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Computing and Learning Stationary Mean Field Equilibria with Low-Dimensional Interactions: Algorithms and Applications
Mean field equilibrium (MFE) has emerged as a computationally tractable solution concept for large dynamic games. However, computing MFE remains challenging due to nonlinearities and the absence of contraction properties, limiting its reliability for counterfactual analysis and comparative statics.
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