A fully functional and simple Machine Learning library made entirely from scratch with Python.

Lectures and Tutorials for the Causal AI course

Reinforcement learning resources curated

Repo for Yale Applied Empirical Methods PHD Course

A PhD course in Applied Econometrics and Panel Data

Graduate Empirical Industrial Organization

Repo for the Deep Learning Nanodegree Foundations program.

Repo for the Deep Reinforcement Learning Nanodegree program

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

SpatialRDD

Deep Learning Specialization by Andrew Ng on Coursera.

Lecture notes for EC 607

Curated research at the intersection of causal inference and natural language processing.

Causal-inference oriented doctoral econometrics course at UO

R-code to compare some staggered did methods

Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)

Two-stage Difference-in-Differences package following Gardner (2021)

Course materials: POIR 613 - Computational Social Science - USC Fall 2021

fixed effect counterfactual estimators

Visualizing Panel Data

Generalized Synthetic Control Method

One day course on causal inference, MPI-EVA 9 September 2021

Statistical Rethinking course and book package

Summer Institutes in Computational Social Science

Statistical Rethinking course winter 2022

replication files for representation failure paper - with Matias Iaryczower and Sergio Montero

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

Supplementary Materials for ``Quantitative Social Science: An Introduction''

R package MatchIt