Affiliation:
1. Lomonosov Moscow State University
2. Institute of Economics of the Russian Academy of Sciences
Abstract
The COVID-19 pandemic has had a negative impact on the socio-economic development of countries, in particular on the labor market. To counteract large-scale challenges, it is necessary to create a labor market monitoring system that allows identifying the occurrence of potential negative events at an early stage. The article suggests the author's approach to calculating the indicator of labor volatility. To calculate the labor volatility indicator, correlation analysis is used, as well as normalization of the selected indicators. By calculating the geometric mean and the subsequent inverse indicator, the achieved value of the labor volatility indicator is estimated. The approbation of the developed methodological approach was carried out for the period from 2019 to 2021. The regions of Russia were divided into two groups from the position of assessing the growth of volatility of the interaction of economic entities in the labor market. The positive dynamics in terms of reducing the level of volatility of labor relations, for example, was demonstrated by the Ivanovo region. Negative dynamics in terms of the growth of the volatility of labor relations was observed in the Astrakhan region. The developed indicator of labor volatility makes it possible to determine the emergence of non-standard practices of interaction between economic entities, to identify areas in which a crisis could potentially occur. The values of the labor volatility indicator can be used to assess the effectiveness of the instruments of state influence. If a decision is made on the practical use of the proposed methodological approach, it is necessary to increase the frequency of evaluation of the indicator of labor volatility. To do this, it is advisable to use operational data, in particular information about cash flows in the labor market.
Publisher
Plekhanov Russian University of Economics (PRUE)