Release:
2025. Vol. 11. № 4 (44)About the authors:
Marina A. Giltman, Cand. Sci. (Econ.), Associate Professor, Head of Laboratory for Labour Market Studies, Professor of the Department of Economics and Finance, University of Tyumen, Tyumen, Russia; m.a.giltman@utmn.ru, https://orcid.org/0000-0002-8612-5327, WoS ResearcherID: K-4955-2017, Scopus Author ID: 57190339367, Elibrary AuthorID: 523471Abstract:
Institutional, socio-political, demographic, and economic changes taking place in Russia determine the dynamics of the labor market indicators. The purpose of our research is to analyze changes in the number and structure of registered unemployment in the Tyumen Region in 2019–2023. The analysis is based on unique administrative microdata on registered unemployed people in the Tyumen Region in the specified period. The microdata format reveals information about the individual characteristics of each unemployed person. Processing the microdata using RStudio (R 4.4.0) allowed us to aggregate and compare the dynamics of different groups of unemployed people based on one or more characteristics, as well as their intersections over the entire period under consideration. It has been confirmed that there was a significant increase in the number of registered unemployed in 2020. The research results are illustrated and explained using tables, graphs, and charts. One of the main conclusions of the study is that the technical capabilities and formal grounds for receiving unemployment benefits encourage citizens to register as unemployed at employment centers.Keywords:
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