Optimizing Public Sector Resource Allocation through Dynamic Stochastic General Equilibrium Models: A Paradigm Shift for Emerging Economies
Keywords:
Dynamic Stochastic General Equilibrium (DSGE) models, public sector resource allocation, emerging economies, fiscal policy, economic stability, macroeconomic policy, economic forecasting, transitional markets, policy formulationAbstract
This study investigates the efficacy of Dynamic Stochastic General Equilibrium (DSGE) models in optimizing resource allocation within the public sector of emerging economies. Employing a quantitative approach, we calibrate DSGE models using data from various transitional markets. Our findings reveal substantial improvements in fiscal policy design, ultimately enhancing economic stability and growth. The research highlights potential pathways for policymakers to implement more efficient resource distribution strategies.
References
Rahimov, E., Rahimov, J., & Ahmedli, S. (2025). Determining the optimal relationship between speed and acceleration of a vehicle to minimize pollutant emissions into the atmosphere. Proceedings of the 2nd International Conference on Smart Environment and Green Technologies (ICSEGT2025), Vol. 1.
