Intimate partner violence and separation: an empirical analysis

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: Ribeiro, Daniel Lopes
Orientador(a): Carvalho Júnior, José Raimundo de Araújo
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
IPV
Link de acesso: http://www.repositorio.ufc.br/handle/riufc/58615
Resumo: This 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.
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spelling Ribeiro, Daniel LopesCarvalho Júnior, José Raimundo de Araújo2021-05-25T12:09:38Z2021-05-25T12:09:38Z2019RIBEIRO, 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.http://www.repositorio.ufc.br/handle/riufc/58615IPVSeparationBivariate Probit ModelDomestic ViolenceIntimate partner violence and separation: an empirical analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisThis 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.porreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccessLICENSElicense.txtlicense.txttext/plain; charset=utf-82125http://repositorio.ufc.br/bitstream/riufc/58615/2/license.txtce2f77d9db6511060b9277b356f86c2dMD52ORIGINAL2019_dis_dlr.pdf.pdf2019_dis_dlr.pdf.pdfapplication/pdf1598915http://repositorio.ufc.br/bitstream/riufc/58615/1/2019_dis_dlr.pdf.pdfcd9e956bff3c5e9c718f3719c54da55dMD51riufc/586152022-06-13 15:34:36.548oai:repositorio.ufc.br:riufc/58615TElDRU7Dh0EgREUgQVJNQVpFTkFNRU5UTyBFIERJU1RSSUJVScOHw4NPIE7Dg08tRVhDTFVTSVZBIA0KDQpBbyBjb25jb3JkYXIgY29tIGVzdGEgbGljZW7Dp2EsIHZvY8OqKHMpIGF1dG9yKGVzKSBvdSB0aXR1bGFyKGVzKSBkb3MgZGlyZWl0b3MgYXV0b3JhaXMgZGEgb2JyYSBhcXVpIGRlc2NyaXRhIGNvbmNlZGUobSkgw6AgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gQ2VhcsOhLCBnZXN0b3JhIGRvIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVGQyAtIFJJL1VGQywgbyBkaXJlaXRvIG7Do28tZXhjbHVzaXZvIGRlIHJlcHJvZHV6aXIsIGNvbnZlcnRlciAoY29tbyBkZWZpbmlkbyBhYmFpeG8pIGUvb3UgZGlzdHJpYnVpciBvIGRvY3VtZW50byBkZXBvc2l0YWRvIGVtIGZvcm1hdG8gaW1wcmVzc28sIGVsZXRyw7RuaWNvIG91IGVtIHF1YWxxdWVyIG91dHJvIG1laW8uIFZvY8OqIGNvbmNvcmRhKG0pIHF1ZSBhIFVuaXZlcnNpZGFkZSBGZWRlcmFsIGRvIENlYXLDoSwgZ2VzdG9yYSBkbyBSZXBvc2l0w7NyaW8gSW5zdGl0dWNpb25hbCBkYSBVRkMgLSBSSS9VRkMsIHBvZGUsIHNlbSBhbHRlcmFyIG8gY29udGXDumRvLCBjb252ZXJ0ZXIgbyBhcnF1aXZvIGRlcG9zaXRhZG8gYSBxdWFscXVlciBtZWlvIG91IGZvcm1hdG8gY29tIGZpbnMgZGUgcHJlc2VydmHDp8Ojby4gVm9jw6oocykgdGFtYsOpbSBjb25jb3JkYShtKSBxdWUgYSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBDZWFyw6EsIGdlc3RvcmEgZG8gUmVwb3NpdMOzcmlvIEluc3RpdHVjaW9uYWwgZGEgVUZDIC0gUkkvVUZDLCBwb2RlIG1hbnRlciBtYWlzIGRlIHVtYSBjw7NwaWEgZGVzdGUgZGVww7NzaXRvIHBhcmEgZmlucyBkZSBzZWd1cmFuw6dhLCBiYWNrLXVwIGUvb3UgcHJlc2VydmHDp8Ojby4gVm9jw6ogZGVjbGFyYSBxdWUgYSBhcHJlc2VudGHDp8OjbyBkbyBzZXUgdHJhYmFsaG8gw6kgb3JpZ2luYWwgZSBxdWUgdm9jw6oocykgcG9kZShtKSBjb25jZWRlciBvcyBkaXJlaXRvcyBjb250aWRvcyBuZXN0YSBsaWNlbsOnYS4gVm9jw6ogdGFtYsOpbSBkZWNsYXJhKG0pIHF1ZSBvIGVudmlvIMOpIGRlIHNldSBjb25oZWNpbWVudG8gZSBuw6NvIGluZnJpbmdlIG9zIGRpcmVpdG9zIGF1dG9yYWlzIGRlIG91dHJhIHBlc3NvYSBvdSBpbnN0aXR1acOnw6NvLiBDYXNvIG8gZG9jdW1lbnRvIGEgc2VyIGRlcG9zaXRhZG8gY29udGVuaGEgbWF0ZXJpYWwgcGFyYSBvIHF1YWwgdm9jw6oocykgbsOjbyBkZXTDqW0gYSB0aXR1bGFyaWRhZGUgZG9zIGRpcmVpdG9zIGRlIGF1dG9yYWlzLCB2b2PDqihzKSBkZWNsYXJhKG0pIHF1ZSBvYnRldmUgYSBwZXJtaXNzw6NvIGlycmVzdHJpdGEgZG8gdGl0dWxhciBkb3MgZGlyZWl0b3MgYXV0b3JhaXMgZGUgY29uY2VkZXIgw6AgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gQ2VhcsOhLCBnZXN0b3JhIGRvIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVGQyAtIFJJL1VGQywgb3MgZGlyZWl0b3MgcmVxdWVyaWRvcyBwb3IgZXN0YSBsaWNlbsOnYSBlIHF1ZSBvcyBtYXRlcmlhaXMgZGUgcHJvcHJpZWRhZGUgZGUgdGVyY2Vpcm9zLCBlc3TDo28gZGV2aWRhbWVudGUgaWRlbnRpZmljYWRvcyBlIHJlY29uaGVjaWRvcyBubyB0ZXh0byBvdSBjb250ZcO6ZG8gZGEgYXByZXNlbnRhw6fDo28uDQoNCkNBU08gTyBUUkFCQUxITyBERVBPU0lUQURPIFRFTkhBIFNJRE8gRklOQU5DSUFETyBPVSBBUE9JQURPIFBPUiBVTSDDk1JHw4NPLCBRVUUgTsODTyBBIElOU1RJVFVJw4fDg08gREVTVEUgUkVQT1NJVMOTUklPOiBWT0PDiiBERUNMQVJBIFRFUiBDVU1QUklETyBUT0RPUyBPUyBESVJFSVRPUyBERSBSRVZJU8ODTyBFIFFVQUlTUVVFUiBPVVRSQVMgT0JSSUdBw4fDlUVTIFJFUVVFUklEQVMgUEVMTyBDT05UUkFUTyBPVSBBQ09SRE8uIA0KDQpPIHJlcG9zaXTDs3JpbyBpZGVudGlmaWNhcsOhIGNsYXJhbWVudGUgbyBzZXUocykgbm9tZShzKSBjb21vIGF1dG9yKGVzKSBvdSB0aXR1bGFyKGVzKSBkbyBkaXJlaXRvIGRlIGF1dG9yKGVzKSBkbyBkb2N1bWVudG8gc3VibWV0aWRvIGUgZGVjbGFyYSBxdWUgbsOjbyBmYXLDoSBxdWFscXVlciBhbHRlcmHDp8OjbyBhbMOpbSBkYXMgcGVybWl0aWRhcyBwb3IgZXN0YSBsaWNlbsOnYS4NCg==Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2022-06-13T18:34:36Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.pt_BR.fl_str_mv Intimate partner violence and separation: an empirical analysis
title Intimate partner violence and separation: an empirical analysis
spellingShingle Intimate partner violence and separation: an empirical analysis
Ribeiro, Daniel Lopes
IPV
Separation
Bivariate Probit Model
Domestic Violence
title_short Intimate partner violence and separation: an empirical analysis
title_full Intimate partner violence and separation: an empirical analysis
title_fullStr Intimate partner violence and separation: an empirical analysis
title_full_unstemmed Intimate partner violence and separation: an empirical analysis
title_sort Intimate partner violence and separation: an empirical analysis
author Ribeiro, Daniel Lopes
author_facet Ribeiro, Daniel Lopes
author_role author
dc.contributor.author.fl_str_mv Ribeiro, Daniel Lopes
dc.contributor.advisor1.fl_str_mv Carvalho Júnior, José Raimundo de Araújo
contributor_str_mv Carvalho Júnior, José Raimundo de Araújo
dc.subject.por.fl_str_mv IPV
Separation
Bivariate Probit Model
Domestic Violence
topic IPV
Separation
Bivariate Probit Model
Domestic Violence
description This 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.
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2021-05-25T12:09:38Z
dc.date.available.fl_str_mv 2021-05-25T12:09:38Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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status_str publishedVersion
dc.identifier.citation.fl_str_mv RIBEIRO, 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.
dc.identifier.uri.fl_str_mv http://www.repositorio.ufc.br/handle/riufc/58615
identifier_str_mv RIBEIRO, 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.
url http://www.repositorio.ufc.br/handle/riufc/58615
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