This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
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This project studies dynamic models of firm competition, innovation, market structure, and technology adoption. The HPC facility will be used to solve computational models of strategic firm behavior, simulate industry dynamics, and evaluate welfare and policy outcomes across alternative economic environments.
The project will use Python for computational dynamic programming, simulation, and numerical analysis. The main processing methods include value-function iteration, grid-based optimization, interpolation, parallel parameter sweeps, and Monte Carlo simulation. The workload is CPU compute-intensive and consists mainly of independent numerical experiments over different model specifications and parameter values.