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Underreporting of Intimate Partner Violence in Brazil
General Economics · Submitted 7 Apr 2025
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Using a bivariate probit regression model with sample selection, we found that older white women, those who do not tolerate domestic violence, and women who have experienced physical violence are more likely to report IPV to the police.
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The abstract, sentence by sentence
According to WHO (2013), in general 30% of all women worldwide who have been in a relationship have experienced physical and/or sexual violence by their intimate partner. However, only a small percentage of intimate partner violence (IPV) victims report it to the police. This phenomenon of under-reporting is known as ``dark figure''. This paper aims to investigate the factors associated with the reporting decision of IPV victims to the police in Brazil using the third wave of the ``Pesquisa de Condi\c{c}\~{o}es Socioecon\^{o}micas e Viol\^{e}ncia Dom\'{e}stica e Familiar contra a Mulher ($PCSVDF^{Mulher}$)''. Using a bivariate probit regression model with sample selection, we found that older white women, those who do not tolerate domestic violence, and women who have experienced physical violence are more likely to report IPV to the police. In contrast, married women, those with partners who abuse alcohol and those who witnessed or knew that their mothers had experienced IPV, are less likely to report it to law enforcement.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | According to WHO (2013), in general 30% of all women worldwide who have been in a relationship have experienced physical and/or sexual violence by their intimate partner. | background 1.00 | 0.02 | 0.01 | asserted 1.00 |
| s1 | However, only a small percentage of intimate partner violence (IPV) victims report it to the police. | background 1.00 | 0.06 | 0.02 | asserted 1.00 |
| s2 | This phenomenon of under-reporting is known as ``dark figure''. | background 1.00 | 0.03 | 0.02 | asserted 1.00 |
| s3 | This paper aims to investigate the factors associated with the reporting decision of IPV victims to the police in Brazil using the third wave of the ``Pesquisa de Condi\c{c}\~{o}es Socioecon\^{o}micas e Viol\^{e}ncia Dom\'{e}stica e Familiar contra a Mulher ($PCSVDF^{Mulher}$)''. | contribution 0.96 | 0.38 | 0.03 | asserted 0.84 |
| s4 | Using a bivariate probit regression model with sample selection, we found that older white women, those who do not tolerate domestic violence, and women who have experienced physical violence are more likely to report IPV to the police. | result 1.00 | 0.98 | 0.69 | asserted 0.96 |
| s5 | In contrast, married women, those with partners who abuse alcohol and those who witnessed or knew that their mothers had experienced IPV, are less likely to report it to law enforcement. | result 1.00 | 0.94 | 0.27 | asserted 0.86 |
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The paper
Original abstract
According to WHO (2013), in general 30% of all women worldwide who have been in a relationship have experienced physical and/or sexual violence by their intimate partner. However, only a small percentage of intimate partner violence (IPV) victims report it to the police. This phenomenon of under-reporting is known as ``dark figure''. This paper aims to investigate the factors associated with the reporting decision of IPV victims to the police in Brazil using the third wave of the ``Pesquisa de Condi\c{c}\~{o}es Socioecon\^{o}micas e Viol\^{e}ncia Dom\'{e}stica e Familiar contra a Mulher ($PCSVDF^{Mulher}$)''. Using a bivariate probit regression model with sample selection, we found that older white women, those who do not tolerate domestic violence, and women who have experienced physical violence are more likely to report IPV to the police. In contrast, married women, those with partners who abuse alcohol and those who witnessed or knew that their mothers had experienced IPV, are less likely to report it to law enforcement.
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