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Intimate partner violence (IPV) is the most common form of violence experienced by women, and imposes adverse health consequences for victims and their children. The annual economic burden of IPV amounts to over $4.1 trillion, a substantial share of which is borne by the public sector. Despite...
Persistent link: https://www.econbiz.de/10014337842
This chapter examines the impact of COVID-19 shutdowns on domestic violence (DV) in the United States. Despite widespread concerns that pandemic shutdowns could increase DV, initial studies found mixed evidence that varied across data sources and locations. We review the evolving literature on...
Persistent link: https://www.econbiz.de/10014512113
We empirically investigate the impact of COVID-19 shutdowns on domestic violence using incident-level data on both domestic-related calls for service and crime reports of domestic violence assaults from the 18 major US police departments for which both types of records are available. Although we...
Persistent link: https://www.econbiz.de/10012660106
Using cross-sectional data files for the United States we show that difficulties experienced in childhood - so-called Adverse Child Experiences (ACE)s - are strongly and significantly associated with mental health in adulthood. Our evidence is taken from eight Behavioral Risk Factor Surveillance...
Persistent link: https://www.econbiz.de/10014486211
Using Difference-in-Differences models and event-study analysis, we estimate the impact of an exogenous increase in income on the incidence and intensity of intimate partner violence (IPV). Using National Crime Victimization Survey data from 1992 to 2000, we exploit time and family-size...
Persistent link: https://www.econbiz.de/10013172903
We empirically investigate the impact of COVID-19 shutdowns on domestic violence using incident-level data on both domestic-related calls for service and crime reports of domestic violence assaults from the 18 major US police departments for which both types of records are available. Although we...
Persistent link: https://www.econbiz.de/10013322587
This paper asks whether social movements taking place on Twitter affect gender-based violence (GBV). Using Twitter data and machine learning methods, we construct a novel data set on the prevalence of Twitter conversations about GBV. We then link this data to weekly crime reports at the federal...
Persistent link: https://www.econbiz.de/10013417246
Using Difference-in-Differences models, we estimate the impact of an exogenous increase in income on the incidence and intensity of intimate partner violence (IPV). Using National Crime Victimization Survey data from 1992 to 2000, we exploit time and family-size variation in the Earned Income...
Persistent link: https://www.econbiz.de/10013191025
Persistent link: https://www.econbiz.de/10014320566
Persistent link: https://www.econbiz.de/10013252699