Abstract
Domestic abuse is a pervasive global problem. Here we analyze two approaches to reducing violent DA recidivism. One involves charging the perpetrator with a crime; the other provides protective services to the victim on the basis of a formal risk assessment carried out by the police. We use detailed administrative data to estimate the average effect of treatment on the treated using inverse propensity-score weighting (IPW). We then make use of causal forests to study heterogeneity in the estimated treatment effects. We find that pressing charges substantially reduces the likelihood of violent recidivism. The analysis also reveals substantial heterogeneity in the effect of pressing charges. In contrast, the risk-assessment process has no discernible effect.
| Original language | English |
|---|---|
| Place of Publication | London |
| Publisher | Centre for Economic Performance (CEP), London School of Economics and Political Science |
| Number of pages | 71 |
| Publication status | Published - Jan 2023 |
| Series | CEP Discussion Paper |
|---|---|
| Number | 1897 |
| ISSN | 2042-2695 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Domestic abuse
- Charges
- Risk assessment
- Propensity score weighting
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