Measuring Anti-Trafficking Policy - Integrating Text and Statistical Analyses

Social Science Quarterly 96(2): 656-683

Posted: 22 Jul 2016

See all articles by Seo-Young Cho

Seo-Young Cho

University of Marburg - School of Business & Economics

Date Written: June 15, 2015

Abstract

Objectives: The objectives of this article are to review existing indices on anti-trafficking policy and to propose a way to improve the policy indices.

Methods: The four existing indices — the 3P Index, the GRETA-based Scorecard, the EuroStat, and the U.S. Tier-Ranking — were compared regarding their contents, quantification methods, and the coverage of the data. In particular, the validity of the first two indices coded from qualitative information was examined through tests for linear correlation, and the content of the EuroStat was evaluated by multicovariate regression analyses.

Results: Empirical results show that the evaluation outcomes of the 3P Index and the Scorecard are considerably different, arguably because of the noncomprehensive selection of policy requirments and subjective judgments in interpreting qualitative texts. On the other hand, EuroStat seems to measure the quality of anti-trafficking policy and therefore these statistics can be used as relevant indicators of policy evaluation.

Conclusion: The empirical investigation of this article suggests that integrating textual and statistical information can be a way to improve the quality of an index evaluating anti-trafficking policy.

Keywords: Human trafficking, anti-trafficking policy, 3P Index

Suggested Citation

Cho, Seo-Young, Measuring Anti-Trafficking Policy - Integrating Text and Statistical Analyses (June 15, 2015). Social Science Quarterly 96(2): 656-683, Available at SSRN: https://ssrn.com/abstract=2813184

Seo-Young Cho (Contact Author)

University of Marburg - School of Business & Economics ( email )

Barfuessertor 2
Marburg, Hessen 35037
Germany

HOME PAGE: http://www.economics-human-trafficking.org/

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