As Bad as it Gets: Well Being Deprivation of Sexually Exploited Trafficked women
Maria Di Tommaso (),
Shima Isilda (),
Steinar Strøm () and
Bettio Francesca ()
Additional contact information
Bettio Francesca: University of Turin, http://www.est.unito.it/
Authors registered in the RePEc Author Service: Isilda Mara
Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin
The International Organization for Migration has collected data on traffìcked ìndividuals. 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 indìcators 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.
Pages: 44 pages
New Economics Papers: this item is included in nep-hap, nep-lab and nep-mig
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13) Track citations by RSS feed
Downloads: (external link)
http://www.est.unito.it/do/home.pl/Download?doc=/a ... stromshimabettio.pdf (application/pdf)
Working Paper: As bad as it gets: Well being deprivation of sexually exploited trafficked women (2007)
Working Paper: As bad as it gets: well being deprivation of sexually exploited trafficked women (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:uto:dipeco:200703
Access Statistics for this paper
More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Piero Cavaleri () and Marina Grazioli ().