Assessment of the Regional Labor Market, Taking into Account the Territorial Effect (Case Study: The Republic of Belarus)

The relevance of the study concerning evaluation problems and a specific comparative analysis of regional labor markets is explained by the growing importance of improving macroeconomic regulation in almost all CIS countries. The purpose of the work was to demonstrate the capabilities of spatial econometrics tools in the analysis of regional labor markets on the example of the Republic of Belarus. The authors consider methodological approaches to analyzing labor market indicators based on modern statistical and econometric tools.

The authors substantiated the necessity of using spatial econometrics methods for a more accurate assessment of the specific characteristics of the regions of the Republic of Belarus. A spatial autoregressive model was built using panel data. Here, integral block indicators were used as factors, covering only 40 primary characteristics of the region. This article briefly discusses the provisions used in spatial data analysis. It also presents the results of building a mixed model of spatial autoregression. For calculations, the authors used data for 2016–2019, which are freely available in the interactive business intelligence system for distribution of official statistical information of the National Statistical Committee of the Republic of Belarus (Belstat, 2021).

As predictors, the regression model included integral indicators of the regional labor market, weighted using a matrix of distances between the centers of regions. Here, were used forty initial indicators. According to the authors, the results of the study can have practical application when planning programs for the development of regional labor markets.

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