A New Method for Forecasting the Staffing Needs of the Economy, Taking into Account Age and Gender Characteristics of Employment

The article is a continuation of a series of publications by the authors on the topic of forecasting personnel needs taking into account the age and gender structure and the number of employees. The authors propose a new method for calculating forecast indicators of total and replacement personnel needs, based on the use of employment level profiles by one-year age categories. Employment level profiles are formed using indicators of the number of employed people by one-year age categories and gender factor, obtained from the results of processing and analysis of microdata from a sample survey of the labor force. The authors developed an algorithm for implementing a new method for calculating forecast indicators of general and replacement personnel needs; the proposed algorithm was tested using the example of the Republic of Karelia.