The article considers the importance of the following social institutions in the system of preventing female crime: family and motherhood, health care, culture, law, religion, education, and economic institutions. The research involves various scientific methods; its use allows identifying significant problems, trends and prospects in the control of crime, as well as defining activity areas of state authorities to combat it. The theoretical part briefly describes the opinions of domestic and foreign authors regarding the influence of various social factors on the crime state. In the practical part, the authors have identified statistical indicators reflecting the state of public institutions, considered an analysis of the dynamics of female crime and criminal, constructed and tested linear model of multiple regression characterizing female crime, interpreted its results, and given a medium-term forecast. The analysis of the dynamics shows a positive trend toward a decrease in the level of female crime observed in the study period. The correlation analysis indicates the presence of statistical links between the volumes of registered female crime and factors characterizing the state of social institutions. On its basis, the paper outlines the directions of the state social and economic policy related to preventing female crime. The resulting multiple regression equation characterizes the interrelated impact of social institutions on female crime, and the autoregression equation allows implementing its prediction. Within the framework of the proposed multifactorial model, the following social institutions have shown an interrelated impact on female crime: family and maternity, health care, law, economic. The work has suggested that the most optimal way to predict female crime is to use the method of econometric modeling. The authors have concluded about the importance of all the considered social institutions in the system of preventing female crime
Keywords
social institutions, female crime, crime model, female crime dynamics, female crime determinants, statistical analysis of crime