Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/78004
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dc.contributor.authorPérez Sánchez, José Maríaen_US
dc.contributor.authorDávila Cárdenes, María Nancyen_US
dc.contributor.authorGómez Déniz, Emilioen_US
dc.date.accessioned2021-03-09T12:57:29Z-
dc.date.available2021-03-09T12:57:29Z-
dc.date.issued2020en_US
dc.identifier.issn0886-2605en_US
dc.identifier.urihttp://hdl.handle.net/10553/78004-
dc.description.abstractThe number of fatalities in Spain due to gender-based violence has increased in recent years, with a new rise in 2019, reaching the highest figure since 2015, a year that registered a peak with 60 victims. This article analyzes a database obtained from a survey on gender violence conducted by the Spanish Centre for Sociological Research. The survey, prepared by the Government Delegation for Gender Violence, consisted of interviews with women aged over 15 years living in 858 municipalities distributed over 50 provinces in Spain. The data reveal that most of the women interviewed have not suffered any type of physical, sexual, or psychological abuse. Hence, the application of standard logistic methodologies which suppose symmetric responses, can lead to a poor specification of the model, a misinterpretation of marginal effects and unidentified predictors. It seems more appropriate to consider an asymmetric link function to explain the probability of abuse (physical, sexual, or psychological). The Bayesian methodology allows the incorporation of such an asymmetric function improving the specification of the model. In this article, we compare both methodologies and prove that Bayesian asymmetric performs better results by considering several diagnostic criteria. Furthermore, this methodology detects some significative factors that are not revealed by the classical method, e.g., the partner’s nationality for sexual abuse or the women’s total number of intimate partners for psychological abuse. Bayesian asymmetric estimations reveal no significance concerning to the lowest partner’s level of education for physical abuse but if the intimate partner is currently studying this reduces the probability of sexual abuse. The woman’s level of education is not relevant to the physical, sexual, or psychological abuses suffered. Therefore, the findings may help identify economic and sociological factors not previously considered in this area and highlight policies that may be adopted or revised to help overcome this social problem.en_US
dc.languageengen_US
dc.relationAportaciones A la Toma de Decisiones Bayesianas Óptimas: Aplicaciones Al Coste-Efectividad Con Datos Clínicos y Al Análisis de Riestos Con Datos Acturiales.en_US
dc.relation.ispartofJournal of Interpersonal Violenceen_US
dc.sourceJournal of Interpersonal Violence [0886-2605], v. 37(9-10), p. NP7109-NP7128en_US
dc.subject5302 Econometríaen_US
dc.subject.otherGender-based violence against womenen_US
dc.subject.otherAsymmetric logit regressionen_US
dc.subject.otherBayesian estimationen_US
dc.subject.otherIntimate partneren_US
dc.titleDeterminants of Gender-based Violence Against Women in Spain: An Asymmetric Bayesian Modelen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typearticleen_US
dc.identifier.doi10.1177/0886260520967749en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.utils.revisionNoen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-ECOen_US
dc.description.sjr0,887
dc.description.jcr6,144
dc.description.sjrqQ2
dc.description.jcrqQ1
dc.description.ssciSSCI
dc.description.erihplusERIH PLUS
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.project.principalinvestigatorVázquez Polo, Francisco José-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Análisis Económico Aplicado-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-7491-4345-
crisitem.author.orcid0000-0002-8886-8140-
crisitem.author.orcid0000-0002-5072-7908-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNamePérez Sánchez, José María-
crisitem.author.fullNameDávila Cárdenes, María Nancy-
crisitem.author.fullNameGómez Déniz, Emilio-
Colección:Artículos
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