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Measuring the Nature and Prevalence of Human Trafficking

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The Palgrave International Handbook of Human Trafficking

Abstract

Interest in measuring the extent of human trafficking victimization has grown as the public has become more concerned about the problem. In the wake of legislation criminalizing human trafficking acts, mandating government responses, and allocating funding to anti-trafficking efforts, evidence about the nature and scale of the problem is needed to guide such efforts. Despite attempts to develop robust methodologies to study human trafficking, few reliable measures exist. This chapter examines the strengths and limitations of methodologies that have been employed to measure the scope and nature of human trafficking victimization globally and locally.

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Notes

  1. 1.

    The principle of capture-recapture is not, however, to have two independent observers but to have two independent chances to be included in the population samples.

References

  • Ball P, Asher J, Sulmont D and Manrique D (2003) How many Peruvians have died? Estimating the total number of victims killed or disappeared in the armed conflict between 1980 and 2000. Washington D.C.: Report to the Peruvian Commission for Truth and Justice.

    Google Scholar 

  • Bales, K (2017) Unlocking the statistics of slavery. Chance 30.3: 5–12.

    Google Scholar 

  • Bales K, Hesketh O, and Silverman BW (2015) Modern slavery in the United Kingdom: How many victims? Significance June.

    Google Scholar 

  • Belser P, Michaëlle de Cock, and Farhad Mehran (2005) ILO Minimum Estimate of Forced Labour in the World. Geneva: ILO.

    Google Scholar 

  • Blevins, KR and Holt TJ (2009). Examining the virtual subculture of Johns. Journal of Contemporary Ethnography 38(5): 619–648.

    Google Scholar 

  • Bishop YM, Fienberg SE, and Holland PW (2007) Discrete Multivariate Analysis: Theory and Applications. MIT Press.

    Google Scholar 

  • Berlusconi G, Calderoni F, Parolini N, Verani M, and Piccardi C (2016) Link prediction in criminal networks: A tool for criminal intelligence analysis. PloS one, 11(4): e0154244.

    Google Scholar 

  • Bouche V and Crotty SM (2017) Estimating demand for illicit massage businesses in Houston, Texas. Journal of Human Trafficking, 1–19.

    Google Scholar 

  • Brunovskis A, and Surtees R (2015) Preventing human trafficking: Positive deviance methodology in practice. Fafo, Norway: Allkopi AS. https://nexushumantrafficking.files.wordpress.com/2015/02/preventing-ht-pd-in-practice-brunovskis-surtees-2015.pdf

  • Campana P (2015) The structure of human trafficking: Lifting the bonnet on a Nigerian transnational network. British Journal of Criminology, 56(1): 68–86.

    Google Scholar 

  • Chao A, Tsay PK, Lin SH, Shau WY and Chao DY (2001) The applications of capture-recapture models to epidemiological data. Statistics in medicine 20(20), 3123–3157.

    Google Scholar 

  • Clawson, HJ, Layne, M and Small, K (2006) Estimating human trafficking into the United States: Development of a methodology. Phase one report. Fairfax, VA: ICF International.

    Google Scholar 

  • Cruyff M, van Dijk J, van der Heijden PGM (2017) The challenge of counting victims of human trafficking: Not on the record: A multiple systems estimation of the numbers of human trafficking victims in the Netherlands in 2010–2015 by year, age, gender and by of exploitation. Chance 30.3: 41–49.

    Google Scholar 

  • Curtis R, Terry K, Dank M, Dombrowski K, Khan B, Muslim A, Labriola M, and Rempel M (2008) The commercial sexual exploitation of children in New York City. New York: Center for Court Innovation

    Google Scholar 

  • David, Fiona. 2017. Modern slavery – from statistics to prevention. CHANCE, 30: 54–60.

    Google Scholar 

  • Dubrawski A, Miller K, Barnes M, Boecking B and Kennedy E (2015) Leveraging publicly available data to discern patterns of human-trafficking activity. Journal of Human Trafficking, 1(1), 65–85.

    Google Scholar 

  • Farrell A, McDevitt J, Fahy S (2010) Where are all the victims? Understanding the determinants of official identification of human trafficking incidents. Criminology and Public Policy 9: 201–233

    Google Scholar 

  • Farrell A, Owens C, McDevitt J (2014) New laws but few cases: understanding the challenges to the investigation and prosecution of human trafficking cases. Crime, Law, and Social Change 61: 139–168.

    Google Scholar 

  • Farrell A, Pfeffer R (2014) Policing human trafficking: Cultural blinders and organizational barriers. The Annals of the American Academy of Political and Social Science 653: 46–64

    Google Scholar 

  • Farrell A, Pfeffer R, Bright K (2016) Police perceptions of human trafficking. Journal of Crime and Justice 38: 315–333

    Google Scholar 

  • Farrell A and Reichert J (2017) Using U.S. law enforcement data: Promise and limits in measuring human trafficking. Journal of Human Trafficking 3: 39–60.

    Google Scholar 

  • Federal Bureau of Investigation (2014) Human trafficking in the Uniform Crime Reporting Program. https://ucr.fbi.gov/human-trafficking.

    Google Scholar 

  • Gallagher A (2017) What’s wrong with the Global Slavery Index. Anti-trafficking Review 8: 90–112.

    Google Scholar 

  • Gallagher A, Holmes P (2008) Developing an effective criminal justice system response to human trafficking: Lessons from the front-line. International Criminal Justice Review 18: 318–343

    Google Scholar 

  • Global Slavery Index (2016) Global Slavery Index: Appendices. Walk Free Foundation. https://www.globalslaveryindex.org/index/

    Google Scholar 

  • Government Accountability Office (GAO) (2006). Human Trafficking: Better Data, Strategy, Reporting Needed to Enhance U.S. Antitrafficking Efforts Abroad. Report to the Chairman, Committee on the Judiciary and the Chairman, Committee on International Relations, House of Representatives, Washington, D.C: United States Government Accountability Office.

    Google Scholar 

  • Heckathorn D (1997) Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems 44: 174–199.

    Google Scholar 

  • Heckathorn D (2002) Respondent driven sampling II: Deriving valid population estimates from chain referral samples of hidden populations. Social Problems 49:11–34.

    Google Scholar 

  • Holt TJ, Blevins KR, and Kuhns JB (2008) Examining the displacement practices of johns with on-line data. Journal of Criminal Justice 36(6): 522–528.

    Google Scholar 

  • Holt TJ (2010) Exploring strategies for qualitative criminological and criminal justice inquiry using on-line data. Journal of Criminal Justice Education 21(4): 466–487.

    Google Scholar 

  • Hopper E (2004) Under-identification of human trafficking victims in the United States. Journal of Social Work Research and Evaluation 5:125–136.

    Google Scholar 

  • Ibanez M, and Suthers DD (2014). Detection of domestic human trafficking indicators and movement trends using content available on open internet sources. In System Sciences (HICSS), 2014 47th Hawaii International Conference on (pp. 1556–1565). IEEE.

    Google Scholar 

  • International Labour Organization. (2016) ILO 2012 Global Estimate of Forced Labour and Forced Marriage: Methodology. Geneva: International Labour Organization.

    Google Scholar 

  • International Labour Organization. (2012) ILO 2012 Global Estimate of Forced Labour. Geneva: International Labour Organization.

    Google Scholar 

  • Konrad RA, Trapp AC, Palmbach TM., and Blom JS (2017) Overcoming human trafficking via operations research and analytics: Opportunities for methods, models, and applications. European Journal of Operational Research 259 (2): 733–745.

    Google Scholar 

  • Kutnick B, Belser P and Danailova-Traino G (2007) Methodologies for global and national estimation of human trafficking victims: Current and future approaches. Geneva: International Labour Organization.

    Google Scholar 

  • Latonero, M., Berhane, G., Hernandez, A., Mohebi, T., & Movius, L. (2011). Human trafficking online: The role of social networking sites and online classifieds (Vol. 26; Tech. Rep.). Los Angeles, CA: Center on Communication Leadership and Policy

    Google Scholar 

  • Levi M, and Wall DS (2004) Technologies, security, and privacy in the post-9/11 European information society. Journal of Law and Society 31(2): 194–220.

    Google Scholar 

  • Liben-Nowell D, and Kleinberg J (2007) The link-prediction problem for social networks. Journal of the Association for Information Science and Technology, 58(7), 1019–1031.

    Google Scholar 

  • Lum K, Megan P, Tamy G, and Patrick Ball (2010) Measuring elusive populations with bayesian model averaging for multiple systems estimation: A case study on lethal violations in casanare, 1998-2007, Statistics, Politics and Policy 1(1) 29.

    Google Scholar 

  • Macy R and Graham L (2012) Identifying domestic and international sex trafficking victims during human service provision. Trauma, Violence and Abuse 13: 59–76.

    Google Scholar 

  • Malm A, Bichler G, and Van De Walle S (2010) Comparing the ties that bind criminal networks: Is blood thicker than water? Security Journal 23(1): 52–74.

    Google Scholar 

  • Manrique-Vallier D, Price ME, and Gohdes A (2013) Multiple System Estimation techniques for estimating causalities in armed conflict. In Counting Civilian Causalities.

    Google Scholar 

  • Mendel, J. and Sharapov, K (2016). Human trafficking and online networks: Policy, analysis, and ignorance. Antipode, 48(3): 665–684.

    Google Scholar 

  • Merry S (2016) The seductions of quantification: Measuring gender violence, human rights and sex trafficking. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Munro V (2008) Of rights and rhetoric: Discourses of degradation and exploitation in the context of sex trafficking, Journal of Law and Society, 35: 240–264.

    Google Scholar 

  • National Conference of State Legislatures (n.d.) Human trafficking state laws. http://www.ncsl.org/research/civil-and-criminal-justice/human-trafficking-laws.aspx

  • Newman, GR and Clarke RV (2003). Superhighway robbery: Prevention e-commerce crime. Cullompton, UK; Willian.

    Google Scholar 

  • Newton P, Mulcahy T, Martin S (2008) Finding victims of human trafficking. Bethesda: National Opinion Research Center.

    Google Scholar 

  • Owens C, Dank M, Breaux J, Banuelos I, Farrell A, Pfeffer P, Bright K, Heitsmith R and McDevitt J (2014) Understanding the Organization, Operation, and Victimization Process of Labor Trafficking in the United States. Washington, DC: United States Department of Justice, National Institute of Justice (NCJ-248461).

    Google Scholar 

  • Paolo C, Federico V (2016) Exploitation in human trafficking and smuggling. European Journal on Criminal Policy and Research 22(1):89–105.

    Google Scholar 

  • Portnoff RS, Huang DY, Doerfler P, Afroz S and McCoy D. (2017) Backpage and bitcoin: Uncovering human traffickers. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1595–1604). ACM.

    Google Scholar 

  • Richard AO (1999) International trafficking in women to the US: A contemporary manifestation of slavery and organized crime. Washington, DC: Center for the Study of Intelligence.

    Google Scholar 

  • Smith CM and Papachristos AV (2016) Trust thy crooked neighbor: multiplexity in Chicago organized crime networks. American Sociological Review 81(4): 644–667.

    Google Scholar 

  • Steinfatt T and Baker S (2011) Measuring the extent of sex trafficking in Cambodia, 2008. Bangkok, Thailand: United Nations Interagency Project on Human Trafficking.

    Google Scholar 

  • Sundararajan, A (2016) The sharing economy: the end of employment and the rise of crowd-based capitalism. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Thakor M and Boyd D (2013) Networked trafficking: reflections on technology and the anti-trafficking movement. Dialectical Anthropology 37(2): 277–290.

    Google Scholar 

  • Tyldum G and Brunovskis A (2005) Describing the unobserved: Methodological challenges in empirical studies on human trafficking. International Migration 43 (1–2): 17–34.

    Google Scholar 

  • United Nations Office on Drugs and Crime (2016) Global Report on Trafficking in Persons. United National Office of Drugs and Crime.

    Google Scholar 

  • Verhoeven M and Van Gestel B (2011) Human trafficking and criminal investigation strategies in the Amsterdam Red Light District. Trends in Organized Crime 14: 148–164

    Google Scholar 

  • Van der Heijden PGM, Whittaker J, Cruyff M, Bakker B, Van der Vliet R (2012). People born in the Middle East but residing in the Netherlands: Invariant population size estimates and the role of active and passive covariates. The Annals of Applied Statistics 6(3):831–52.

    Google Scholar 

  • Van der Heijden PGM, De Vries I, Bӧhning D and Cruyff M (2015) Estimating the size of hard-to-reach populations using capture-recapture methodology, with a discussion of the International Labour Organization’s global estimate of forced labour. UN Forum on Crime and Society 8:109–136.

    Google Scholar 

  • Van der Watt M, van der Westhuizen A (2017) (Re)configuring the criminal justice response to human trafficking: a complex-systems perspective, Police Practice and Research 18: 218–229

    Google Scholar 

  • Wall, D. (2007). Cybercrime: The transformation of crime in the information age (Vol. 4). Polity.

    Google Scholar 

  • Weitzer R (2014) New Directions in Research on Human Trafficking. The ANNALS of the American Academy of Political and Social Science, 653(1): 6–24.

    Google Scholar 

  • Williams M, and Cheal B (2002) Can we measure homelessness? A critical evaluation of the method of “capture–recapture.” International Journal of Social Research Methodology 5 (4): 313–331.

    Google Scholar 

  • Wilson DG, Walsh WF Kleuber S (2006) Trafficking in human beings: Training and services among U.S. law enforcement agencies. Police Practices and Research 7: 149–160.

    Google Scholar 

  • Yar M (2005) The Novelty of ‘Cybercrime’ An Assessment in Light of Routine Activity Theory. European Journal of Criminology 2(4): 407–427.

    Google Scholar 

  • Zhang SX (2009) Beyond the ‘Natasha’story–a review and critique of current research on sex trafficking. Global Crime 10 (3): 178–195.

    Google Scholar 

  • Zhang SX (2012) Measuring labor trafficking: A research note. Crime, Law and Social Change 58: 469–482.

    Google Scholar 

  • Zhang SX, Spiller MW, Finch BK, and Qin Y (2014) Estimating labor trafficking among unauthorized migrant workers in San Diego. The Annals of the American Academy of Political and Social Science 653 (1): 65–86.

    Google Scholar 

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Authors and Affiliations

  1. Violence and Justice Research Laboratory, School of Criminology and Criminal Justice, Northeastern University, Boston, MA, USA

    Amy Farrell & Ieke de Vries

Authors
  1. Amy Farrell
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  2. Ieke de Vries
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Correspondence to Amy Farrell .

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Editors and Affiliations

  1. Department of Economics, Justice and Policy Studies, Mount Royal University, Calgary, AB, Canada

    John Winterdyk

  2. Former Professor of Feminist Legal Studies, Cardiff, UK

    Jackie Jones

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Farrell, A., de Vries, I. (2020). Measuring the Nature and Prevalence of Human Trafficking. In: Winterdyk, J., Jones, J. (eds) The Palgrave International Handbook of Human Trafficking. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-63058-8_6

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