Structural modelling
Build intuition for lifecycle, overlapping-generations, and general-equilibrium models used in fiscal policy analysis.
Training is designed to help participants understand the theory, computation, and practical use of models employed in contemporary macro public finance research.
The training program equips economists and policy researchers with methods for building, calibrating, and applying quantitative macro models. The emphasis is on methods that are useful for actual research and policy work rather than purely abstract exposition.
Participants are introduced to lifecycle models, overlapping-generations frameworks, microsimulation, and the computational workflows needed to implement counterfactual fiscal policy analysis.
The program is suitable for PhD students, early-career academics, and policy professionals who want a clearer route into applied structural work.
The training agenda mirrors the methods used in the lab's own research pipeline.
Build intuition for lifecycle, overlapping-generations, and general-equilibrium models used in fiscal policy analysis.
Learn the numerical workflows required for value function methods, simulation, and model implementation.
Translate modelling results into statements about tax reform, pensions, transfers, and welfare trade-offs.
The program can be delivered through intensive workshops, targeted seminars, and model-based capacity building.
Hands-on instruction for researchers who want to move from theory to implementation in quantitative macro public finance.
Focused sessions for economists working in policy institutions who need stronger tools for fiscal counterfactual analysis.
Structured support around calibration, interpretation, and the communication of quantitative results.