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Alan Lujan's Projects

2014 icon 2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data icon 2014_data

Data directory for the CS109 Data Science course

ai-economist icon ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

bootcamp2019 icon bootcamp2019

Repository of syllabi, lecture notes, Jupyter notebooks, code, and problem sets for OSE Lab Boot Camp 2019

consumptionsaving icon consumptionsaving

Solve and simulate consumption-saving models in Python (optimized with Numba) and C++

demark icon demark

Demonstrations of how to use material in the Econ-ARK

dse2019 icon dse2019

Teaching materials from DSE2019 summer school at Chicago Booth

estimagic icon estimagic

Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.

hark icon hark

Heterogenous Agents Resources & toolKit

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