Modeling the Employment of the Population of the Regions of Russia on the Example of the Central Federal District
( Pp. 199-207)

More about authors
Tregub Ilona V. Dr. Sci. (Econ.), Professor of the Department of Mathematics
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Abraimova Margarita A.
Financial University under the Government of the Russian Federation
Moscow, Russian Federation
Abstract:
Pandemic 2020-2021 made significant adjustments to the situation in the labour market. The importance of restoring the level of employment of the population of Russian regions to pre-pandemic values was noted by the Prime Minister of the Russian Federation Mikhail Mishustin, speaking in the State Duma with a report on the work of the cabinet of ministers for 2020. This article examines the economy of the Central Federal District, in particular the size of the labour force, as the main factor in employment. Based on the correlation and regression analysis, the main socio-economic indicators have been identified that have a significant impact on the size of the labour force. These include the coefficient of migration growth; monthly nominal accrued wages of employees of organizations; the number of enterprises and organizations. An econometric model has been developed that makes it possible to predict the number of employment of the population and make managerial decisions on measures to influence it.
How to Cite:
Tregub I.V., Abraimova M.A., (2021), MODELING THE EMPLOYMENT OF THE POPULATION OF THE REGIONS OF RUSSIA ON THE EXAMPLE OF THE CENTRAL FEDERAL DISTRICT. Economic Problems and Legal Practice, 6 => 199-207.
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Keywords:
Russian Federation, Central Federal District, econometric model, labour force, migration rate, wages, number of enterprises and organizations, forecasting.


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