Modeling of Social Risks in the Labor Sphere

Modern society has developed in such a way that social reality is characterized by the significant dynamics of all processes and their uncertainty. Under conditions, risk accompanies any purposeful activity subject, and, turn, latter aimed at reducing uncertainty its results. The purpose this paper to form basis comprehensive study risks labor sphere develop practical recommendations for minimizing negative consequences. In order determine main factors influencing probability unemployed not work specialty which they have trained, we used data micro-level survey on economic population build linear regression models based structural variables. As result applying method economic-mathematical modeling, particular basics theory, unemployment terms occupational groups employment persons outside trained were developed. made it possible formalize identify patterns supply demand professions, as well change probabilistic characteristics in.