Stars
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Replication Code for Athey, Chetty, and Imbens (2025)
Infrastructure for adaptive learning with surveys and experiments.
Book: R Companion to Ken Train's Discrete Choice Methods with Simulation
Measures of spatial (and non-spatial) inequality
Tips for Writing a Research Paper using LaTeX
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Markov Chain Monte Carlo Visualization Tools
R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
A Repository of Stan Models for Bayesian Sequential A/B Testing
EconML/CausalML KDD 2021 Tutorial
Keeping track of what is going on with the latest DiD innovations.
This is a full course about data management in Experimental Economics. The apps are programmed in oTree and the data analysis in R (Markdown).
Causal-inference oriented doctoral econometrics course at UO
Python and Julia Code for Structural Behavioral Economics
A list of awesome resources for Computational Social Science
Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
xweipbcsf / Stochastic-Processes--National-Research-University-Higher-School-of-Economics---Coursera
Course materials for the Coursera MOOC: Stochastic Processes from National Research University Higher School of Economics
🎓 Path to a free self-taught education in Computer Science!
A graduate course on Computational Macroeconomics