Algorithms and mathematical models that help predict, on the basis of macroeconomic analysis, the needs of regional economies for professionals with higher, secondary, and basic vocational education and form the enrolment plans of educational establishments on the basis of these needs are considered. The model is based on the matrices of profession-qualification matches; it uses job rotation coefficients and average annual employment data by industry and by education level. The methodology of predicting the needs for vocational education graduates is standardized for all the constituent entities of the Russian Federation.

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