Abstract
This study examines the relationship between arrest prioritization policies and arrests of domestic violence perpetrators and the number of female victims killed using a time series analysis, as well as the relationship between judicial action against domestic violence perpetrators and the number of female victims killed by male partners. Data on the number of female victims killed by their male partners came from the Korea Women's Helpline, and data on the number of female homicide victims came from the National Police Agency, including arrests of domestic violence perpetrators. The intervention analysis in time series with ARIMA model and Bayesian Structural Time-Series model(BSTS) showed that the number of arrests of domestic violence perpetrators increased significantly after implementing the arrest prioritization policy in 2013, but the number of female homicide victims decreased without a significant effect. The number of female victims killed by their male partners was inversely related to domestic violence-related measures, with the number of female victims decreasing as the number of arrests increased. An essential aspect of this study is the use of ARIMA intervention time series and BSTS in assessing the effectiveness of national crime prevention measures, as well as testing the impact of arrest prioritization on domestic violence offenses.
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