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development-economics

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A structured repository of Python scripts and Jupyter notebooks for development sector data workflows — including public health, gender equity, women's economic empowerment (WEE), education, and MEL (Monitoring, Evaluation, and Learning). Includes plug-and-play templates, sample data, test coverage, and Colab-ready execution.

  • Updated Apr 28, 2025
  • Jupyter Notebook

End-to-End Python implementation of Azcue et al.'s (2025) stochastic optimal control framework for social protection policy design. Solves PDMP-based Hamilton-Jacobi-Bellman equations using analytical closed-form solutions and Monte Carlo simulation to minimize government intervention costs (through the use of cash transfers and microinsurance).

  • Updated Nov 16, 2025
  • Jupyter Notebook

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.

  • Updated Aug 31, 2025
  • Jupyter Notebook

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