Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
| dc.contributor.author | Vicente Fuenzalida, Gonzalo | |
| dc.contributor.author | Goicoa Mangado, Tomás | |
| dc.contributor.author | Fernández Rasines, Paloma | |
| dc.contributor.author | Ugarte Martínez, María Dolores | |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Sociología y Trabajo Social | es_ES |
| dc.contributor.department | Soziologia eta Gizarte Lana | eu |
| dc.date.accessioned | 2020-05-12T11:15:21Z | |
| dc.date.available | 2020-05-12T11:15:21Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Crimes against women in India have been continuously increasing lately as reported by the National Crime Records Bureau. Gender-based violence has become a serious issue to such an extent that it has been catalogued as a high impact health problem by the World Health Organization. However, there is a lack of spatiotemporal analyses to reveal a complete picture of the geographical and temporal patterns of crimes against women. We focus on analysing how the geographical pattern of 'dowry deaths' changes over time in the districts of Uttar Pradesh during the period 2001–2014. The study of the geographical distribution of dowry death incidence and its evolution over time aims to identify specific regions that exhibit high risks and to hypothesize on potential risk factors. We also look into different spatial priors and their effects on final risk estimates. Various priors for the hyperparameters are also reviewed. The risk estimates seem to be robust in terms of the spatial prior and hyperprior choices and final results highlight several districts with extreme risks of dowry death incidence. Statistically significant associations are also found between dowry deaths, sex ratio and some forms of overall crime. | en |
| dc.description.sponsorship | This work has been supported by project MTM2017‐82553‐R (Agencia Estatal de Investigación–Fondos de Desarrollo Regional, European Union). It has also been partially funded by the Caixa Foundation (grant 1000010434), Caja Navarra Foundation and National University of Distance Learning, Pamplona, under agreement LCF/PR/PR15/51100007. | en |
| dc.format.extent | 25 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1111/rssa.12545 | |
| dc.identifier.issn | 0964-1998 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/36855 | |
| dc.language.iso | eng | en |
| dc.publisher | Wiley | en |
| dc.relation.ispartof | Journal of The Royal Statistical Society. Series A: Statistics in Society, 2020, 183 (2), 655-679 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-82553-R/ES/ | |
| dc.relation.publisherversion | https://doi.org/10.1111/rssa.12545 | |
| dc.rights | © 2019 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Gender-based violence | en |
| dc.subject | Integrated nested Laplace approximations | en |
| dc.subject | Sex ratio | en |
| dc.subject | Small areas | en |
| dc.subject | Spatial epidemiology | en |
| dc.subject | Spatiotemporal analysis | en |
| dc.title | Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | |
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