Year of Graduation
Job Search in Russia: a Split Population Model
Applied Mathematics and Information Science
The study of unemployment has great practical interest, because it has a negative impact on many socio-economic aspects of the life of the population. In this paper, a split population model is used to study the probability of finding work in Russia, taking into account the unobservable heterogeneity of investigated objects. The individuals studied were divided into two classes: movers and stayers. The class of movers consisted of individuals who are motivated to seek work. The class stayers consisted of individuals who are not ready to begin work. The model was applied to data of the Russian Longitudinal Monitoring Survey, which allows you to track changes in individuals states in time. The study reviews the research using the split population model, the construction of a mathematical model and a description of the sample. As a result of the application of the model on real data, estimates of models with different number of explanatory variables were obtained, a comparison of the obtained models with classical models of binary choice was made.