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Measuring Anti-trafficking Policy - Integrating Text and Statistical Analysis

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  • Seo-Young Cho

    ()
    (University of Marburg)

Abstract

This paper reviews the existing indices on anti-trafficking policy and proposes the integration of statistical indicators into the indices coded from qualitative texts in order to improve the objectivity of evaluation. Examining the validity of the existing indices, the 3P Index and the GRETA-Scorecard, the results suggest that these measurements are not free from subjectivity regarding the selection of policy requirements and evaluation standards. To enhance objectivity, the utilization of the European Statistics is proposed and the validity of these statistics is investigated through multi-covariate analysis. The results show that the EU statistics are relevant indicators reflecting the quality of anti-trafficking policy, suggesting that, by integrating text and statistical information, an index on anti-trafficking policy can enhance its comprehensiveness and objectivity.

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File URL: http://www.uni-marburg.de/fb02/makro/forschung/magkspapers/11-2014_cho.pdf
File Function: First 201411
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Bibliographic Info

Paper provided by Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) in its series MAGKS Papers on Economics with number 201411.

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Length: 42 pages
Date of creation: 2014
Date of revision:
Publication status: Forthcoming in
Handle: RePEc:mar:magkse:201411

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Related research

Keywords: human trafficking; anti-trafficking policy; index; text analysis; statistics;

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