Does the Gender Wage Gap Influence Intimate Partner Violence in Brazil? Evidence from Administrative Health Data

Perova, Elizaveta; Reynolds, Sarah; Schmutte, Ian M.

doi:10.1596/1813-9450-9656

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Finally, our work contributes to the rapidly growing literature on the determinants of domestic violence (e.g., see Dugan et al, 2003;Card and Dahl, 2011;Aizer, 2010;Perova et al, 2021). We estimate strong increases in violence against women around childbirth.…”

Section: Introductionmentioning

confidence: 59%

Small Children, Big Problems: Childbirth and Crime

G.C. Britto,

Hsu Rocha,

Pinotti

et al. 2024

SSRN Journal

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Section: Introductionmentioning

confidence: 59%

Small Children, Big Problems: Childbirth and Crime

G.C. Britto,

Hsu Rocha,

Pinotti

et al. 2024

SSRN Journal

View full text Add to dashboard Cite

Do health sector measures of violence against women at different levels of severity correlate? Evidence from Brazil

Reynolds

2022

BMC Women's Health

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Objective To evaluate if characteristics of reports of violence against women at different levels of severity are similar and to test if their prevalence is correlated at the municipal level. Methods I use data from women ages 15–49 who were killed by homicide in Brazil’s national death registry (N = 14,373), were hospitalized for aggression (N = 14,701), or were included in the medical mandatory reports of incidents of violence against women (N = 42,134) between 2011 and 2016 in select municipalities. I provide national level descriptive statistics from 2016 contrasting distributions of victims (age, education, and race) and distributions of the characteristics of the incidents (location and time of day). Then, for 63 municipalities with a high number of violent incidents, I calculate the correlation coefficients between measures of violence against women using quarterly data from 2011 to 2016. I use multiple regression of municipal characteristics at baseline to examine which factors (poverty, spending, health, and civic engagement) predict the correlation. Results Victim characteristics and incident characteristics are similar across the measures of violence at the national level. Despite these aggregate similarities, correlations at the municipal level are quite varied, ranging from − 0.69 to 0.83. I find no municipal characteristics that consistently predict these correlation coefficients. Conclusions Despite some similarities at an aggregate level, these measures of violence against women do not have consistent patterns of correlation at the municipality level. Measures of severe levels of violence against women are not good proxies for incidence of violence at less severe physical levels. Lack of correlations could be due to differences in reporting, but may also be due to differences in underlying processes that share similar victims and event characteristics.

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Does the Gender Wage Gap Influence Intimate Partner Violence in Brazil? Evidence from Administrative Health Data

Cited by 2 publications

References 36 publications

Small Children, Big Problems: Childbirth and Crime

Small Children, Big Problems: Childbirth and Crime

Do health sector measures of violence against women at different levels of severity correlate? Evidence from Brazil

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