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dc.contributor.advisorCarvalho Júnior, José Raimundo de Araújo-
dc.contributor.authorRibeiro, Daniel Lopes-
dc.date.accessioned2021-05-25T12:09:38Z-
dc.date.available2021-05-25T12:09:38Z-
dc.date.issued2019-
dc.identifier.citationRIBEIRO, Daniel Lopes.Intimate partner violence and separation: an empirical analysis . 2019. 33f.- Dissertação (Mestrado) - FEAAC - Faculdade de Economia, Administração, atuária e Contabilidade - CAEN, Programa de Pós-Graduação em Economia, Universidade Federal do Ceará, Fortaleza, 2019.pt_BR
dc.identifier.urihttp://www.repositorio.ufc.br/handle/riufc/58615-
dc.language.isopt_BRpt_BR
dc.subjectIPVpt_BR
dc.subjectSeparationpt_BR
dc.subjectBivariate Probit Modelpt_BR
dc.subjectDomestic Violencept_BR
dc.titleIntimate partner violence and separation: an empirical analysispt_BR
dc.typeDissertaçãopt_BR
dc.description.abstract-ptbrThis study aims to understand the determinant factors of womans's decision of separation focusing in post-IPV cases. In addition we are interested in measuring the direct effect of the violence on the decision of separation. To do so, we made use of an innovative micro database known as PCSVDF - mulher for 2017, to estimate two bivariate probability models. The first one consists of a recursive bivariate probit model where IPV enter as a covariate of separation and the second one is a standard bivariate probit (seemgly unrelated equations).Ours results show that 22% of the abused women had chosen to separate while only 10% of gthe non-victim women had separated. The econometrics estimates point out that the variables regarding to economic independence appears as significant factors for the separation. Finally, we reiterate thar violence has a large and positive effect and the woman's decision of dissolution.pt_BR
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