafficking prosecutions . This variable is the total defendants charged specifically with human trafficking by either federal or state prosecutors. Finally, we omit the federal human trafficking cases to generate the final dependent variable, which is state human trafficking prosecutions . These are those defendants charged specifically under the state human trafficking statute and prosecuted at the state level. Data Analysis In order to conduct our analyses, we combined the legislation and suspect data into a single dataset wherein each observation was one state in one year. The dependent variables are continuous and measure the numbers of arrests and prosecutions in every state from 2003 to 2012. The independent variables are the legislative provisions in the categories of state investment, civil remedies, and criminalization that each state had from 2003 to 2012. They take on a value of 0 if the state did not adopt that policy, a value of 1 in the year the policy was adopted, and they maintain the value of 1 for all subsequent years (under the validated assumption that the state did not drop the policy after it was adopted). We also developed a “comprehensiveness” var iable for the state 4 The protocol for searching open-source materials is available upon request. This document is a research report submitted to the U.S. Department of Justice. This report has not been published by the Department. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice.
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Effective Counter-Trafficking Programs and Practices in the U.S. Page 7 investment category by summing all of the provisions of state investment. This variable ranges from 0 (no state investment) to 6 (total investment). Likewise, we summed the provisions of civil remedies to derive a variable that measures the comprehensiveness of a state’s civil provisions, which ranges from 0 (no civil remedy provisions) to 7 (total civil remedy). Finally, we created a variable that measures the average criminal sentence across all types of human trafficking (sex/labor, adult/minor). We uploaded the state legislation and suspect dataset to Stata 13 to perform our analyses. First, we ran a series of cross-tabulations and descriptive statistics to analyze patterns in state legislation, arrests, and prosecutions for human trafficking cases. We then ran a series of cross-sectional time-series multivariate regression analyses to assess the effectiveness of various legislative provisions in predicting arrests and prosecutions. All of the models measure the impact of various legislative provisions on the dependent variables described above.
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  • Spring '14
  • Federal Bureau of Investigation, U.S. state

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Christopher Reinemann
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