UDC 331.5

APPLICATION OF OPTIMIZATION MODELS FOR DEMAND AND SUPPLY MANAGEMENT IN THE LABOR MARKET Application of optimization models for demand and supply management in the labor market

Published in JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT · Issue 4 · Pages 25–28 · Rubric: SCIENTIFIC ARTICLES
DOI: https://doi.org/10.26118/2782-4586.2025.48.37.004
Received: 16.06.2025 Accepted: 29.06.2025 Published: 29.06.2025
The article examines the application of optimization models for labor market supply and demand management. The authors analyze key mathematical modeling techniques, including linear and nonlinear programming, stochastic optimization, and agent-based modeling. Special focus is given to practical applications in occupational shortage forecasting, migration flow regulation, and improving government employment programs. Case studies from Russia and abroad (e.g., Canada's Express Entry system and German employment subsidies) demonstrate the effectiveness of optimization approaches. The research highlights how these models reduce labor market imbalances by 15-30% compared to traditional planning methods. The paper also explores emerging trends in AI and big data integration for labor analytics. The findings are relevant for labor economists, policy makers, and researchers in socioeconomic modeling.
optimization models, labor market, supply and demand management, forecasting, mathematical modeling
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