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macroeconomic-modeling

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NiharJani2002 / EMINN_KrusellSmith_Implementation

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EMINN implementation of Krusell-Smith model with neural network solutions.

pytorch neural-networks value-function google-colab master-equation projection-method economic-simulation wealth-distribution heterogeneous-agents discrete-state eminn krusell-smith macroeconomic-modeling policy-function pde-residuals moment-errors finite-agent steady-state-moments relative-errors inline-plotting
  • Updated Aug 7, 2025
  • Jupyter Notebook

chirindaopensource / fx_constrained_growth

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End-to-End Python implementation of Dávila-Fernández & Sordi's (2025) methodology for FX-constrained growth modeling (in emerging markets). Features Bayesian state-space estimation via Gibbs sampling with FFBS algorithm, heterogeneous agent simulation (fundamentalists/chartists), and nonlinear dynamics analysis.

python pandas scientific-computing econometrics agent-based-modeling bayesian-inference nonlinear-dynamics mcmc sensitivity-analysis chaos-theory time-series-analysis computational-economics development-economics state-space-models digital-twin foreign-exchange behavioral-finance trade-theory research-replication macroeconomic-modeling
  • Updated Aug 31, 2025
  • Jupyter Notebook

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