Intimate partner violence and separation: an empirical analysis
| Ano de defesa: | 2019 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| 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: | |
| 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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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: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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 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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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. |
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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. |
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http://www.repositorio.ufc.br/handle/riufc/58615 |
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por |
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por |
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