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As bad as it gets: Well being deprivation of sexually exploited trafficked women

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Listed:
  • Di Tommaso, M. L.

    (Department of Economics and Child)

  • Shima, I.

    (Dept. of Economics, University of Oslo)

  • Strøm, S.

    (Dept. of Economics, University of Oslo)

  • Bettio, F.

    (Department of Economics)

Abstract

The International Organization for Migration has collected data on trafficked individuals. The aim of this paper is to use the sub-sample of sexually exploited women in order to explore the relationship between their well being deprivation, their personal characteristics, and their working locations. We use the theoretical framework of the capability approach to conceptualize well being deprivation and we estimate a MIMIC (Multiple Indicators Multiple Causes) model. The utilized indicators measure abuse, freedom of movement, and access to medical care. This model also allows us to estimate the effects of some covariates on this measure of well being.

Suggested Citation

  • Di Tommaso, M. L. & Shima, I. & Strøm, S. & Bettio, F., 2007. "As bad as it gets: Well being deprivation of sexually exploited trafficked women," Memorandum 09/2007, Oslo University, Department of Economics.
    • Handle: RePEc:hhs:osloec:2007_009
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    References listed on IDEAS

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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Dalla parte delle prostitute
      by Marina Della Giusta e Maria Laura Di Tommaso in La Voce on 2015-09-29 09:51:55

    Citations

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    Cited by:

    1. Rudolph, Alexandra & Schneider, Friedrich, 2013. "International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach," IZA Discussion Papers 7867, Institute of Labor Economics (IZA).
    2. Francesca Bettio & Marina Della Giusta & Maria Laura Di Tommaso & Sarah Jewell, 2016. "Stigmatising Prostitution: Some Evidence from the UK," Economics Discussion Papers em-dp2016-13, Department of Economics, University of Reading.
    3. Niklas Potrafke, 2016. "Policies against human trafficking: the role of religion and political institutions," Economics of Governance, Springer, vol. 17(4), pages 353-386, November.
    4. Niklas Potrafke & Heinrich Ursprung, 2011. "Globalization and Gender Equality in Developing Countries," Working Paper Series of the Department of Economics, University of Konstanz 2011-33, Department of Economics, University of Konstanz.
    5. Cho, Seo-Young & Dreher, Axel & Neumayer, Eric, 2010. "The spread of anti-trafficking policies: Evidence from a new index," University of Göttingen Working Papers in Economics 119, University of Goettingen, Department of Economics.
    6. Francesca Bettio & Tushar Nandi, 2010. "Evidence on women trafficked for sexual exploitation: A rights based analysis," European Journal of Law and Economics, Springer, vol. 29(1), pages 15-42, February.
    7. Pearson Nkhoma & Helen Charnley, 2018. "Child Protection and Social Inequality: Understanding Child Prostitution in Malawi," Social Sciences, MDPI, vol. 7(10), pages 1-20, October.
    8. Cho, Seo-Young & Dreher, Axel & Neumayer, Eric, 2013. "Does Legalized Prostitution Increase Human Trafficking?," World Development, Elsevier, vol. 41(C), pages 67-82.
    9. Della Giusta, Marina & Di Tommaso, Maria Laura & Jewell, Sarah & Bettio, Francesca, 2019. "Quashing Demand Criminalizing Clients? Evidence from the UK," IZA Discussion Papers 12405, Institute of Labor Economics (IZA).
    10. Potrafke, Niklas & Ursprung, Heinrich W., 2012. "Globalization and gender equality in the course of development," European Journal of Political Economy, Elsevier, vol. 28(4), pages 399-413.
    11. Cho, Seo-Young & Vadlamannati, Krishna Chaitanya, 2012. "Compliance with the Anti-trafficking Protocol," European Journal of Political Economy, Elsevier, vol. 28(2), pages 249-265.
    12. Niklas Potrafke, 2012. "Islam and democracy," Public Choice, Springer, vol. 151(1), pages 185-192, April.
    13. Seo-Young Cho & Axel Dreher & Eric Neumayer, 2014. "Determinants of Anti-Trafficking Policies: Evidence from a New Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 429-454, April.
    14. Isilda Mara, 2009. "The New Face of Slavery in the Balkans," wiiw Balkan Observatory Working Papers 79, The Vienna Institute for International Economic Studies, wiiw.
    15. Seo-Young Cho, 2012. "Modeling for Determinants of Human Trafficking," Ibero America Institute for Econ. Research (IAI) Discussion Papers 216, Ibero-America Institute for Economic Research.
    16. Alexandra Rudolph & Friedrich Schneider, 2017. "International Human Trafficking: Measuring Clandestinity by the Structural Equation Approach," Social Inclusion, Cogitatio Press, vol. 5(2), pages 39-58.
    17. Andreassen, Leif & Dagsvik, John & Di Tommaso, Maria Laura, 2013. "Measuring capabilities with random scale models. Women’s freedom of movement," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201334, University of Turin.
    18. Ugo Pagano, 2013. "Love, war and cultures: an institutional approach to human evolution," Journal of Bioeconomics, Springer, vol. 15(1), pages 41-66, April.
    19. Della Giusta, Marina & Di Tommaso, Maria Laura & Bettio, Francesca & Jewell, Sarah, 2018. "Criminalising clients: some evidence from the UK," MPRA Paper 91480, University Library of Munich, Germany.
    20. repec:got:cegedp:119 is not listed on IDEAS
    21. Brennan, Geoffrey & Brooks, Michael, 2011. "On the ‘cashing out’ hypothesis and ‘soft’ and ‘hard’ policies," European Journal of Political Economy, Elsevier, vol. 27(4), pages 601-610.
    22. Hernandez, Diego & Rudolph, Alexandra, 2011. "Modern Day Slavery: What Drives Human Trafficking in Europe?," Proceedings of the German Development Economics Conference, Berlin 2011 83, Verein für Socialpolitik, Research Committee Development Economics.

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    More about this item

    Keywords

    Structural equation models; well being; capability approach; trafficking; Eastern and Western European countries;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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